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<h3>Job Description</h3>
Job Description
We are seeking freelancers/consultants for on site IT Support in the Boston, MA area to join our team!
As a team member, you will assist our clients with resolving a range of computer-related issues and/or provide on-site support as needed.
Responsibilities:
<ul>
<li>Installation of workstations.</li>
<li>End-user support for executives, office personnel, and other key business stakeholders; this could include installation and configuration of hardware and software applications, as well as some security functions such as password resets, etc.</li>
<li>Experience with copying/restoring end user data files, migrating Windows 7 to Windows 10 utilizing tools such as Azure, SCCM, PXE boot, etc.</li>
<li>Basic networking, rack/stack/patch, remote hands support, etc.</li>
<li>Experience working with AD (active directory), domains, group policy, etc.</li>
<li>E-mail, A/V conferencing, VoIP device replace and configuration.</li>
<li>Support of enterprise solutions including Microsoft Office365, Exchange email, Anti-Virus software, etc.</li>
<li>Provide timely and efficient executive-level support.</li>
<li>Provide technical support on commonly used applications and devices (MFD network printers, O365 Applications, etc.)</li>
</ul>
Requirements:
<ul>
<li>5+ years support experience in an enterprise environment using Windows and some Apple/Mac hardware.</li>
<li>Application support for Microsoft Office365, Document Management, SharePoint Online and Exchange Online.</li>
<li>Working knowledge of Azure, Intune, and other cloud based services.</li>
<li>Operating Systems: Windows Server, Mac OS X (Server/Workgroup Manager), iOS and Windows 7 through 10.</li>
<li>Xerox, Canon, HP printer installation, local/network configuration and print management.</li>
<li>Excellent verbal and written communication skills.</li>
<li>Ability to effectively operate independently as well as in a team environment.</li>
<li>Ability to lift heavy objects up to 50 lbs.</li>
</ul>
We Offer:
<ul>
<li>Flexible work schedule! Hours/Shifts are on-demand - we'll work with your schedule &amp; availability!</li>
<li>Competitive compensation and 2hrs. minimum pay on all assignments.</li>
<li>Job related expense reimbursement.</li>
</ul>
Apply Today!
Company DescriptionTechmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations. 
<h3>Company Description</h3>
Techmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations.

