applied scientist, artificial general intelligence, agi data services

senior analyst - fp&a(financial planning & analysis)

senior business analyst, research (hybrid)

research technician 1, school of medicine, pharmacology

applied scientist, artificial general intelligence, agi data services Jobs in Boston

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data management analyst - officer

data scientist - graduate

senior analyst - fp&a(financial planning & analysis) Jobs in Boston

senior business analyst, research (hybrid) Jobs in Boston

senior data scientist

Nasdaq

<div>
 
 Data Scientist
 
 
 
 At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.
 
 
 You don't need to know everything on day one &mdash; we'll help you build the skills, confidence, and network to grow your career.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design, research &amp; architect AI/ML solutions across the enterprise.
 </li>
 <li>
 Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
 </li>
 <li>
 Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
 </li>
 <li>
 Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.
 
 
 </li>
 </ul>
 
 What we expect:
 
 
 
 <ul>
 <li>
 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
 </li>
 <li>
 Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
 </li>
 <li>
 Understanding of the fundamentals of Statistics &amp; Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
 </li>
 <li>
 Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
 </li>
 <li>
 Fluency in Python and SQL or other similar relational database management systems.
 </li>
 <li>
 Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Work experience in a corporate environment or finance/fintech industry
 </li>
 <li>
 Demonstrated interest in finance and/or market microstructure
 </li>
 <li>
 Industry experience with Deep Learning models and methods (Deep Learning Life cycle &ndash; from Problem Definition to Model Evaluation and Monitoring)
 
 
 </li>
 </ul>
 This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
 
 
 
 Come as You Are
 
 
 
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
 
 
 
 What We Offer
 
 
 
 We&rsquo;re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq&rsquo;s overall success.
 
 
 The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
 
 
 Nasdaq&rsquo;s programs and rewards are intended to allow our employees to:
 
 
 <ul>
 <li>
 Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
 </li>
 <li>
 Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
 </li>
 <li>
 Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
 </li>
 <li>
 Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
 </li>
 <li>
 Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
 
 
 </li>
 </ul>
 
 For more information, visit
 
 Nasdaq Benefits &amp; Rewards Career page
 
 .
 
</div>

Data Scientist - Graduate

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
This Senior Decision Scientist will play a pivot role supporting strategic, data-driven initiatives across CVS Health's PBM Caremark ecosystem. You will collaborate with cross-functional stakeholders, lead projects, and translate data into solutions that tangibly drive business value. In this role, you will apply your analytical expertise and PBM data experience to help drive the success of digital products and ensure they meet customer needs and business expectations.
This role is responsible for determining the most accurate and effective analytical methodology for forecasting models and then collaborating with cross-functional teams to ensure effective development, deployment, and business integration of the models. You will work directly with business partners to identify and prioritize opportunities for expansion and improvement of solutions, bridging the gap between development teams, stakeholders/business partners and users across various functional areas. You will also assess the performance and impact of models / solutions by conducting statistical analyses and measuring key performance indicators.
What you will do<ul><li>
Work with cross-functional teams to drive and execute the development and deployment of analytical models</li><li>
Apply in-depth knowledge of forecasting methodology to translate business and client needs into analytical models and solutions support clients</li><li>
Identify opportunities for enhancements through data-driven analyses evaluating potential risks and benefits and quantify the impact of strategic decisions</li><li>
Conduct complex cost-benefit analyses to assess the feasibility of new methodologies, evaluate potential risks and benefits, and quantify the impact of strategic decisions</li><li>
Present analytical findings to executives and stakeholders to effectively communicate detailed information, gain alignment, and influencing upwards and laterally to drive organizational change and alignment</li><li>
Answer detailed questions from collaborators and stakeholders around the methodological details of forecasting models</li><li>
Coaches more junior colleagues and team members in techniques, processes, and responsibilities</li></ul> 
Required Qualifications<ul><li>
3+ years work experience</li><li>
Experience in problem solving and decision-making</li><li>
Experience in developing data-driven recommendations and solutions</li><li>
Technical knowledge and experience with Excel and SQL/SAS/Teradata</li></ul> 
Preferred Qualifications<ul><li>
Proven success in developing data-driven recommendations and solutions</li><li>
Strong execution and delivery (planning, delivering, and supporting) skills</li><li>
Strong growth mindset (agility and developing yourself and others) skills</li><li>
Strong stakeholder management skills</li><li>
Strong collaboration and teamwork skills</li><li>
Strong interpersonal and presentation skills</li></ul> 
Education
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/03/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Decision Scientist - PBM Forecasting Analytics

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Hike Medical

<div>The Role 
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy. 
What You&rsquo;ll Work On<ul><li>
3D Reconstruction &amp; Generation: Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</li><li>
Deep Learning: Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</li><li>
CAD Integration: Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</li><li>
Rapid Prototyping &amp; Continual Learning: You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</li><li>
Production ML: Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</li></ul> 
Ideal Candidate Profile 
Technical Requirements<ul><li>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</li><li>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</li><li>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</li><li>
Strong proficiency in Python and PyTorch.</li><li>
Experience in CAD and computational geometry is a big plus.</li><li>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</li><li>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</li></ul> 
Helpful Characteristics<ul><li>
Fast Iteration Mindset: Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</li><li>
Product Minded: Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</li><li>
Polymathic: You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</li><li>
Strong Communicator: You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</li><li>
Mission-Driven: You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</li><li>
Thrives in Collaboration: You push back, ask tough questions, and elevate the team.</li></ul></div>

