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Full Time Data Scientist Machine Learning Jobs in Boston, MA

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 artificial intelligence and/or machine learning methods to design, test and scale effective, reliable ...

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 artificial intelligence and/or machine learning methods to design, test and scale effective, reliable ...

The role involves conducting analyses to provide actionable business insights and informing statistical or machine learning approaches. Responsibilities : • build scalable, re-usable data science ...

The Data Scientist is accountable for delivering business value with data by focusing on key ... Practical experience in several of the following areas: machine learning, NLP, statistics ...

Data Scientist

Boston, MA · On-site

$120K/yr

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data ...

The Data Scientist is accountable for delivering business value with data by focusing on key ... Practical experience in several of the following areas: machine learning, NLP, statistics ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Showing results 21-40

Full Time Data Scientist Machine Learning information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do full time data scientist machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time data scientist machine learning in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Boston, MA? The most popular types of Data Scientist Machine Learning jobs in Boston, MA are:

Senior Scientist, Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA • On-site

$100K - $136K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


Job description

What if...you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? 

Flagship Labs 129 (FL129) is an early-stage biotechnology startup with an ambitious and exciting mission: to develop a technology to facilitate the data generation necessary for training the next generation of generative chemistry models to unlock the future of small molecule drug discovery. FL129 is developing a revolutionary approach to this challenge and is recruiting a team of top-tier scientists to build this powerful and first-in-category platform. This is a unique opportunity to be one of the first employees of a biotech startup that combines an innovative mindset with the resources and know-how of Flagship Pioneering. 

Position Summary: 

We are seeking a motivated and highly collaborative Senior Scientist to join FL129's growing team of experimental and computational scientists to build a novel platform technology. The successful candidate will have strong track record of scientific and technical innovation in machine learning for molecular modeling (proteins and/ small molecule ligands). Additional experience with computational docking methods is preferred. The ideal teammate will be highly adaptable, have strong organizational and communication skills, and will thrive in a highly collaborative and multidisciplinary environment. 

Key Responsibilities: 

  • Technology development, aligned with FL129's core strategic goals. This role is among the first hires, and we're looking for someone who thinks critically and will influence the company's scientific direction. 
  • Development, training, validation, and application of novel generative chemistry and molecular models 
  • Curate training and benchmark datasets, and design and implement rigorous benchmarks to assess model performance. 
  • Optimize existing workflows and establish best experimental and documentation practices to enable platform excellence. 
  • Close collaboration with wet lab scientific team to drive achievement of key project goals. 
  • Translate experimental data into meaningful insights and present results at team meetings. 

Preferred Qualifications: 

  • Ph.D. in machine learning, computational biology, or a similar field with 5+ years of industry or postdoctoral experience. 
  • Familiarity with SOTA models such as Boltz-2, ESM-2, Chai-2 and related. 
  • Experience training and fine-tuning molecular models for tasks such as: protein language modeling, protein structure prediction, binder prediction, protein design, protein engineering, small molecule pose prediction, and related. 
  • Experience curating publicly available datasets, including mutational scanning data. 
  • Expertise with a high-level programming language such as Python and modern HPC and cloud compute workflows. 
  • Nice to have: Deep structural understanding of proteins. 
  • Motivated team-player and independent force-of-nature with strong organizational and written/verbal communication skills. 

What we can offer you: 

  • Opportunity to lay the scientific foundation of a transformative platform company as an early employee. 
  • Custom-tailored role to maximize impactful contributions, professional growth, and scientific interests. 
  • Weekly lunches, monthly social events, and community lunchroom with free snacks, coffee, all embedded in a vibrant community of scientists and entrepreneurs across multiple Flagship Pioneering portfolio companies. 

We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort in working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidates. 

Flagship Pioneering and our ecosystem companies arecommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. 

The salary range for this role is $168,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL129 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL129's good faith estimate as of the date of publication and may be modified in the future.