ZipRecruiter

Log In

2

Full Time Data Scientist Machine Learning Jobs in Boston, MA

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

previous page

Showing results 41-60

All JobsData Scientist Machine Learning JobsFull Time Data Scientist Machine Learning JobsFull Time Data Scientist Machine Learning Jobs in Boston, MA

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:
Full Time Data Scientist Machine Learning jobs near you

Associate Director, Enterprise Data Science

Alkermes

Waltham, MA • On-site

$63K - $64K/yr

Full-time

Posted 11 days ago

Job description


Associate Director (Staff Data Scientist), Enterprise Data Science
Position Summary
As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities across the enterprise while acting as a technical expert, thought partner, and mentor within the team. You will take ownership of key AI and machine learning initiatives to deliver data science-driven solutions that align with enterprise goals.
This is a hands-on role where you will develop and implement cutting- edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices.
The ideal candidate will have a strong technical foundation in AI-driven Commercial Analytics within the pharmaceutical industry; inquisitive data science skills; clear and compelling communication skills; an exceptional sense of ownership and accountability; and demonstrated success delivering machine learning products that create business value.
This role is based in our Waltham location and would work a hybrid office schedule.
Responsibilities
Key Responsibilities
Support and Scale Data Science Use Cases
  • Develop and deploy complex analytical models and predictive insights to inform strategic decisions.

  • Implement data science solutions, including but not limited to predictive machine learning models, recommender systems, and agentic AI applications.

  • Lead development of commercial AI use cases including HCP targeting, customer suggestions, commercial opportunity identification, prescribing behavior prediction, and customer segmentation.

  • Scale proof-of-concept data science ideas and products into maintainable production software services; leverage best practices for production-ready code development and MLOps to build solutions that are stable, efficient, and scalable.

  • Partner with engineering teams to operationalize machine learning models and integrate outputs into business applications and digital workflows.

Stakeholder Engagement and Collaboration
  • Act as a key partner to cross-functional teams, providing technical and strategic guidance in the design, development, and implementation of AI-driven products and analytics solutions.

  • Serve as a trusted advisor to stakeholders by helping them understand INDIGO's capabilities and translate business challenges into high-impact data science opportunities.

  • Facilitate structured discovery and problem-framing sessions to identify opportunities where AI, machine learning, automation, and advanced analytics can drive measurable business value.

  • Collaborate closely with commercial business leaders and domain experts to ensure models and solutions reflect real-world business processes and market dynamics.

  • Influence decision-making through clear, actionable communication, synthesizing complex analytical results into insights that resonate with both technical and non-technical audiences.

  • Champion change management and user adoption, ensuring stakeholders understand, trust, and effectively integrate AI-driven recommendations into their workflows.

  • Build long-term partnerships with business owners, fostering ongoing collaboration, feedback loops, and continuous improvement for products and models in production.

Lead the Development of Data Science Capabilities
  • Design and build production-grade digital products, reusable frameworks, and scalable AI/ML platforms that drive commercial performance and establish consistent foundations for future AI applications.

  • Lead and manage high-impact data science initiatives across the organization, including scope, timelines, risks, and resource planning.

  • Drive the development of scalable machine learning capabilities that can support multiple brands and commercial use cases through reusable frameworks and automation.

  • Evangelize and contribute to scaled adoption of AI and machine learning capabilities across the organization.

  • Stay updated with advancements in data science, machine learning, and generative AI and evaluate emerging technologies for practical business application.

  • Track and communicate progress on data science initiatives while managing shifting priorities and business needs.

  • Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility.

Functional Ownership of Digital Products
  • Bring an end-to-end product lifecycle management mindset to INDIGO initiatives, with a clear focus on maximizing long-term business value.

  • Take ownership of Commercial AI and analytics products, ensuring reliability, scalability, business relevance, and ongoing stakeholder adoption.

  • Play a key role in shaping product and portfolio strategy by contributing expert judgment and nuanced thinking on the direction, growth, and integration of the products they own.

  • Mentor and develop the talent supporting their product portfolio, fostering a collaborative and continuously learning team environment.

Qualifications
Qualifications
Basic Qualifications
Education
  • Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Engineering, or a related quantitative field. Ph.D. preferred

Experience
  • 10+ years building and deploying advanced analytics, machine learning, and AI solutions that deliver measurable business impact.

  • Experience supporting Commercial Analytics use cases within pharmaceutical, biotechnology, or healthcare organizations strongly preferred.

  • Experience leading cross-functional AI and data science initiatives from problem framing through deployment and value realization.

  • Experience managing stakeholder relationships and influencing business decision-making at multiple organizational levels.

Technical Skills
  • Proficiency in production programming using Python and SQL.

  • Deep understanding of machine learning algorithms, statistical analysis techniques, predictive modeling methodologies, and end-to-end MLOps management.

  • Familiarity with cloud computing and ML platforms; AWS experience required and Snowflake experience preferred. Prior experience with use of AI tools in code development and management workflows is a plus.

  • Experience with data engineering, feature engineering, data governance, and scalable machine learning pipelines (dbt experience preferred).

  • Experience working with commercial data assets such as CRM, prescribing, claims, specialty pharmacy, patient services, or engagement data preferred.

Core Competencies
  • Proven ability to design and implement end-to-end AI and machine learning solutions from business problem definition through value realization.

  • Strong business acumen with the ability to connect technical solutions to commercial outcomes.

  • Strong problem-solving and analytical skills, with an aptitude for both technical innovation and stakeholder management.

  • Strong leadership and project management skills, with experience mentoring and developing technical talent.

  • Excellent communication and interpersonal skills with the ability to collaborate effectively across cross-functional teams and executive stakeholders.

  • Strong organizational skills, with demonstrated ability to manage multiple projects and competing priorities and ambiguities in a fast-paced environment.

  • Strong ownership mindset and accountability for outcomes.

Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or healthcare industries.

  • Direct experience supporting Commercial, Sales, Marketing, Market Access, Patient Services, or Field Force effectiveness initiatives.

  • Familiarity with Veeva CRM, IQVIA, claims, prescription, specialty pharmacy, and patient-level commercial datasets.

  • Familiarity with regulatory and compliance standards applicable to healthcare data (e.g., HIPAA).

  • Exposure to GenAI innovation, agentic AI systems, and advanced customer intelligence platforms.

The annual base salary for this position ranges from $160,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
Alkermes has recently adopted a hybrid working environment to support and meet the needs of employees and this role will operate in a flexible environment with 60% of time in the office and 40% from home. This position is eligible for the hybrid workplace model, requiring work to be completed onsite at our Waltham, MA office at least 3 days per week. This role is not eligible for fully remote work.
#LI-TS1
#LI-Hybrid
About Us
Why join Team Alkermes?
Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.
We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine.
Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law. Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.

Apply