Senior Machine Learning Engineer

Zoox

<div><div>The Perception team at Zoox creates the &quot;eyes and ears&quot; of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects&mdash;all in real-time and with exceptional accuracy. 
As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.</div>
<h3 class="jobSectionHeader">In this role, you will...</h3><div>
<ul>
<li>Design and train Vision-Language-Action (VLA) solutions for robotaxis
</li>
<li>Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
</li>
<li>Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
</li>
<li>Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
</li>
<li>Partner with cross-functional teams to integrate perception signals
</li>
</ul></div><h3 class="jobSectionHeader">Qualifications</h3><div>
<ul>
<li>MS or PhD in Computer Science or related field
</li>
<li>Background in deep learning solutions for VLM and VLA models
</li>
<li>Track record in post-training large-scale models, CPT, SFT, RL
</li>
<li>Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
</li>
<li>Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
</li>
</ul></div><h3 class="jobSectionHeader">Bonus Qualifications</h3><div>
<ul>
<li>Deep knowledge of cutting-edge computer vision techniques
</li>
<li>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
</li>
<li>Experience with integrating large language models to various tasks.
</li>
</ul></div><div><div>Base Salary Range</div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div>About Zoox</div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div> 
Follow us on LinkedIn</div><div></div><div> 
Accommodations</div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div> 
A Final Note:</div><div>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

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.</div>

Senior Machine Learning Engineer - Scene Understanding

Dana-Farber Cancer Institute

<div>
 The Walensky laboratory of cancer chemical biology at the Dana-Farber Cancer Institute and Harvard Medical School is seeking an energetic, efficient, and resourceful Research Technician interested in gaining experience under a principal investigator who serves as a physician, scientist, and educator.
 
 
 Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
 
 
 Specific research duties will include experimentation in a variety of areas spanning chemistry, biochemistry, and cancer cell biology. Responsibilities could include ligand binding analyses, protein production and purification, assays on cells, purified organelles, and cell lysates. The primary area of research focus is deregulated cell death and transcriptional pathways in cancer, with a major interest in overcoming chemoresistance through the development and application of novel chemical tools and prototype therapeutics.
 
 
 The successful candidate will be a highly organized and detail-oriented individual with a strong interest in laboratory-based research. They will demonstrate the ability to manage multiple tasks efficiently, follow protocols precisely, and maintain accurate records in a fast-paced, collaborative research environment. The ideal candidate will be a motivated team player with strong written and verbal communication skills, basic computer and data-management proficiency, excellent interpersonal skills, and the capacity to work independently under guidance while contributing effectively to an interdisciplinary research team
 
 
 
 Required Qualifications
 
 
 
 Bachelor&rsquo;s degree in Chemistry, Biochemistry, Cell Biology, or a related field
 
 
 Minimum of one (1) year of experience in an academic or industrial basic science laboratory
 
 
 
 Preferred Qualifications
 
 
 
 Hands-on experience with mammalian cell culture and/or molecular biology techniques Familiarity with standard laboratory instrumentation and data documentation practices Experience working in an interdisciplinary research setting.
 
 
 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
 
 
 Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
 
 
 EEO Poster
 
 
 Pay Transparency Statement
 
 
 The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate&rsquo;s relevant experience, skills and qualifications.
 
 
 For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
 
 
 $47,500.00 - $51,300.00
</div>

Research Technician

Method Recruiting, a 3x Inc. 5000 company

<div>
 
 
 Senior Data Analyst &ndash; E-commerce
 
 
 
 
 Location:
 
 Concord, MA (Hybrid &ndash; 3x/week)
 
 
 
 
 
 We&rsquo;re partnering with a high-growth consumer brand to hire a
 
 Senior Data Analyst
 
 to own end-to-end analytics across their e-commerce business.
 
 
 This is a highly cross-functional role working with marketing, product, and finance to turn data into clear insights that drive revenue, customer growth, and smarter decision-making.
 
 
 
 
 
 
 What You&rsquo;ll Own:
 
 
 <ul>
 <li>
 Full-funnel e-commerce analytics (traffic ? conversion ? LTV)
 </li>
 <li>
 Marketing performance + attribution (Meta + beyond last-click)
 </li>
 <li>
 Experimentation (landing pages, offers, funnel optimization)
 </li>
 <li>
 Product &amp; web analytics (user behavior, UX insights)
 </li>
 <li>
 Executive dashboards + KPI reporting (CAC, LTV, ROAS, etc.)
 </li>
 <li>
 Data modeling + contributions to the data warehouse
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4&ndash;7+ years in analytics (data/product/business)
 </li>
 <li>
 E-commerce, DTC, marketplace, or subscription experience
 </li>
 <li>
 Strong SQL + experience with BI tools (Tableau, Looker, etc.)
 </li>
 <li>
 Familiarity with Shopify + paid media data (Meta, etc.)
 </li>
 <li>
 Experience partnering cross-functionally and influencing decisions
 </li>
 <li>
 Bonus: Python + experience supporting data infrastructure projects
 </li>
 </ul>
 
 
</div>

Sr. Data Analyst, Ecommerce

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