What Data Scientist Jobs are in Boston?

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
MITRE's Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems.
Roles & Responsibilities:
The successful candidate for this position is a hybrid Data Scientist and Data Engineer who combines strong foundations in computer science, mathematics, and software engineering with hands-on experience designing data systems and applying advanced analytics, machine learning, and AI techniques to solve mission problems. This role requires practitioners who can operate across the full data lifecycle from data modeling, processing, and infrastructure engineering to statistical analysis, machine learning, experimentation, and operational deployment. Our organization values innovation and believes that keeping up with the latest research and technologies is essential.
The candidate should have hands-on experience in several of the areas specified below, however it is not required that a candidate has experience in all of these areas.
Advanced Data Analytics and Artificial Intelligence
+ Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement learning)
+ Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization)
+ Large Language Models and AI-Assisted Workflows
+ Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling)
+ Anomaly Detection and Predictive Modeling
+ Graph Analytics (e.g. centrality, similarity, link prediction)
Data Engineering
+ Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka)
+ Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi)
+ Batch and Streaming Data Processing
+ Data Modeling, Schema Design, and Data Quality Assessment
+ Data Governance, Access Controls, and Secure Data Handling
+ Cloud-based Data Platforms and Storage Architectures
Software Development and MLOps
+ Computer Programming and Databases - Proficiency in Python and SQL required
+ Software Engineering Best Practices (e.g., version control, testing, modular design)
+ MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization)
+ Linux-based Development Environments, Git, Containers, and Cloud Platforms
Expectations for this position are as follows:
+ Leads functional teams or complex projects with moderate resource requirements, risks, or complexities; Develops strategies and objectives and leads others to execute them.
+ Works independently, with guidance needed only in highly complex situations.
+ Identifies and leads others to solve complex problems; Uses sophisticated analytical thought to exercise judgement and identify innovative applications; May develop and recommend solutions to novel or atypical problems within the Data Science and Data Engineering disciplines.
+ Applies extensive in-depth conceptual, practical, and technical knowledge within the Data Science and Data Engineering disciplines and transfers that knowledge to others.
+ Communicates complex concepts clearly and simply and persuades others to adopt a different point of view.
Basic Qualifications:
+ Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 8 years of relevant experience.
+ Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep learning, reinforcement learning), anomaly detection, statistical analysis, and/or analysis of very large datasets.
+ Computer programming skills (e.g., Python, R, C/C++, Java, Scala, Julia, Rust, MATLAB).
+ The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire.
+ Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 6 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience.
+ Active DoD Top Secret Clearance.
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Salary compensation range and midpoint:
$155,200 - $194,000 - $232,800 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © , The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
MITRE's Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems.
Roles & Responsibilities:
The successful candidate for this position is a hybrid Data Scientist and Data Engineer who combines strong foundations in computer science, mathematics, and software engineering with hands-on experience designing data systems and applying advanced analytics, machine learning, and AI techniques to solve mission problems. This role requires practitioners who can operate across the full data lifecycle from data modeling, processing, and infrastructure engineering to statistical analysis, machine learning, experimentation, and operational deployment. Our organization values innovation and believes that keeping up with the latest research and technologies is essential.
The candidate should have hands-on experience in several of the areas specified below, however it is not required that a candidate has experience in all of these areas.
Advanced Data Analytics and Artificial Intelligence
+ Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement learning)
+ Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization)
+ Large Language Models and AI-Assisted Workflows
+ Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling)
+ Anomaly Detection and Predictive Modeling
+ Graph Analytics (e.g. centrality, similarity, link prediction)
Data Engineering
+ Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka)
+ Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi)
+ Batch and Streaming Data Processing
+ Data Modeling, Schema Design, and Data Quality Assessment
+ Data Governance, Access Controls, and Secure Data Handling
+ Cloud-based Data Platforms and Storage Architectures
Software Development and MLOps
+ Computer Programming and Databases - Proficiency in Python and SQL required
+ Software Engineering Best Practices (e.g., version control, testing, modular design)
+ MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization)
+ Linux-based Development Environments, Git, Containers, and Cloud Platforms
Expectations for this position are as follows:
+ Rapidly prototypes and evaluates Data Science, Data Engineering, and AI/ML approaches to assess feasibility and support project needs.
+ Leads simple projects or has accountability for tasks on a complex project; plans and guides the work of others.
+ When in a contributor role, works independently and requires minimal instruction, guidance, and direction.
+ Identifies and solves complex problems; takes new perspectives on existing solutions; exercises judgment within the Data Science and Data Engineering disciplines.
