242 Data Scientists jobs in Cambridge

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

THE ROLE

The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges. With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges.

Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets. You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units.

WHAT YOU WILL DO

• Design and implement advanced statistical models and machine learning algorithms to solve specific business problems.
• Interpret and analyze data from multiple sources to provide actionable insights and recommendations.
• Collaborate with business strategists to understand their needs and provide data-driven guidance.
• Take initiative in identifying opportunities for data analytics to add value to the business.
• Ensure data quality and integrity throughout all processes.
• Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms.
• Mentor Associate Data Scientists and contribute to their professional development.
• Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization.

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master's degree with 4 years of experience.
• Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar).
• Strong experience in cleaning, transforming, and visualizing large data sets.
• Proven ability to develop, test, and deploy predictive models and machine learning algorithms.
• Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem.
• Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable.
• Strong analytical and quantitative problem-solving ability.
• Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports.
• Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team.
• A history of driving projects to completion and contributing to the success of those projects.
• Ability to mentor and support Associate Data Scientists in their technical development.
• Commitment to continuous learning and staying current with industry trends and best practices in data science.

• Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time
• Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave
• Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions
• Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more
• Life & Disability Benefits: Company-paid basic life insurance and short-term disability
• Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs

Job Description

The Program:

Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!

The Company:

Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.

What You'll Do:

Data Scientist Intern responsibilities may include, but are not limited to:

Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.

Develop models to build solutions to tackle real-world business problems

Interact with product and service teams to identify questions and issues for data analysis and experiments

Communicate your analysis findings to product, service, and business managers

We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.

What You'll Bring (Objective Minimum Qualifications):

To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs , either on your resume and/or by uploading additional documents such as a transcript.

Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.

Have completed at least your junior year toward your undergraduate degree, or higher, by summer 2024.

Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in at least one of the following programming languages:

Python, Java, R, SQL, PL/SQL.

Have experience through coursework, projects, internships, and/or research with at least one of the following libraries:

Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark

Have completed coursework, projects, internships, and/or research in two or more of the following:

Algorithms

Artificial Intelligence

Big Data Query

Data Mining

Data Modeling

Machine Learning

Statistical Inference/Analysis

Attend a university in the US.

Authorized to work in the US in 2024.

No visa sponsorship available

Must be enrolled in a university prior to and following internship completion

What We'll Give You:

High-impact projects: You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.

Mentors that care: Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.

World-class training: Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.

A fun-filled summer: Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from $19.62 to $8.32 per hour; from: 40,800 to 79,700 per annum.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC0

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Head of Data Science

About the Company

Pioneering financial technology (FinTech) company

Industry
Financial Services

Type
Privately Held

About the Role

The Head of Data Science will be responsible for providing strategic leadership to effectively lead a multifunctional team in the delivery of robust data services to clients.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Known Requirements

• Master's degree or Ph.D. in statistics, computer science, or mathematics required
• At least 5 years' experience in a data science leadership position required
• Excellent technical skills and solid experience in ETL pipeline design and development required
• Superior written, verbal, and interpersonal communication skills required

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

We are looking for a Lead Data Science Engineer to join our Daily Fantasy Sports reinvestment team, where we focus on understanding and optimizing how players engage with our DFS products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions.

What you'll do as a Lead Data Science Engineer

• Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment.
• Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement.
• Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems.
• Mentor junior data scientists and share modeling and engineering best practices across the team.
• Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.

• Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts.
• Experience leading and coaching other data scientists
• Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms.
• Ability to structure and execute data science projects and deliver business value through production-ready models.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

• Collaborate with cross-functional teams to develop and refine machine learning models using real-world healthcare data.
• Design and prototype NLP/LLM solutions to extract insights from unstructured clinical text.
• Support development of foundational datasets through multi-source data integration and clinical concept abstraction.
• Conduct literature reviews and comparative evaluations to inform model design and healthcare applications.
• Communicate progress through internal presentations and, where applicable, contribute to academic publications.

• Currently pursuing a PhD in Computer Science, Biomedical Informatics, Statistics, Data Science, or a related technical field.
• 2+ years of experience applying machine learning or NLP to clinical or real-world healthcare data.
• Strong programming skills in Python and experience with ML/NLP frameworks such as TensorFlow, PyTorch, or HuggingFace.
• Experience working with electronic health records (EHRs), clinical notes, or medical ontologies.