On Demand IT Support - Freelance/Consultant

<h3>Job Description</h3>
Job Description
Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics
The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior Data Engineer as we look to expand our team and support our growing roster of local and national clients.
If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.
Who We're Looking For: Senior Data Engineer&nbsp;
Data Alchemy: Forging Insights from Information C-4 Analytics is looking for an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to help shape the future of our data-driven digital marketing platforms. As a part of our growing Product, Engineering, and AI team, you’ll play a critical role in identifying and bringing together our diverse data sources and orchestrating intelligent systems. We need you to lead with an AI-forward mindset—designing and managing pipelines, platforms, and orchestration technologies that transform information into actionable insights.
We're not just processing data—we're transforming it into organizational intelligence. As our Data Engineering Virtuoso, you'll build enterprise-grade AI pipelines, turning unstructured data into decision-making gold by creating intelligent data platforms at scale.
Illuminate the Future of Marketing Intelligence The ideal candidate will have a strong background in ETL/ELT pipelines, data warehouse connectivity, data cleaning, normalization, database architecture, database optimization, and orchestration processes. This role will be responsible for orchestrating and delivering enterprise-grade AI pipelines. Connecting disparate data sources to Snowflake (our data warehouse), ensuring the cleanliness and normalization of data, and implementing database architecture best practices.
Your Canvas
<ul>
<li>Prototype the Impossible&nbsp;&nbsp;
<ul>
<li>Design, develop, and maintain proof-of-concepts using cutting-edge technologies, then refine them into production-ready solutions.&nbsp;</li>
</ul>
</li>
<li>Empower Through Innovation&nbsp;&nbsp;
<ul>
<li>Craft intuitive tools that elevate data scientists and analysts to their highest potential</li>
<li>Collaborate with cross-functional teams to ensure that data storage and organization align with business needs and objectives.</li>
</ul>
</li>
<li>Seamless Scaling &amp; Performance Optimization
<ul>
<li>Implement database architecture best practices, including database sharding, replication strategies, indexing, and optimization techniques to enhance data performance.</li>
</ul>
</li>
<li>Compose Data Symphonies&nbsp;&nbsp;
<ul>
<li>Orchestrate enterprise-grade AI pipelines for complex data flows that bring harmony to disparate sources through batch and streaming pipelines</li>
<li>Evaluate and optimize data storage and retrieval systems based on relationships, data access patterns, cost-effectiveness, and performance requirements.</li>
</ul>
</li>
<li>Blueprint Before Building&nbsp;&nbsp;
<ul>
<li>Design elegant solutions and document your vision so others can follow your path</li>
<li>Provide leadership and guidance on information architecture decisions, ensuring that data is stored, organized, and accessed in the most efficient and effective manner.</li>
</ul>
</li>
</ul>
Your Toolkit
<ul>
<li>The Languages You Speak: Python, SQL, the dialect of data</li>
<li>Libraries | Tools: Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena</li>
<li>Your Trusted Companions: Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes</li>
<li>Your AWS Kingdom: Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3—the building blocks of cloud mastery</li>
<li>Your Philosophy: Continuous integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication</li>
</ul>
Preferred Qualifications
<ul>
<li>Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few…</li>
<li>Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc.</li>
<li>Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi</li>
</ul>
What's important for us:
<ul>
<li>Academically Grounded: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.</li>
<li>Seasoned Practitioner: 5+ years of experience in data engineering, with a focus on data infrastructure, architecture, and database management.</li>
<li>Code Craftsperson: Fluent in Python and SQL, expressing complex logic with elegant simplicity</li>
<li>Database Strategist: Understanding when to deploy relational, vector, graph, or document data models. Strong understanding of database architecture principles, including sharding, replication, indexing, and optimization techniques.</li>
<li>Data Driven: Proficiency in designing and developing ETL/ELT pipelines for data integration and transformation.</li>
<li>Cloud Navigator: Confidently guiding projects through the AWS ecosystem and hands-on experience with Snowflake or similar cloud-based data warehouse platforms.</li>
<li>Dynamic Collaborator: Adept Problem-Solver with keen attention to detail. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment. Your data and pipelines will directly power our most core platforms that our client teams rely on to make million-dollar decisions.”</li>
<li>Infrastructure Poet – Expressing infrastructure needs as clear, reproducible code. Packaging or containerizing applications for consistency across environments. Knowledge of information architecture best practices, data modeling, and data governance.</li>
<li>Question Seeker – Finding the right questions that others haven't thought to ask.&nbsp;</li>
</ul>
Brownie Points
<ul>
<li>Visualization Artist – Creating compelling visual narratives from complex data patterns</li>
<li>Statistical Thinker – Grounding engineering decisions in mathematical rigor</li>
<li>Framework Explorer – Experience with web frameworks that extend data's utility</li>
<li>Security Mindful – Navigating enterprise security with confidence and care</li>
</ul>
Compensation:
We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $120,000.00 - $180,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.
Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.
Flexibility:
We have a strong preference for this position to reside in our Wakefield, MA office. The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:
<ul>
<li>Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community.</li>
<li>Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.</li>
</ul>
Working at C-4 Analytics
We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details.&nbsp; What our Employees Say:
Want to know what makes working at C-4 Analytics so rewarding? Take it from the true experts: our current teammates. Recent surveys about our workplace and culture suggest that our staff loves:&nbsp;
<ul>
<li>The People: It's not just a cliché; we have the best, hungriest and smartest team in the business.</li>
<li>The Culture: Teamwork. Camaraderie. Perseverance. We hire for these traits, and it shows.</li>
<li>The Growth: We place a real emphasis on training, development and career planning.</li>
<li>The Trust: Our managers empower their people and teams to thrive in their own ways.</li>
<li>The Challenge: We work in a competitive industry and a dynamic field. You'll never be bored!</li>
</ul>
In-Office Perks
<ul>
<li>Accelerated Growth via Osmosis and Coaching: Learn sales strategies and industry knowledge naturally by hearing colleagues handle calls and receive instant feedback and hands-on guidance from your manager and colleagues during in-person weekly one-on-ones.</li>
<li>Boosted Visibility and Networking: Build strong connections with your team, leaders, and mentors, increasing your visibility within the organization, which can lead to more opportunities for career advancement.</li>
<li>Soft Skills Mastery: Develop crucial soft skills in a group setting, such as communication, problem-solving, and teamwork, which are essential for long-term professional success.</li>
<li>Knowledge Transfer and Expertise: Benefit from informal knowledge sharing and mentorship, ensuring constant access to the information and guidance needed to become an expert in the automotive world.</li>
<li>Spark Innovation and Collaboration: Physical proximity facilitates spontaneous discussions and brainstorming sessions that spark innovative and creative solutions to problems.</li>
<li>Enjoy Daily Perks and Wellness: Fuel your day with cold brew on tap, free beverages, and a stocked snack pantry. Additionally, enjoy free weekly lunch and monthly wellness events like Yoga and Paint &amp; Sip.</li>
<li>Structured Work-Life Balance: Our Monday through Friday, 9:00 am to 5:30 pm schedule helps you separate work from home, reducing the risk of burnout.</li>
</ul>
More About C-4 Analytics
C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.
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PWjoJTvPSQ

