applied scientist, artificial general intelligence

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senior data engineer - analytics Jobs in Boston

senior data engineer - analytics

applied scientist, artificial general intelligence Jobs in Boston

data analyst - banking sql Jobs in Boston

data analyst - banking sql

data analyst associate, research Jobs in Boston

data analyst associate, research

data scientist

Shift Technology

<div><div>Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.</div>
About the Team
<ul>
<li>This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.</li>
<li>Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.</li>
<li>Our company is small enough that each person's achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.</li>
<li>As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.</li>
</ul>
Key Responsibilities
<ul>
<li>Your role will be to actively contribute to the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images.</li>
<li>Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.</li>
<li>Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for subrogation, claims handling, document understanding, and related use cases.</li>
<li>Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of autonomous subrogation solutions.</li>
<li>Develop &quot;Chain-of-Thought&quot; and &quot;ReAct&quot; prompting strategies to ensure the agent can justify its liability percentages based on the Comparative Negligence laws of different jurisdictions.</li>
<li>Create custom &quot;tools&quot; for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.</li>
<li>Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent's decisions are unbiased, legally sound, and explainable.</li>
<li>Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.</li>
<li>Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.</li>
</ul>
WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
<ul>
<li>Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.</li>
<li>Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.</li>
<li>Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.</li>
<li>Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.</li>
<li>Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).</li>
<li>Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.</li>
</ul>
Highly Desired Skills
<ul>
<li>Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake. Good understanding of Spark data architecture is a plus.</li>
<li>Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.</li>
</ul>
 #LI-MG1
<div>
#LI-HYBRID</div>
<div>
To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight:
<ul>
<li>Flexible remote and hybrid working options</li>
<li>Competitive Salary and a variable component tied to personal and company performance</li>
<li>Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth</li>
<li>Generous PTO and paid holidays</li>
<li>Mental health benefits</li>
<li>2 MAD Days per year (Make A Difference Days for paid volunteering)</li>
</ul>
Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in &quot;shift-technology.com&quot;. We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.</div></div>

Data Scientist / Engineer

SonderMind

<div><h2 class="jobSectionHeader">About SonderMind</h2>
At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram and Linkedin
Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.
<h2 class="jobSectionHeader">About the Role</h2>
At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.
To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
As a Staff Data Scientist at SonderMind you will be a leader in the technology organization (product, engineering and applied science), working on solving a diverse set of problems in the mental healthcare space. From helping clinicians grow and manage their practices, to personalizing self-care and matching appropriate providers with clients who are ready for clinical care, your primary role will be to drive success for all of these scenarios through the development of data-driven ML/AI services. As an integral part of the product and engineering team our data scientists deploy data products with immediate positive impact to our providers and clients.<h2 class="jobSectionHeader">
Essential Functions</h2><ul><li>
Deploy models and services to continuously improve client &amp; provider experiences on the platform</li><li>
Lead algorithm and architecture design decisions for new and ongoing ML initiatives</li><li>
Prototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platform</li><li>
Conduct code reviews and guidance on best practices</li><li>
Write, update, and deliver documentation on ML services and infrastructure</li><li>
Analyze existing data to identify areas of improvement or new ML initiatives</li><li>
Collaborate with engineering teams to integrate ML based functionality</li><li>
Design and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders 
 
