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Amazon Data Science Jobs in Massachusetts (NOW HIRING)

Data Scientist

Boston, MA · On-site

$73.50 - $136.50/hr

Responsibilities * Assist with and execute data science projects, working with product, engineering ... Ideally, some experience with Spark, Amazon EMR, and/or Hive * Experience working with datasets in ...

New

Senior Data Scientist

Boston, MA · On-site

$78.70 - $138.20/hr

Contribute to ongoing expansion of data science expertise and credentials by keeping up with ... Amazon SageMaker etc. * Background in asset management or financial services. In‑Office ...

Data Scientist I

Boston, MA · On-site

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply ... Cloud-based data and analytics platforms, including Amazon Web Services tools such as SageMaker ...

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply ... Cloud-based data and analytics platforms, including Amazon Web Services tools such as SageMaker ...

AI/Data Scientist

Springfield, MA · On-site

$140 - $190/hr

... Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or DatabricksExperience with the Amazon AI product tool suite - Sage Maker studio, as ...

As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in ...

As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in ...

As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in ...

Showing results 21-40

Amazon Data Science information

See Massachusetts salary details

$50.2K

$180.2K

$265.9K

How much do amazon data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for amazon data science in Massachusetts is $180,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $185,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What are the most commonly searched types of Amazon Data Science jobs in Massachusetts? The most popular types of Amazon Data Science jobs in Massachusetts are:
Infographic showing various Amazon Data Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $180,220 per year, or $86.6 per hour.

Data Scientist

Socket.dev

Boston, MA • On-site

$73.50 - $136.50/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Company Description
Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers. Our end-to-end data collaboration platform Spherical empowers thousands of marketers, agencies, and media owners to onboard, access, analyze, and activate the data they need to understand and engage consumers. Our proven commitment to industry interoperability, connectivity, and privacy help drive successful business outcomes for companies on their terms. Lotame is headquartered in the United States and serves global clients in North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.
Responsibilities

  • Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and/or solutions to stakeholders
  • Design, develop, test, and refine the statistical algorithms used to power Lotame's business
  • Apply knowledge and training in data modeling, data mining and optimization to very large scale data sets, producing solutions to meet Lotame’s business needs;
  • Develop and help to productize scalable predictive models in the areas of performance optimization, behavioral profiling, audience segmentation, and identity resolution
  • Work alongside other members of the Lotame Data Science team to provide statistical algorithm development and support to a variety of products, including Lotame’s Optimizer and Cross Device
  • As a part of a hybrid working community, communicate clearly with team members about progress, blockers, and availability.

Qualifications

  • Bachelor’s Degree in Statistics, Mathematics, Engineering or a closely related field; Master’s Degree preferred; equivalent knowledge of statistical modeling, machine learning, etc accepted
  • Strong fundamental understanding of statistical modeling, machine learning, big data analytics, and algorithmic analysis. Ability to select approaches and algorithms to problems and articulate why those specific solutions are appropriate. This requires some experience and theoretical knowledge
  • Comprehension of algorithms in the following areas: Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms
  • Experience with and/or theoretical understanding of distributed computing frameworks, e.g. Hadoop, MapReduce, MPI. Ideally, some experience with Spark, Amazon EMR, and/or Hive
  • Experience working with datasets in a cloud (AWS, Azure, Google) environment, including tools such as EMR, S3, and Athena, while not required, will be beneficial

Additional Information
When You Join Us, We’ll Create Something EPIC Together
Lotame is a part of Epsilon, a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren’t just words. They’re how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
Benefits
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer.
Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas:
Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/19/2026.

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