Senior Data Engineer - Data Infrastructure and Architecture

<h3>Job Description</h3>
Job DescriptionCompany Overview Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients and their families living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases and provide meaningful support for healthcare providers and patients and their families. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together. Job Summary We are seeking a highly motivated and experienced Director of Data Science to lead data-driven initiatives in support of our clinical, regulatory, and scientific objectives. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for developing and implementing advanced data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic area. This role will work collaboratively with key inter-disciplinary stakeholders (e.g. biostatistics, clinical development and regulatory affairs) to drive the generation of actionable data insights to support enterprise-wide goals and initiatives. This position offers the opportunity to shape data strategy at a growing biotech and directly impact research, development, and regulatory decision-making. Responsibilities and Duties
<ul>
<li>Lead the design, development, and implementation of data analysis pipelines, predictive models, and statistical frameworks to support research, clinical, and regulatory programs.</li>
<li>Partner cross-functionally with Biostatistics, Clinical, Regulatory, and Market Access teams to ensure data insights align with organizational priorities.</li>
<li>Oversee data processing, curation, and integration from clinical trials, biomarker studies, and external datasets.</li>
<li>Translate complex data outputs into actionable insights to inform publications, protocol development, and regulatory submissions.</li>
<li>Ensure data quality, reproducibility, and compliance with company and industry standards.</li>
<li>Provide scientific and technical leadership for the use of statistical genetics, machine learning, and advanced analytics in biomarker and outcomes research.</li>
<li>Mentor and guide junior scientists and analysts in the use of SQL, Python, and R for statistical modeling, data visualization, and automation.</li>
<li>Collaborate with internal and external stakeholders to drive innovation in data science applications and contribute to the company’s broader data strategy.</li>
</ul>
 Qualifications and Skills
<ul>
<li>Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.</li>
<li>8+ years&nbsp;of industry experience in biotechnology, pharmaceuticals, or healthcare analytics, with demonstrated leadership in cross-functional projects.</li>
<li>Experience with obesity/metabolic-related biology and datasets</li>
<li>Strong programming and data manipulation skills in SQL, Python, and R.</li>
<li>Proven expertise in biostatistics, statistical genetics, and predictive modeling.</li>
<li>Experience integrating and analyzing clinical trial and biomarker datasets.</li>
<li>Experience handling population-scale genomics datasets (e.g., UKB, AoU); familiarity with the ACMG classification system; statistical analysis of rare variants. </li>
<li>Familiarity with real-world data, electronic medical records, omics analysis, and data visualization platforms.</li>
<li>Excellent communication skills with the ability to translate data findings into strategic insights for diverse stakeholders.</li>
<li>Demonstrated ability to work independently, prioritize effectively, and deliver high-quality results under deadlines.</li>
<li>Track record of innovation, scientific rigor, and collaboration across multidisciplinary teams.</li>
<li>Leadership experience in a matrixed environment or managing small teams.</li>
</ul>
 This role is based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve&nbsp;some travel. The expected salary range for this position is $182,000 - $275,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units. More about Rhythm We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause.&nbsp; Our team is passionate about&nbsp;expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism. At Rhythm our core values are:
<ul>
<li>We are committed to advancing scientific understanding to improve patients’ lives</li>
<li>We are inspired to tackle tough challenges and have the courage to ask bold questions</li>
<li>We are eager to learn and adapt</li>
<li>We believe collaboration and ownership are foundational for our success</li>
<li>We value the unique contribution each individual brings to furthering our mission</li>
</ul>
 Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law. Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts. &nbsp;
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ntgvSgLhU4