+ Leverages advanced knowledge of Data Science and Data Engineering and shares that knowledge with others.
+ Communicates complex results, both in writing and verbally, to technical and non-technical audiences.
Basic Qualifications:
+ Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 5 years of relevant experience.
+ Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep learning, reinforcement learning), anomaly detection, statistical analysis, and/or analysis of very large datasets.
+ Computer programming skills (e.g., Python, R, C/C++, Java, Scala, Julia, Rust, MATLAB).
+ The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire.
+ Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field.
+ Active DoD Top Secret Clearance.
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Salary compensation range and midpoint:
$124,400 - $155,500 - $186,600 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © , The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
Department Summary:
The System Engineering Analytics Department is seeking a motivated, creative Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. This position offers the opportunity to combine Systems Engineering with Data Analytics to build end to end data analytic pipelines. You will have the opportunity to learn from seasoned data professionals in a fast paced and dynamic atmosphere. You will have the opportunity to make strategic differences and have real long-term impacts on some of the most challenging problems in the government space.
Roles & Responsibilities:
The successful candidate will:
+ Be passionate about applying data analytics to real world problems.
+ Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.
+ Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses.
+ Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn.
+ Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise.
Basic Qualifications:
+ Typically requires less than 1 year of related experience with a related Bachelor's degree, or equivalent combination of related education and work experience
+ Must be a U.S. citizen with ability to obtain and maintain a DoD clearance
+ Demonstrated ability to manipulate large datasets
+ Experience with analytic tools such as Python, SAS, MATLAB, JavaScript, R, Java
+ Data Visualization tools such as Tableau, QuickSight, PowerBI, etc.
+ Ability to formulate complex algorithms and process to solve complex data problems
+ Proficiency in use of Microsoft Office including Outlook, Excel, and Word
+ Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Candidates that possess a current/active US Government clearance are preferred
+ Academic/ project experience working with databases (e.g., Oracle, PostgreSQL, MySQL, SQL Server, MongoDB)
+ Software Development experience in a shared environment leveraging tools such as GIT
+ Experience with full-stack development (e.g. HTML, JS, HTML, NodeJS, SQL, Python, etc.)
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Salary compensation range and midpoint:
$80,000 - $100,000 - $120,000 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © , The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Description
Job Summary:
CFG is a leading financial institution dedicated to providing innovative solutions to manage financial risks and optimize asset and liability portfolios. The Central Model Development team within the Asset Liability Management group is responsible for developing and maintaining models that support strategic decision-making.
This role develops, implements, and maintains ALM and CCAR/PPNR models. The position also provides guidance to functional leaders on model impacts and partners with Model Risk Management, Market Risk, and Internal Audit to support model governance and regulatory requirements.
Key Responsibilities:
+ Develop and maintain models supporting balance sheet forecasting for the Asset Liability Management group
+ Build customer behavior models for attrition, origination, and prepayment across deposit and loan products
+ Develop predictive models for market rates and macroeconomic variables related to ALM and CCAR
+ Partner with data science teams under leadership guidance to deliver model solutions
+ Create and maintain model documentation to support validation and governance processes
+ Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews
+ Monitor model performance and recommend enhancements including overlays, recalibration, or redevelopment
+ Perform sensitivity testing, back testing, and fundamental driver analysis
+ Demonstrate understanding of related models including interest rate and term structure models
+ Propose improvements to loan and deposit modeling and challenge existing assumptions
+ Support development of forward-looking macroeconomic and interest rate views in partnership with Treasury
+ Provide analytical support for balance sheet and liquidity strategy decisions
+ Support initiatives including Balance Sheet Optimization, Funds Transfer Pricing, Mortgage Servicing Rights, CCAR, and DFAST
+ Prepare materials for Asset Liability Committee and senior management
Required Qualifications:
+ Experience applying statistical analysis in Treasury modeling, risk management, forecasting, or pricing within a bank or consulting firm
+ Proficiency in Python, R, or similar analytical programming languages
+ Strong analytical and quantitative modeling skills
+ Experience developing and maintaining financial or risk models
+ Strong communication skills with the ability to translate complex analysis into business insights
Preferred Qualifications:
+ Experience with prepayment models such as BlackRock, Black Knight, QRM, or ADCO
+ Experience with deposit models such as QRM or Novantas
+ Exposure to balance sheet management systems such as QRM, BancWare, or Empyrean
+ Familiarity with financial and economic data sources such as FRED, Bloomberg, or Economy.com
+ Progress toward Chartered Financial Analyst designation
Education:
+ Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related STEM field preferred
Pay Transparency
The salary range for this position is $124,000 - $165,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit .
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
07/31/2026

