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Contractual Computer Science Statistics Jobs in Cambridge, MA

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience. * Deep expertise in Python, data-centric ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 5+ years of experience in Data Science or Analysis

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience

Graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline; academic research experience may be considered equivalent to industry ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

Required : • Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related field. • Proficiency in AWS services such as Glue, S3, SageMaker, and Snowflake Data Lake with 5 ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work experience. * 2+ years of hands-on experience building and deploying machine learning models using a ...

Showing results 21-40

Contractual Computer Science Statistics information

See Cambridge, MA salary details

$45.4K

$155.7K

$219.7K

How much do contractual computer science statistics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for contractual computer science statistics in Cambridge, MA is $155,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,500.00 and $182,000.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, healthcare, marketing, finance

Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.

What are popular job titles related to Contractual Computer Science Statistics jobs in Cambridge, MA?

For Contractual Computer Science Statistics jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Contractual Computer Science Statistics jobs in Cambridge, MA look for?

The top searched job categories for Contractual Computer Science Statistics jobs in Cambridge, MA are:

Infographic showing various Contractual Computer Science Statistics job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 10% Part Time, 12% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $155,706 per year, or $74.9 per hour.

Director, Data Science

Fidelity Investments

Boston, MA • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 21 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services


Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
This is an individual contributor data science role. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
You will have:
  • PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience.
  • Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
  • Experience taking a model from research to production and realizing measurable value from it to the team or firm
  • Ability to work on and drive progress for multiple projects at the same time
  • Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
  • Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
  • Excellent planning, project management, leadership, and research skills
  • Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
  • Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
  • Experience or strong interest in quantitative finance and modeling financial markets

The Team
We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated LLM use cases into our pipeline, amongst other emerging technologies.
es.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Data Analytics and Insights

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