Director, Data Science

<h3>Job Description</h3>
Job Description
Job Title: Data Engineer FLSA Classification: Exempt (Salaried)
Reports to: Senior Director of Business and Data Analytics
Position Summary 
The Data Engineer is responsible for developing and maintaining GBFB’s data warehouse and other data-related products including API management, data ingestion, data modeling, cost/activity monitoring and implementing best practice solutions to improve data reliability, efficiency, and quality. They will share the Business and Data Analytics team’s goal to grow GBFB’s data management program, empower self-service reporting, and drive data-informed insights &amp; action across GBFB.

Role &amp; Responsibilities
<ul>
<li>Develop data platforms including data warehouses, analytic products, data lakes, ETL, ML models, and data pipelines in collaboration with the Senior Director, data analysts, and subject matter experts.</li>
<li>Centralize, transform, and model data in Azure to enable powerful analysis and draw a more comprehensive picture of user flows throughout our system.</li>
<li>Enhance and optimize Azure data ingestion pipelines and automations.</li>
<li>Develop and manage Boomi, Power Automate, and other data extract/load pipelines.</li>
<li>Provide relational database expertise (Netsuite, Salesforce, SQL, etc.) to construct views and execute queries to be used in data visualization and analysis activities.</li>
<li>Develop data models that can be used to make predictions and answer questions for the overall business.</li>
<li>Develop self-service data solutions to provide a range of business leaders and functional areas insights into GBFB’s operations.</li>
<li>Leverage industry best practices to ensure data quality standards are met.</li>
<li>Apply and ensure adherence to IAM and Data Governance policies.</li>
<li>Promote updated code through DevOps through the development, pre-production, and production tiered environment.</li>
<li>Develop and execute tools to monitor and report on data warehouse activity, access and data quality and ensure optimized performance and cost efficiency. </li>
<li>Foster appreciation and adherence to the principles of data quality management.</li>
<li>Collaborate with Technology team in managing security mechanisms and data access governance.</li>
<li>Respond to data and product related inquiries to support business and technical teams.</li>
<li>Support the development and implementation of the Service Insights client data collection effort through API management, data ingestion and modelling; providing expertise to ensure quality data capture, analytic capabilities, and support the potential for changing business needs and future growth.</li>
<li>Act as backup to Data Analyst and Senior Data Analyst.</li>
<li>Maintain and develop departmental Standard Operating Procedures</li>
<li>Other duties as assigned.</li>
</ul>
 
