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Data Scientist Project Manager Jobs (NOW HIRING)

Manage multiple, often concurrent projects and meet expectations. * Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects ...

You will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the team. This ...

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements. * Partner with cross-functional teams to ...

You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

As a lead data scientist, you will partner with stakeholders, program managers, and other data ... Proven track record of managing and leading cross-functional projects and teams * Solid ...

Data Scientist

Boston, MA · On-site

$120K/yr

... managers, and business partners to turn data into actionable insights and deploy models into production. Responsibilities * Contribute to end-to-end data science projects that improve product ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Verse helps these organizations manage complex power portfolios with confidence by unifying energy ... Own and drive projects from problem definition through scoping, modeling, validation, and ...

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

Verse helps these organizations manage complex power portfolios with confidence by unifying energy ... Own and drive projects from problem definition through scoping, modeling, validation, and ...

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Apply Early

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Project Oversight & Execution - Manage and oversee the development of machine learning models and ...

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Experience with data management in SQL, including managing large-scale data across multiple ...

Data Scientist

San Francisco, CA · On-site

$171K - $230K/yr

Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime ...

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Data Scientist Project Manager information

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$46K

$165K

$243.5K

How much do data scientist project manager jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data scientist project manager in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
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What states have the most Data Scientist Project Manager jobs? States with the most job openings for Data Scientist Project Manager jobs include:
Senior Data Scientist

Senior Data Scientist

Abbott

Austin, TX • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

154th of 527 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of
  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
  • An excellent retirement savings plan with high employer contribution
  • Tuition reimbursement, theFreedom 2 Savestudent debt program andFreeUeducation benefit - an affordable and convenient path to getting a bachelor's degree.
  • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

TheSenior Data Scientistposition works out of ourAustin, TXlocation in theCardiac Rhythm ManagementDivision.

As a global leader in Cardiac Rhythm Technologies, we focus on innovative technologies that can improve the way doctors treat heart arrhythmias or irregular heartbeats.

What You'll Work On

Abbott currently has an opportunity for a Sr. Data Scientist. The Sr. Data Scientist will support and lead various data science projects to deliver commercial solutions for Cardiac Rhythm Management organization. The candidatewill be responsible for working on complex problems in the field of life-saving implantable medical devices. The candidate will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects. As a key leader on the team, the candidate will develop solutions to curate and analyze large quantities of medical data. The candidate will work on projects that provide solutions to internal and external stakeholders. The candidate will present solutions and insights in concise and effective manner to technical and non-technical audiences.

  • Develop, plan, coordinate and direct data science projects (of medium to advanced complexity) that are of major scope and importance. Manage multiple, often concurrent projects and meet expectations.
  • Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects effectively address businesses' long and short-term business goals.
  • Communicate data science results to internal and external audiences, including senior management. Prepare and present written and oral reports. Adjust presentation style and content to suit the audience.
  • Interact well with diverse groups and maintain strong working relationships with internal and external collaborators. Listen to and understand others' points of view and articulate tactfully and respectfully one's own and others' perspectives orally, in writing, and in presentations.
  • Interface with senior management on significant matters, often requiring the coordination of activity across organizational units.

Location

  • Austin, TX

Education and experience you'll bring

  • 4+ years of relevant experience
  • Bachelor's Degree in a related field
  • In-depth knowledge of contemporary machine learning, pattern recognition and data-mining techniques.
  • Apply scientific knowledge on data modeling, data analytics, predictive algorithms, prescriptive algorithms and other data science principles to create concepts, develop prototypes, and generate insights from commercial data
  • Analytical skills with a solid foundation in programming (R, SAS, Python, SQL, NoSQL, PostgreSQL) and data/database design
  • Create dashboards and visualizations of commercial data using Power BI to identify trends and provide key business insights to leaders across different teams
  • Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results.

Preferred Qualifications:

  • Master's degree in quantitative discipline, such as computer science, engineering, data science, bioinformatics, statistics, mathematics, machine learning or related field.
  • Proficient in data warehousing, data modeling, ETL and SQL
  • Prior experience or working knowledge with one or more of the following tools and technologies: Spark, Clojure, Hive, Pig, Redshift
  • Experience with big-data architecture, operating systems, and tools for big-data analytics
  • Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships.
  • Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
  • Has broad knowledge of various technical alternatives and their potential impact on the business.

The base pay for this position is

$78,000.00 - $156,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:IT Services & Solutions DeliveryDIVISION:CRM Cardiac Rhythm ManagementLOCATION:United States > Austin : 8701 Bee Caves RdADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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