Data scientist jobs in Needham, MA and nearby (274 jobs)

Data scientist jobs within 25 miles of Needham, MA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 9, 2026

Hiring at a glance

View jobs

Open jobs: 274
Employers: 147

Advertised starting pay

Average starting payUSD / year: $141,838Across 47 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 11%30 listings
On-site: 9%26 listings

Not specified: 80% (218 listings)

Employers hiring include Roberts Recruiting (15), Capital One (14), Kelly Services (12).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Needham, MA and nearby

Within 25 miles

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Added 6 hours ago
(Senior) Machine Learning Scientist
Abiologics
Watertown, MA
Added 7 hours ago
Machine Learning Engineer
MORSE Corp
Cambridge, MA
Added 7 hours ago
LH
Contract Data Scientist (40 hrs/wk)
Layer Health
Boston, MA
- $40 to $70 USD / hour
Added 9 hours ago
(Senior) Machine Learning Scientist
Flagship Pioneering, Inc.
Watertown, MA
Added 11 hours ago
P
Staff Machine Learning Engineer
PathAI
Boston, MA
- $197,000 to $284,000 USD / year
Added 14 hours ago
Data Scientist
Harvard University
Cambridge, MA
Added 2 days ago
Data Scientist - Boston, MA
Kelly Services
Boston, MA
A leading insurance organization with a strong focus on data-driven decision making is seeking a Data Scientist, Insurance & Advanced Analytics to join its growing analytics team. This…
Added 3 days ago
I
Sr. Data Scientist
Immuta
Boston, MA
- $148,500 to $170,500 USD / year
Immuta is the Data Authorization Company, helping the world’s largest organizations control who, and what, can access their data.
Added 3 days ago
Senior Principal Data Scientist, Agentic AI
(2605) Sanofi Vaccines US Inc.
Waltham, MA
Job title: Senior Principal Data Scientist, Agentic AI
Added 4 days ago
Data Scientist
Definitive Healthcare, LLC
Framingham, MA
Data Scientist. FT, Framingham, MA. *** Duties may be performed at Definitive Healthcare headquarters in Framingham, MA or remotely from anywhere in the USA.*** Synthesize large amounts of…
Added 4 days ago
Machine Learning Engineer
Central Insurance Company
Waltham, MA
Added 4 days ago
Senior Machine Learning Engineer
DK Crown Holdings Inc.
Boston, MA
Added 4 days ago
BD
Senior Staff Audio Machine Learning Engineer
Boston Dynamics, Inc.
Waltham, MA
- $180,000 to $220,000 USD / year
Added 4 days ago
Big Data Developer (Black Lotus Labs)
Lumen
Boston, MA
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure,…
Added 4 days ago
Senior Data Scientist, Platform
Coinbase
Boston, MA
Added 4 days ago
Data Architect/ Data Analyst at MA
Reliable Software Resources Inc
Framingham, MA
Added 4 days ago
Senior Data Scientist (Machine Learning & Classification)
CS&S Staffing Solutions
Marlborough, MA
Our established consumer products company is looking for a Senior Data Scientist (Machine Learning & Classification)to add to their growing Research & Advanced Development team. You will…
Added 4 days ago
Data Scientist
CS&S Staffing Solutions
Cambridge, MA
Our established client is looking for a Data Scientist to join their Data/Analytics team. Please come with passion working on data parsing, analyzing, investigating, interpreting, modeling,…
Added 4 days ago
Machine Learning Engineer
Common Sense Machines, Inc.
Cambridge, MA
Added 4 days ago
Machine Learning Engineer
Common Sense Machines, Inc.
Cambridge, MA
Added 5 days ago
AI/Machine Learning Engineer, Neuro-AI
Cahira Technologies
Boston, MA
Added 5 days ago
Data Scientist Target Identification
(2605) Sanofi Vaccines US Inc.
Waltham, MA
Job title: Data Scientist Target Identification
Added 5 days ago
Z
Senior Data Scientist
Zoox
Boston, MA
- $225,000 to $307,000 USD / year
We are seeking a Senior Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous…
Added 6 days ago
Sr. Data Scientist
RUE GILT GROUPE
Boston, MA
Rue Gilt Groupe is hiring a Senior Data Scientist to build and ship the personalization systems behind Rue La La, Gilt, and ShopSimon. You will own products end to end, not just the models…
Added 6 days ago
IG
Senior Data Scientist
Insight Global
Boston, MA
- $120,000 to $150,000 USD / year
5+ years of experience working in Data Science, Applied AI, Machine Learning, or a related area, with exposure to Generative AI, LLM-based applications, or AI agents.

Capital One

Machine Learning Engineer 4 - Machine Learning Experiences (MLX)

San Jose, CA, United States
McLean, VA, United States
Cambridge, MA, United States
Richmond, VA, United States
San Francisco, CA, United States
NY, United States

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Job details

Posting language: English
Posted: Oct 23, 2026

Original job description

Machine Learning Engineer 4 - Machine Learning Experiences (MLX)

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

What You’ll Do:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
3+ years of experience optimizing ML algorithms, configurations, and infrastructure
3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.
3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored/co-authored a paper on a ML technique, model, or proof of concept

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer)

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Sales Territory: $179,400 - $204,700 for Machine Learning Engineer 4

Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4

McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4

New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4

Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4

San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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