Skills:
<ul>
<li>Deep understanding of database design, architecture, and management.</li>
<li>Knowledge of data warehousing architecture, concepts, methodologies, and best practices.</li>
<li>Knowledge of data governance, data quality management concepts, and data quality tools. </li>
<li>Proficient in SQL, Python, and some experience with other programming languages for cloud platform (e.g., Java/C#/Unix).</li>
<li>Ability to transform business requirements into technical requirements.</li>
<li>Ability to develop machine learning models.</li>
<li>Ability to analyze large and diverse data sets.</li>
<li>Strong critical thinking skills.</li>
<li>Excellent problem solving and troubleshooting skills.</li>
<li>Strong relationship building and interpersonal skills.</li>
<li>Strong communication skills both verbal and written.</li>
<li>Ability to create insightful and accessible data visualizations.</li>
<li>Ability to create professional and comprehensive reports and summaries.</li>
<li>Flexibility and adaptability to emerging and changing priorities.</li>
<li>Ability to multi-task and manage tight deadlines.</li>
<li>Sensitivity to issues affecting low-income, food insecure populations.</li>
</ul>
Qualifications:
<ul>
<li>MS in Computer Science, Engineering, or related field; BS in Computer Science, Engineering or related field and minimum of 3 years working in a Data Engineer or related role; or 5+ years of experience working in a Data Engineer role required.</li>
<li>Hands-on experience with big data application development and cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) required.</li>
<li>Knowledge of Azure Synapse and DevOps required; hands-on experience preferred.</li>
<li>2+ years of experience with SQL required.</li>
<li>2+ years of experience with scripting languages (Python, PowerShell) required.</li>
<li>2+ years of experience interacting with web service APIs (SOAP, REST) required.</li>
<li>2+ years of experience designing, implementing, testing, optimizing, and troubleshooting data ETL solutions preferred.</li>
<li>Experience with BI reporting tools required, Power BI preferred.</li>
<li>Experience with Boomi preferred.</li>
<li>Experience with Power Automate preferred. </li>
<li>Demonstrates the required digital competencies that result in the effective usage of the full range of digital technologies at GBFB.</li>
</ul>
Physical Demands:
<ul>
<li>Ability to work in an office environment.</li>
<li>Ability to work remotely both independently and collaboratively using connectivity tools like Zoom and MS Teams.</li>
<li>Ability to sit for up to 3 hours at a time.</li>
<li>Ability to lift up to 25 pounds with or without assistance.</li>
<li>Ability the use of hands for simple grasping and fine manipulations. </li>
<li>Ability to travel based on business needs. </li>
</ul>
Work Location: 
<ul>
<li>Hybrid: This role follows a hybrid schedule working in accordance with GBFB’s hybrid work policy on the team’s designated days. This schedule is subject to change based on the organization’s mission to end hunger.</li>
</ul>
Affirmative Action/EEO statement 
GBFB provides equal employment opportunities to all Team Members and applicants for employment without regard to race, creed, color, religion, national origin, citizenship status, gender, sexual orientation, marital status, age, disability, handicap, genetic information, protected veteran status or any other characteristic protected by applicable federal, state, and local laws. This applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.
No Team Member or applicant will be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged in or may engage in any of the following: (1) filing a complaint of employment discrimination; (2) assisting or participating in an investigation, compliance review, hearing, or any other activity related to the administration of any federal, state or local law requiring equal opportunity; (3) opposing any act or practice made unlawful by any federal, state or local law requiring equal opportunity; or (4) exercising any other right protected by any federal, state or local law requiring equal opportunity.

