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Data Science Contract Jobs in Massachusetts (NOW HIRING)

Ora

Sr. Site Contract and Payment Associate

Andover, MA · On-site

Scientific Rigor At Ora, we are building the future of ophthalmic clinical research. As the world ... Ora's pre-clinical and clinical models, unique methodologies, integrated clinical data solutions ...

Trinity Life Sciences

Contracts, Specialist

Waltham, MA · On-site

$84K - $126K/yr

... life sciences industry, including but not limited to contracts, compliance, acquisitions, data processing and intellectual property. This role requires a deep understanding of the legal and ...

Wit

Assistant Professor, Applied Mathematics

Boston, MA · On-site

$89K - $106K/yr

About Wentworth and the School of Computing and Data Science: Wentworth is a university of ... The faculty contracts are for two semesters (fall and spring) with optional summer teaching, which ...

Trinity Life Sciences

Contracts, Specialist

Waltham, MA · On-site

$84K - $126K/yr

... life sciences industry, including but not limited to contracts, compliance, acquisitions, data processing and intellectual property. This role requires a deep understanding of the legal and ...

CarGurus

Sales Engineer, Data Solutions

Boston, MA · On-site

$124K - $149K/yr

... contract. This is an early-stage, build-from-scratch role: we are still proving out demand ... data science and quant teams. * Consultative selling skills: ability to uncover a customer ...

Varsity Tutors

ACT Science Tutor

Lynn, MA · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

ACT Science Tutor

Somerville, MA · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsData Science Contract JobsData Science Contract Jobs in Massachusetts

Data Science Contract information

See Massachusetts salary details

$25.2K

$118.9K

$219.9K

How much do data science contract jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science contract in Massachusetts is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,611.00 and $166,816.00 per year, depending on experience, location, and employer.

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

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

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Massachusetts?

The most popular types of Data Science jobs in Massachusetts are:

What are popular job titles related to Data Science Contract jobs in Massachusetts?

For Data Science Contract jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Contract jobs in Massachusetts look for?

The top searched job categories for Data Science Contract jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Contract jobs?

Cities in Massachusetts with the most Data Science Contract job openings:

Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Principal Pricing Data Engineer

Waters Corporation

Milford, MA • On-site

$125K - $150K/yr

Other

Re-posted 17 days ago

Job description

Overview
Transformation at Waters Corporation is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business. As part of our vision for the Enterprise of the Future, we are building the data foundation required for advanced technologies such as artificial intelligence, while actively developing Agentic AI capabilities to accelerate data-driven automation across the enterprise. This work enables smarter decision making, scalable automation, and faster realization of business value. This is a unique opportunity to join a team at the center of Waters' transformation, working on high-impact initiatives that shape the future of the enterprise.
As a Principal Pricing Data Engineer, you will be a senior technical contributor and domain expert who partners closely with other members of the Pricing Excellence team, as well as colleagues across each Division. You will bring deep technical expertise and own technical solutions for the pricing domain, operating with a high degree of independence. You will design, build, and enhance robust data pipelines, platforms, and automation that specifically enable pricing strategy, analytics, and execution. This includes supporting advanced pricing capabilities such as price waterfall analysis, discount optimization, segmentation, and margin expansion.
This role remains hands-on but with elevated responsibility for data architecture, pricing data models, and cross-functional alignment. You will serve as a key problem solver for complex pricing data challenges and a trusted partner to both technical and business stakeholders, ensuring pricing data is accurate, accessible, and actionable across the enterprise.
**This role is hybrid and the office is located in Milford, MA. This is NOT a remote position.**
Responsibilities
Pricing Data Engineering & Architecture
  • Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:
    • Transactional sales data (orders, invoices, contracts)
    • Price lists, discounts, rebates, and surcharges
    • Cost, margin, and profitability data
  • Develop and maintain pricing-specific data models, including:
    • Price waterfall
    • Customer and product segmentation hierarchies
    • Realized price and margin analytics
  • Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.
  • Establish scalable frameworks to support global pricing governance and standardization across divisions and regions.

Advanced Data Engineering & Platform Development
  • Contribute to and influence data platform design for analytics, machine learning, and Agentic AI workloads, with a focus on pricing use cases.
  • Build high-performance data pipelines capable of supporting:
    • Large-scale transactional datasets
    • Near real-time pricing insights and monitoring
  • Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.
  • Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Pricing Analytics & Decision Enablement
  • Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.
  • Enable advanced pricing analytics, including:
    • Price realization and leakage analysis
    • Discount and rebate effectiveness
    • Customer/product elasticity modeling (in collaboration with data science)
  • Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.
  • Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Software Engineering Excellence
  • Develop production-grade Python code using strong OOP and functional programming practices.
  • Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.
  • Participate actively in code reviews, automated testing, and source control workflows.

Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
  • Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.
  • Proven experience building and operating end-to-end data pipelines (ETL/ELT) in modern data environments.
  • Solid understanding of source control, collaborative development workflows, and production support.
  • Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).
  • Experience mentoring peers and contributing to technical best practices within a team environment.
  • Strong communication skills and the ability to work effectively with both technical and non-technical partners.
  • Demonstrated drive, curiosity, humility, and ability to learn.

Nice to Have / Plus Qualifications
  • Familiarity with process mining platforms such as Celonis, including working with event-based data and enabling transparency into end-to-end business processes.
  • Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.

Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

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