</li></ul>Key Technologies:<ul><li>
Python: Pytorch, Pyspark</li><li>
REST API services</li><li>
Kubernetes and Docker</li><li>
SQL (PostgreSQL and Snowflake)</li><li>
NoSQL (DynamoDB, Elasticsearch)</li></ul><ul><li>
AWS Services: Sagemaker, Athena, Glue, Feature Store</li><li>
Git/Gitlab</li><li>
LaunchDarkly</li></ul><h2 class="jobSectionHeader">
What does success look like?
</h2><ul><li>Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journey</li><li>
Independently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare quality</li><li>
Deliver production-ready services and demonstrate leadership in problem-solving technical challenges</li><li>
Partner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering org</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Ph.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.</li><li>
5+ years of preparing and deploying ML data products</li><li>
Prior experience at early- to mid-stage growth companies is preferred</li><li>
Experience in the health-tech and/or mental health space is a strong bonus</li><li>
Strong statistics and experimental design background</li><li>
Proficiency with Python programming language</li><li>
Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering</li><li>
Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization</li><li>
Experience with generative models and artificial intelligence</li></ul><h2 class="jobSectionHeader">
Our Benefits
</h2>The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for equity.
As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people&rsquo;s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.
Our benefits include:<ul><li>
A generous PTO policy, with a minimum of three weeks off per year</li><li>
A holiday schedule that follows standard U.S. holidays</li><li>
Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)</li><li>
Competitive Medical, Dental, and Vision coverage, with plans to meet every need &mdash; including HSA (with $1,100 company contribution) and FSA options</li><li>
Employer-paid short-term disability, long-term disability, life &amp; AD&amp;D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)</li><li>
Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8&ndash;16 weeks of paid leave</li><li>
401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested</li><li>
Join teammates from across the country at our annual company gathering</li><li>
Company shutdown between Christmas and New Year&rsquo;s</li><li>
Supplemental life insurance, pet insurance, commuter benefits, and more</li></ul><h2 class="jobSectionHeader">
Application Deadline</h2>
This position will be an ongoing recruitment process and will be open until filled.<h2 class="jobSectionHeader">
Equal Opportunity
</h2>SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.</div>

Senior Staff Data Scientist

American Family Insurance

<div>We&rsquo;re seeking a senior predictive modeler to join our Property &amp; Casualty Actuarial team to develop scalable analytics and predictive modeling solutions that drive business decisions. In this role, you&rsquo;ll explore and synthesize large, complex datasets; frame hypotheses and research approaches; and build, deploy, and monitor statistical and machine learning models (GLM/GBM preferred) that support pricing, reserving, and other actuarial objectives. You&rsquo;ll combine strong business acumen with advanced quantitative methods and modern software engineering practices&mdash;especially Python-based development, testing, and source control&mdash;to deliver reliable, production-ready solutions and actionable insights
Position Compensation Range:
$113,000.00 - $194,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Responsibilities:<ul><li>Uses actuarial and technical knowledge to manage complex projects as assigned in such areas as product development and pricing.</li><li>Creates business application and modeling framework, for new datasets, and discovers insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.</li><li>Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.</li><li>Builds the hypothesis, identify research data attributes and determine best approach to address business issues.</li><li>Combines business/actuarial acumen with mathematical capabilities to build complex predictive models to support business objectives.</li><li>Builds complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.</li><li>Incorporates findings and provides industry and competitor insights as part of model development and enhancement.</li><li>Researches and maintains awareness of industry best practices and business strategies.</li><li>Brings new and innovative ideas and approaches to develop business solutions.</li><li>Maintains standard documentation on assigned projects/tasks.</li><li>Consults with other departments by answering inquiries and providing explanations of an business/actuarial nature.</li><li>May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.</li></ul> 
Requirements:<ul><li>Deployed and monitored predictive models in production (preference for GLM/GBM), partnering with actuarial and engineering teams to ensure scalable, governed, and repeatable pricing/reserving workflows.</li><li>Advanced programming proficiency with a strong preference for Python; build robust, tested analytics pipelines and model code for end-to-end actuarial use cases (data prep, modeling, validation, and automation).</li><li>Preferred experience in designing and deploying AI/ML solutions to solve business problems, demonstrating a pragmatic approach to solution-selection and an understanding of when a non-AI approach is optimal.</li><li>Demonstrated experience providing customer-driven solutions, support or service.</li><li>Ability to work as part of a team and to communicate effectively.</li><li>Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.</li><li>Understanding of software development best practices including source control, coding standards and testing frameworks.</li><li>Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.</li><li>Demonstrated experience working with large, complex datasets using big data technologies and script.</li><li>Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools.</li></ul><h3 class="jobSectionHeader">
Additional Information</h3><ul><li>
Offer to selected candidate will be made contingent on the results of applicable background checks</li><li>
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</li><li>
Sponsorship will not be considered for this position unless specified in the posting</li></ul><div>
Licenses: 
<ul><li>Not Applicable.</li></ul> 
Travel Requirements 
<ul><li>Up to 10%.</li></ul> 
Physical Requirements 
<ul><li>Work that primarily involves sitting/standing.</li></ul> 
Working Conditions 
<ul><li>Not Applicable.</li></ul></div>
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
#LI-TB1</div>

Senior Actuarial Data Scientist (Hybrid)