Data Engineer

<h3>Job Description</h3>
Job Description
Mission Summary
At Motional, data plays a critical role in fueling our ML-centered autonomous driving vehicle. Our robo-taxi fleet collects petabytes of data on the road every day – the Data Mining team is mining &amp; filtering the massive influx of fleet data by developing billion-scale data workflows and state-of-the-art mining algorithms. Through our Continuous Learning Framework we continuously improve the on-road performance of ML products for perception, prediction &amp; planning with every mile driven.
We mine for model errors, anomalies, rare objects &amp; long-tail driving scenarios across millions of driving hours – these are used for laser-focused ML model training and continuous edge case validation. We are looking for an engineer to spearhead new mining strategies &amp; workflows and help deliver high-quality data that improve our core ML products. 
Read more about Continuous Learning and Data Mining at Motional:
<ul>
<li>Continuous Learning Framework</li>
<li>Scenario Mining</li>
</ul>
What You'll Do:
<ul>
<li>Own large-scale mining workflows that surface rare objects, model errors &amp; long-tail events.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Contribute to data processing pipelines that fuel our in-house billion-scale image search engine.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error analysis across complex driving scenarios.</li>
</ul>
What We're Looking For:
<ul>
<li>BS in computer science or similar discipline.</li>
<li>5+ years of experience architecting and shipping high-performance &amp; large-scale distributed systems.</li>
<li>Experience with core AWS services (S3, RDS, EMR, EKS, OpenSearch etc.).</li>
<li>Experience with writing complex yet efficient SQL queries for data analysis purposes.</li>
<li>Experience with common DBMS (PostgreSQL, MySQL, MongoDB etc.).</li>
<li>Experience with data warehousing and parquet data manipulation (e.g. Athena, Redshift, BigQuery).</li>
<li>Experience with Spark, Beam, Kafka, Hadoop or other data processing tools.</li>
<li>Fluency in Python and experience on production-quality software development.</li>
<li>Solid software engineering principles (software design patterns, configuration management, source control, build processes, code reviews, testing methodologies, app containerization, continuous integration etc.).</li>
</ul>
Preferred, but not required:
<ul>
<li>MS/PhD in computer science, machine learning, statistics or computer vision.</li>
<li>Experience with at least one of the following ML techniques/models: Few-shot Learning, Metric Learning, Information Retrieval, Recommender Systems, Contrastive Learning, Semi-supervised Learning, Object Detection / Segmentation / Prediction.</li>
<li>Experience with data visualization tools (Redash, Looker, PowerBI, Tableau etc.).</li>
<li>Experience with PyTorch or other deep learning frameworks.</li>
<li>Experience with A/B testing methodologies and metrics tracking systems.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Familiarity with autonomous driving sensors (cameras, lidar, radar, localization sensors etc.). </li>
</ul>
This position can support remote work within the United States.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range$155,300—$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Senior Software Engineer, Data & Machine Learning Infrastructure

<h3>Job Description</h3>
Job Description
The Front-End Assistant Manager plays a vital role in the day-to-day operations of McKinnon's
The Assistant Manager will be required to help the Front End Manager, and store management with Customer Service with a Smile (Required), Till/Safe Balancing, Daily and Weekly Paperwork, Staff Training, covering breaks, assisting with bringing in carriages and other duties as required.
 
Experience a Plus, but we will train the right candidate.
 Job Posted by ApplicantPro

Front-End Assistant Manager

<h3>Job Description</h3>
Job Description
This is a fully remote opportunity.
Gradient AI: 
 Gradient AI is revolutionizing Group Health and P&amp;C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. 
About the Role: 
At Gradient AI, we are transforming insurance with advanced machine learning and rich data. We are looking for Principal Data Scientists to help shape the future of our underwriting products in the healthcare and care management space by turning complex data into real value for our customers. 
You will work closely with a talented and supportive team to research user needs, prototype new ideas, build production models, and deliver intelligent solutions at scale. If you enjoy solving real problems with real impact in a collaborative and fast-moving environment, this is the role for you! 
How you will make an impact:
<ul>
<li>Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques.</li>
<li>Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies. </li>
<li>Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions. </li>
<li>Stay current with industry trends, emerging technologies, and best practices in data science and health insurance. Propose innovative solutions to enhance underwriting processes and patient care management. </li>
</ul>
Experience requirements:
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 12+ years of professional data science experience building health insurance underwriting or care management solutions</li>
<li>OR Master's or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 7+ years of professional data science experience building health insurance underwriting or care management solutions </li>
</ul>
Skills needed to succeed: 
<ul>
<li>Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs). </li>
<li>Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.) </li>
<li>At least 4+ years in Health underwriting, insurance, or managed care industry experience required</li>
<li>Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines </li>
<li>Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data. </li>
<li>Fluency in SQL, Relational databases, and Databricks </li>
<li>Fluency in AWS or similar Cloud computing environment </li>
</ul>
Bonus qualifications:
<ul>
<li>Fluency with actuarial methods and working with actuaries is a plus </li>
<li>Experience with MLOps principles and tools such as MLflow to build, deploy, and productionize machine learning models is a nice to have </li>
</ul>
What We Offer:
<ul>
<li>A fun, team-oriented startup culture. </li>
<li>Generous stock options - we all get to own a piece of what we're building. </li>
<li>Unlimited vacation days. </li>
<li>Flexible schedule that supports working from home. </li>
<li>Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. </li>
<li>Ample opportunities to learn and take on new responsibilities. </li>
</ul>
We are an equal opportunity employer. 
Salary Range: $190,000 - 235,000k base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Principal Data Scientist