• Familiarity with large language models (LLMs), including prompting, fine-tuning, or retrieval-augmented generation (RAG).
• Knowledge of medical terminologies (e.g., SNOMED CT, ICD-10, RxNorm) and ontological structuring.
• Experience developing production-ready ML pipelines or tools in healthcare or life sciences.
• Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders.
• Interest in translating research into real-world, scalable applications.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Data Science Engineering Co-Op, you'll join a fast-moving team where innovation and data power everything we do. You'll work side by side with experienced Machine Learning and Data Science engineers to design solutions that drive the customer experience for millions of users. Whether you're optimizing marketing strategies, building recommendation systems, or detecting fraud in real-time, you'll dive deep into complex problems and see your contributions come to life. Here, you won't just observe-it's your opportunity to accelerate your growth in a tech-forward and data-driven environment.

What You'll Do

• Contribute to the design and development of machine learning systems and data science solutions in production environments.
• Learn how to build, deploy, and operate scalable technical products as part of an engineering team.
• Contribute to internal research and development projects, delivering meaningful impact from the start.
• Work with an assigned team buddy to onboard quickly and effectively integrate with team workflows.

• Pursuing a Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field is required.
• Strong understanding of statistics and hands-on experience programming in Python.
• Background in collaborative technical work, either through internships, academic projects, or team-based coursework.
• Familiarity with version control tools such as Git is preferred.
• Eagerness to explore new technologies, tools, and quantitative approaches.
• Prior internship or co-op experience in a corporate or technical environment is a plus.

• Intensive training in core data science concepts, including statistics, machine learning, data visualization, and programming languages (e.g., Python, R).
• Exposure to real-world data challenges and projects across various industries.
• Mentorship from experienced data scientists and industry experts.
• Development of practical skills in data cleaning, exploration, modeling, and interpretation.
• Opportunities to work with cutting-edge tools and technologies.
• Collaboration with cross-functional teams on client engagements.
• Focus on understanding business problems and translating them into data-driven solutions.
• Training in effective communication of data insights to both technical and non-technical audiences.
• Potential for full-time employment upon successful completion of the trainee program.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong academic record with a GPA of 3.5 or higher.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Understanding of statistical concepts and techniques.
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• Eagerness to learn, a proactive attitude, and a strong work ethic.
• Ability to work collaboratively in a team environment.
• Demonstrated interest in data science through projects, coursework, or internships.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

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Job Description:

Johnson & Johnson is currently seeking a Data Science Co-op  to join our Critical Care team (Applied Sciences & AI) located in Danvers, MA . 

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at  Dates:   January 12 – June 26, 2026

Position Summary

The Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.

• Implement machine learning for new or existing algorithms

• Design and translate algorithms for products and internal analysis tool

• Research in new applications of data science within the company

• Conduct data analysis for internal or external groups

Key Responsibilities 

• Assist in the design and training of Machine Learning models for Clinical Decision Support

• Provide input into process development and improvement

• Analyze data and present results to larger Engineering team

Minimum Requirements 

• Senior, Master's or PhD student pursuing a degree in Data Science, Computer Science, Computer Engineering, Software Engineering, AI, or Statistics

• Strong Machine Learning background with experience in Deep Learning (along with tools like Tensorflow, Keras, Pytorch), time series modeling, LLMs, natural language processing.

• Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.

• Solid understanding of statistics, strong analytical skills

• Self-motivated, execute tasks in a timely manner

• Demonstrated communication skills, both written and verbal

Preferred Requirements

• Demonstrated experience with tuning and evaluating Large Language Models on variety of tasks including Named Entity Recognition and Question-Answering

• Knowledge in Data Science / Machine Learning libraries (numpy, pandas, matplotlib, sklearn, nltk)

• Experience in signal processing

• Big data / cloud experience (AWS, Azure, Google Cloud, Hadoop, Spark, Hive)

• Displayed interest in medical device industry

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.  Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation,  external applicants please contact us via   . internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

Additional Description for Pay Transparency:

Job Description
Senior Research Scientist - AI/ML & Signal Processing
Location: Great Baddow (Hybrid, 2 days onsite per week)
Salary: Up to £70,000 + benefits
We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML algorithms and statistical signal processing technique.

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