Vertex Pharmaceuticals

<div>Job Description
General Summary:
The Clinical Scientist Principal will provide scientific, clinical, and operational input to early and late stage clinical development programs with an emphasis on protocol-specific, in-life clinical data monitoring activities. This role will work on cross-functional study teams on design, execution, and monitoring of clinical trials, as well as data interpretation and communication. This role will also serve as a point of contact for investigators in day-to-day clinical study needs.
Key Duties and Responsibilities:
<ul><li>Works with cross-functional team with oversight by the Medical Lead to conduct clinical studies, including clinical and safety data review, site interface on clinical study content, preparation of meeting materials, communication plans (e.g., administrative letters, protocol amendments, protocol deviations), safety and medical monitoring, preparation of status update reports, and study close-out activities.
</li><li>Conducts medical monitoring reports, safety reviews, site interactions, and reviewing TFLs.
</li><li>Responsible for analytical support of clinical trial data (safety and efficacy), including gathering, analyzing, reviewing, interpreting, and providing preliminary assessments and recommendations to Medical Lead.
</li><li>Analyzes and synthesizes information to assess issues relating to protocol conduct and/or individual subject safety.
</li><li>Provides clinical operational support for Data Monitoring Committees including operationalizing the charter, preparing updates and blinded data reviews, execution of meetings and adjudications, and communication of synthesized data reports.
</li><li>Develops protocols, clinical study reports, IBs, ICFs, training documents, and other clinical and regulatory documents with minimal direction from the Medical Lead.
</li><li>Collaborates with internal and external stakeholders (study sites, vendors, committees, etc.) in support of clinical trial objectives; responds to or triages questions for appropriate escalations.
</li><li>Represents Vertex to outside personnel in the development of clinical protocols and study conduct
</li><li>Contributes to the organization, preparation, and execution of investigator and advisory board meetings in collaboration with the project team and external vendors.
</li><li>Leads literature reviews as needed.
</li><li>Prepares scientific material for conference presentations or publications.
</li></ul>Knowledge and Skills:
<ul><li>In-depth knowledge in analysis and interpretation of clinical data (safety and efficacy); proficient knowledge of biostatistics, GCP, and regulatory requirements for clinical studies.
</li><li>Ability to make independent, timely and appropriate decisions.
</li><li>Strong oral and written communication skills to explain difficult information and solid computer/analytical skills.
</li><li>Ability to work collaboratively in a fast-paced, team-based matrix environment and to function independently as appropriate.
</li><li>High level of organizational and project management skills.
</li><li>Flexibility to accommodate changes in team and project needs.
</li><li>Ability to handle multiple projects at a time and have a strong attention to detail while understanding the higher-level strategy.
</li></ul>Education and Experience:
<ul><li>Bachelor's degree in the Life sciences
</li><li>Typically requires 6 years of experience in clinical or pre-clinical research in the pharmaceutical industry or healthcare setting, or the equivalent combination of education and experience.
</li></ul>Pay Range:
$138,100 - $207,100
Disclosure Statement:
<div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div>Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
 
1. Remote : work remotely five days per week and come into the office on occasion &ndash; you&rsquo;re always welcome on-site; or select
 
2. Hybrid : work remotely up to two days per week; or select
 
3. On-Site : work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex&rsquo;s Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Clinical Scientist Principal

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

The Brattle Group, Inc.

<div><div>The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.

On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.

Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team&rsquo;s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.

The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle&rsquo;s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows. 


Some of the day-to-day responsibilities of this role include:
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team&rsquo;s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul> 


THE CANDIDATE
<ul>
<li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul> 


Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training. 


This position is not eligible for immigration sponsorship. 


EQUAL OPPORTUNITY

The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law. 


We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</div><div> 
THE EMPLOYER

The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</div></div>

Senior Data Engineer (Applied ML / Analytics) New

THE BRATTLE GROUP

<div>The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.

On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.

Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team's analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.

The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle's existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows. 


Some of the day-to-day responsibilities of this role include:
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team's capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul> 


THE CANDIDATE
<ul>
<li>Bachelor's Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul> 


Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training. 


This position is not eligible for immigration sponsorship. 


EQUAL OPPORTUNITY

The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law. 


We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.<div> 
THE EMPLOYER

The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</div></div>

Senior Data Engineer (Applied ML / Analytics)

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