<h3>Job Description</h3>
Job DescriptionWho we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. We are seeking an engineer to join our Data Acquisition (DA) team. Engineers at Zus have the opportunity to collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform.&nbsp; The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.&nbsp; The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about. You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc).&nbsp; You will also work on RESTful services that are used both internally and externally.&nbsp; Go is our language of choice, although we also have some components written in NodeJS. The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.&nbsp; In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.&nbsp; Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.&nbsp; We actively work to make sure all voices are heard and information is shared regardless of your work location. This role begins with a mentorship in Zus engineering best practices, processes and team culture.&nbsp; Folks joining Zus engineering in this role are required to plan on at least 3 months of 50% attendance in the Boston office to get up to speed.You are a good fit because you...
<ul>
<li>Are scrappy and you move fast</li>
<li>Have experience with operationally stable and cost efficient data pipelines</li>
<li>Enjoy owning your work and seeing it deploy safely in production</li>
<li>Have experience building backend software in any language (we use mostly Go with a bit of Node)</li>
<li>Have some experience with working with and deploying software to a cloud environment (ie, GCP, AWS, Azure)</li>
<li>Are excited to ~ finally! ~ enable a true digital revolution in healthcare</li>
<li>Thrive amid the changing landscape of a growing and evolving startup</li>
<li>Enjoy collaboration and solving unique problems</li>
<li>Are in the Boston metro and excited to collaborate in person on a hybrid schedule at least 50% of the time</li>
</ul>
It would be awesome if you were… (any of the following is a great bonus!)
<ul>
<li>Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI),&nbsp; cloud providers (AWS, Azure, GCP)), or Infrastructure as Code (Terraform, CloudFormation, Chef)</li>
<li>Experienced in building services and APIs used by third-party developers</li>
<li>Have supported customers operationally via escalations and/or incidents in a production environment.&nbsp;&nbsp;</li>
<li>Knowledgeable about application security</li>
<li>Experienced in working with healthcare data and APIs</li>
<li>Familiar with the FHIR and/or TEFCA standards</li>
</ul>
We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People &amp; Talent, over video interviews. Job scams do exist so please be careful with your personal information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Software Engineer, Data Acquisition Team

<h3>Job Description</h3>
Job Description
Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems.
We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems — and eager to grow in a fast-moving, high-impact team.
This opportunity can support remote work within the United States, with occasional travel.
What You'll Be Doing:
You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day-to-day responsibilities include:
<ul>
<li>Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by executing high-value experiments based on collaborative input from other machine learning engineers</li>
<li>Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities</li>
<li>Timely release of major model updates, including analysis of both off-line and on-road evaluation data</li>
<li>Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs</li>
<li>Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation</li>
</ul>
What We're Looking For:
<ul>
<li>Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. </li>
<li>In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures etc.</li>
<li>Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions. </li>
<li>Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods</li>
<li>Knowledge or course experience of generative models such as VLM, VLA etc. </li>
<li>Experience with PyTorch or other Python-based deep learning frameworks</li>
<li>Experience working with large data sets, data curation, and augmentation. </li>
</ul>
Bonus Points
<ul>
<li>Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.)</li>
<li>Project or internship experience on VLM, VLA and other foundation models for robotics and self-driving. </li>
<li>PhD in machine learning, generative AI, computer vision, or robotics vision</li>
<li>Project experience working on autonomous vehicles or related fields</li>
<li>Experience in deploying models into real-world environments</li>
<li>Strong programming skills in C++ and/or CUDA programming</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range$142,000—$190,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Machine Learning Engineer - Behaviors