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'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 - helping to simplify health care one person, one family and one community at a time.
**Position Summary**
At CVS/Aetna, we're pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, you'll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions.
Utilization Management (UM) ensures consistent delivery of the right care, in the right setting, by the right people. The UM Data Science team leverage data, analytics and AI solutions to transform UM operations and optimize provider and member experience.
+ Collaborates with business partners to shape the analytics approach to address business priorities (through predictive modeling, statistical analysis, or metric evaluation) as a thought leader
+ Owns and manages an analytics workstream, leading other analysts and data scientists to build end to end analytical products.
+ Uses strong knowledge in algorithms and predictive models to propose approaches, investigate problems, detect patterns and recommend solutions
+ Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
+ Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
+ Use strong programming skills to explore, examine and interpret large volumes of data in various forms
**Required Qualifications**
+ 3+ years of relevant analytic experience
+ Experience programming using R or Python
+ Experience in SQL
**Preferred Qualifications**
+ Demonstrates strong ability to communicate technical concepts and implications to business partners
+ Anticipates and prevents problems and roadblocks before they occur
+ Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
+ Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
+ Hand on experience with LLMs and Generative AI
**Education**
+ Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
+ Master's degree or PhD preferred
**Pay Range**
The typical pay range for this role is:
$101,970.00 - $222,480.00
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. This position also includes an award target in the company's equity award program.
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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments ( .
We anticipate the application window for this opening will close on: 08/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran - committed to diversity in the workplace.

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'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 - helping to simplify health care one person, one family and one community at a time.
**Position Summary** We're hiring a Senior Data Scientist to lead a workstream within the Unified Measurement Engine (UME) team - owning end-to-end delivery as a senior individual contributor, setting technical direction, and mentoring peers. UME is building an industry-leading measurement stack that integrates Marketing Mix Modeling (MMM), incrementality testing, and agile attribution to quantify the impact of marketing across owned, paid, and earned channels at enterprise scale.
**What You'll Do** You'll own multiple concurrent projects across measurement methodology, large-scale experimentation, and analytics product delivery - framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders (Lead Director, Executive Director, AVP, and VP+). You'll run experiments touching 90M+ customers and hundreds of millions in media spend, co-build alongside an industry-leading measurement agency and vendor partners, and translate measurement insights into business strategy through regular recommendation sessions with VP-and-above audiences. You'll set technical direction for your workstream, mentor junior data scientists, and tackle open research problems alongside a team of statisticians and builders - universal control design for owned media, brand impact measurement for paid media, media mix saturation ("how high is high"), cross-channel measurement integration across digital and physical experiences, and meta-learnings across studies.
**What You'll Bring**
+ 3+ years of data science experience, with at least 2 years in marketing measurement, causal inference, or large-scale experimentation
+ Track record of analytical work that changed business decisions - not just answered questions
+ Production-grade Python and advanced SQL; proficiency with PySpark, Databricks, Snowflake, or equivalent distributed computing platforms
+ Strong fundamentals in causal inference, experiment design, time-series modeling, and Bayesian methods - with the judgment to pick the right tool for each problem
+ Hands-on experience with at least one of: MMM, incrementality testing, multi-touch attribution, or geo-experimentation
+ Familiarity with the model lifecycle: training, validation, deployment, monitoring, and drift detection
+ Ability to explain a model's assumptions and limits to a non-technical executive in three sentences
+ Experience leading workstreams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)
**Preferred Qualifications**
+ Experience of leading advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges.
+ Experience as a technical lead or squad lead on a measurement, marketing science, or experimentation team
+ Familiarity with performance and brand marketing metrics (ROAS, iROAS, lift, reach/frequency, brand equity)
+ Experience working with measurement vendors or co-building with external agencies
+ Exposure to owned, paid and earned marketing data ecosystems (CRM, ad platforms etc.)
+ Experience shipping analytical results into actionable recommendations to stakeholders
**Education**
+ Master's or PhD in Statistics, Economics, Computer Science, Marketing Science, Operations Research, or related field strongly preferred.
**Anticipated Weekly Hours**
40
**Time Type**
Full time
**Pay Range**
The typical pay range for this role is:
$111,240.00 - $222,480.00
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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments ( .
We anticipate the application window for this opening will close on: 08/23/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran - committed to diversity in the workplace.