<h3>Job Description</h3>
Job Description
About Axtria&nbsp;
Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.&nbsp;
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.&nbsp;
The Opportunity&nbsp; We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations.&nbsp;
Key Responsibilities &nbsp;
Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows.  &nbsp;
<ul>
<li>
Lead client engagements and expansion of business focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement. &nbsp;
</li>
</ul>
<ul>
<li>
Manage a portfolio P&amp;L with accountability for revenue growth, gross margins, and delivery excellence. &nbsp;
</li>
</ul>
<ul>
<li>
Develop and convert pipeline opportunities ($1-3M+ range) by aligning client priorities with Axtria’s GenAI and ML offerings. &nbsp;
</li>
</ul>
<ul>
<li>
Influence account strategy, pricing models, investment cases, and strategic alliances. &nbsp;
</li>
</ul>
<ul>
<li>
Oversee solution delivery teams (15+ globally), ensuring scientific rigor, innovation velocity, and commercial impact. &nbsp;
</li>
</ul>
<ul>
<li>
Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions. &nbsp;
</li>
</ul>
<ul>
<li>
Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions. &nbsp;
</li>
</ul>
<ul>
<li>
Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows. &nbsp;
</li>
</ul>
<ul>
<li>
Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU. &nbsp;
</li>
</ul>
<ul>
<li>
Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market.&nbsp;
</li>
</ul>
<ul>
<li>
Design solution frameworks to accelerate AI adoption and impact patient outcomes.&nbsp;
</li>
</ul>
<ul>
<li>
Develop and pitch proposals to grow the Data Science practice and Axtria’s client base.&nbsp;
</li>
</ul>
Qualifications&nbsp;
<ul>
<li>
Bachelor’s degree required; MS/PhD in Computer Science or related field preferred.&nbsp;
</li>
</ul>
<ul>
<li>
12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops.&nbsp;
</li>
</ul>
<ul>
<li>
Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data.&nbsp;
</li>
</ul>
<ul>
<li>
Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment.&nbsp;
</li>
</ul>
<ul>
<li>
Strong consultative and client-facing experience with a commercial mindset.&nbsp;
</li>
</ul>
<ul>
<li>
Experience in RFP development, solution selling, and delivering AI applications in life sciences.&nbsp;
</li>
</ul>
<ul>
<li>
Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus.&nbsp;
</li>
</ul>
<ul>
<li>
Patents or publications in AI/ML a strong plus.&nbsp;
</li>
</ul>
Why Join Axtria&nbsp;
<ul>
<li>
Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.&nbsp;
</li>
</ul>
<ul>
<li>
Shape the future of AI in life sciences and make a real impact on healthcare outcomes.&nbsp;
</li>
</ul>
<ul>
<li>
Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.&nbsp;
</li>
</ul>
<ul>
<li>
Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.&nbsp;
</li>
</ul>
Additional Details&nbsp;
<ul>
<li>
Hybrid work model (3 days onsite) Berkeley Heights, NJ OR Waltham, MA &amp; client.&nbsp;
</li>
</ul>
<ul>
<li>
Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.&nbsp;
</li>
</ul>
Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.&nbsp;
Pay Transparency Laws&nbsp; Salary range or hourly pay range for the position&nbsp; &nbsp; The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.&nbsp; &nbsp; The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.&nbsp;
 #LI-VG1&nbsp;
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