Overview

The Boston Region Metropolitan Planning Organization (MPO) seeks a Data Scientist-Model Developer to research, design, implement, adapt, and maintain models of travel behavior and transportation systems in various platforms. The Data Scientist–Model Developer will join a team at the forefront of advancing the state of the practice in transportation modeling, designing, building, and maintaining critical tools that support transportation planning across the Boston Region and Massachusetts. In this role, you will have the opportunity to apply innovative modeling techniques, including exploratory modeling, to address complex transportation challenges and inform key decisions. If you are driven to produce quality work, passionate about the power of models, and committed to ensuring stakeholders understand and utilize these tools effectively, we encourage you to apply.

Responsibilities

• Develop, update, and refine model input data in spatial data formats.
• Contribute as a key team member on the development and maintenance of custom software applications to support transportation modeling.
• Perform research and participate in the development of modeling features related to emerging transportation technologies, transformative modes, and shared mobilities.
• Ensure that transportation modeling tools and analytical capabilities are credible and effective for policy analysis; participate in quality assurance and quality control processes.
• Work collaboratively to advance the state of the practice for transportation tools at the agency.
• Work from functional specifications and requirements produced by transportation modelers and translate those into efficient, flexible scripts with error handling, testability, and user-centered features.

Qualifications

While the following sections describe required and desirable qualifications, candidates who believe that their particular experience and skills fulfill the requirements are encouraged to apply.

Required

• A desire to help build an equitable, sustainable, and resilient transportation system for the Boston region
• Advanced degree in transportation modeling, computer science, data analytics, data science, statistics, mathematics, engineering or related field, and 1-3 years of experience using the required skills or comparable skills
• Excellent ability to think logically and algorithmically in clear, cogent software design and well-documented code using Python, GitHub, and is familiar with AI supported programming approaches.
• Experience conducting statistical analysis of datasets, extracting useful information, and fitting mathematical models to describe the data to be programmed into a larger process
• Experience using data management, procedure development, and data visualization in either R or Python (preferably both)
• Effective work prioritization, time management, and collaboration skills
• Facility with version-control software like GitHub and methods
• Excellent problem solving and analytical skills
• Effective written and verbal communication skills

Preferred

• A passion to learn new analytical skills and share knowledge with the team
• Experience using travel demand modeling software, such as TransCAD, to support large, complex model development and applications projects
• Strong understanding of econometric and demand models, use and purpose of market segmentation, and interpreting model estimators in the context of behavioral theory
• Experience building and maintaining code environments for development and production

Compensation And Benefits

This is a full-time position and the starting salary range is $74,000 - $88,000 annually, contingent upon qualifications and experience. The agency offers excellent Massachusetts state employee benefits; a flexible, supportive work environment; and a commitment to ongoing professional development.

The Boston Region MPO reserves the right to fill more than one position through this recruitment should organizational needs and available resources support doing so.

The information below is a general overview of the benefit programs offered by Boston Region MPO. The benefits package is subject to change.

• 75% employer paid medical insurance premium
• Low cost basic and optional life insurance
• Retirement Savings plans: Defined Benefit Pension plan through Mass. State Employees Retirement Board System (MSERB) and a Deferred Compensation 457(b) plan
• Reasonable dental and vision plans
• Paid vacation time starting at 15 days per year (based on hire date)
• Paid sick time - 15 days per year
• 13 paid holidays
• Up to 5 paid discretionary days per year (pro rated based on start date)
• Up to 40 paid days for FMLA qualifying events, including parental leave
• Flexible Spending Accounts for health care and dependent care
• Transit commuter subsidy up to $225
• Discounted Blue Bikes membership
• Tuition assistance
• Qualified Employer for Public Service Student Loan Forgiveness Program (PSLF)
• Professional development
• Professional membership dues assistance
• Short-term Disability coverage
• Optional Long-Term Disability coverage
• Mass4You Wellness Programs and Employee Assistance Program

Boston Region MPO/MAPC is an Equal Opportunity Employer

Employer
Boston Region MPO

Address
10 Park Plaza Suite 2150 Boston, Massachusetts, 02116

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Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. ( , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji ( , Saturn, and other digital services.

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go‑to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We’re looking for a Data Scientist to join Snap Inc.

What you’ll do:

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
• Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'
• Collaborate with product managers, engineers, product marketers, and designers
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Knowledge, Skills and Abilities:

• Expertise using data modeling skills to identify key product trends and new product opportunities
• Ability to design implement, and track core metrics to analyze the performance of our products
• Ability to create visuals, dashboards, and reports to effectively communicate your insights
• Ability to collaborate with engineers, product managers, and other cross-functional teams
• Ability to initiate and drive projects to completion with minimal guidance
• An understanding of Snapchat with great product sense and product understanding
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices

Minimum Qualifications:

• Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
• 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Preferred Qualifications:

• 3+ years of Experience using SQL or similar big data querying languages
• 3+ years of Experience with programming language, such as Python or R
• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
• Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information ( .

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits ( : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) ( :

The base salary range for this position is $157,000-$235,000 annually.

Zone B ( :

The base salary range for this position is $149,000-$223,000 annually.

Zone C ( :

The base salary range for this position is $133,000-$200,000 annually.

This position is eligible for equity in the form of RSUs.

Curious what it's like to work at Snap? Meet the people behind our products and discover how our values shape the way we create, innovate, and connect.

SPECS ( : See how Snap is bringing computing into the world around us with SPECS, our next‑generation augmented reality glasses built for real life.

Snap News ( : Explore the latest stories about our products, innovation, and the people shaping what's next at Snap.

Applicant and Candidate Privacy Policy (

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Location(s)

Alpharetta, Georgia, Austin, Texas, Birmingham, Alabama, Boston, Massachusetts, CORP-Randolph-Chicago-IL, Dallas, Texas

Details

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates will work hybrid out of a local Kemper location.

Position Responsibilities

• Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims quality management.
• Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs.
• Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.
• Monitor deployed solutions and elevate as needed.

Position Qualifications

• Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.).
• Proficiency and experience with several modeling techniques such as generalized linear models, decisiontrees,ensemblelearning,regularizedmodels(ridge/lasso/nets),clustering,andneural networks.
• Prior experience working with AWS is a plus.
• Some experience with natural language processing is preferred.
• Some experience working with LLMs via API is preferred but not required.
• Ability to work with various data formats. This includes relational databases, delimited text files, data frames, and JSONs.
• Excellent overall communication skills, especially the ability to translate technical results for non-technical audiences.
• Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc.
• 2+ years’ experience in a data science/ predictive analytics environment preferred.
• Self-directed and able to work with little supervision
• Sponsorship is not accepted for this opportunity
• The range for this position is $93,500 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)
• This is a hybrid role and can be worked out of a local Kemper corporate location

Kemper at a Glance

The Kemper family of companies is one of the nation’s leading specialized insurers. With approximately $12 billion in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Kemper Auto and Kemper Life brands. Kemper serves over 4.6 million policies, is represented by approximately 24,200 agents and brokers, and has approximately 7,500 associates dedicated to meeting the ever-changing needs of its customers.

Alliance United Insurance Company is not rated.

We value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V

Eligible employees may enjoy benefits such as:

• Qualify for your choice of health and dental plans within your first month.
• Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.
• Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.
• Contribute to your community through United Way and volunteer programs.
• Balance your life with generous paid time off and business casual dress.
• Get employee discounts for shopping, dining and travel through Kemper Perks.

Benefits eligibility may vary based on position classification, scheduled hours, work location, temporary or contingent status, independent contractor status, SkillBridge participation, and applicable plan terms.

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

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