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Data Scientist Project Manager Jobs (NOW HIRING)

Meijer Companies Ltd

Data Scientist

Grand Rapids, MI · On-site

Partner with stakeholders to define requirements which meet system and customer experience needs for data science projects. * Partner with stakeholders to understand the journey that will be improved ...

New

Apple

Data Scientist

Austin, TX · On-site

Drive project execution from scoping to delivery and mentoring junior data scientists on advanced ... to manage text data and perform tasks including text classification, entity recognition, or ...

Nvidia

Senior Data Scientist - Finance

Santa Clara, CA · On-site

Data Science project management experience, including collaborating closely with multiple collaborators to drive projects and coordinating resources within the organization. * Excellent communication ...

JS Consulting

Data Scientist

Washington, DC · On-site

Job Title- Data Scientist Project Location - Onsite in Washington, District of Columbia Duration ... management. * Demonstrated experience programming with R/Python, Linux, and Spark in AWS cloud ...

Generac

Data Scientist II

Waukesha, WI · On-site

We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities building proofs of concept and implements them as a data product. You ...

University of Rochester

$61K - $85K/yr

Works with senior team members to develop and manage project plans. Executes and evolves project ... Bachelor's degree in Data Science, Math, Information Science or related field and 1 year of ...

Dataiku

OR · On-site

Scope and co-develop production-level data science projects with our customers across different industries and use cases * Help users discover and master the Dataiku platform via user training ...

Oscar Health

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Leidos

Data Scientist

Springfield, VA

$92K - $166K/yr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

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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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Data Scientist Project Manager jobs near you
Data Scientist

Data Scientist

Meijer Companies Ltd

Grand Rapids, MI • On-site

Full-time

Posted 2 days ago

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,603 frontline employees who took The Breakroom Quiz

19th of 39 rated national retailers

Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

The Pharmacy Analytics team at Meijer leads the strategy, development and integration of analytics for Meijer Pharmacy. Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial Intelligence and system efficiencies by delivering innovative data driven solutions. Through these applications, data scientists drive material business value, mitigate business and operational risk, and significantly impact customer experience. This role works directly with merchandising, marketing, operations, IT, and vendor partners.


What You'll Be Doing:

  • Deliver against the overall data science strategy to drive a safe and secure patient experience, marketing, customer loyalty, and operational performance.
  • Partner with stakeholders to define requirements which meet system and customer experience needs for data science projects.
  • Partner with stakeholders to understand the journey that will be improved with the data science deliverables.
  • Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, data transformations, statistical models, machine learning and artificial intelligence functions to meet end user needs.
  • Partner with product development and technology teams to deploy pipelines into production environment following Safe Agile methodology as required.
  • Develop data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution.
  • Help to define, document and follow best practices for ML/AI development at Meijer.
  • Deliver communication to data consumers to ensure they understand data science products, have the proper training, and are following the best practices in application of data science products.
  • Monitor and analyze Key Performance Indicators to ensure the usage, adoption, health and value of data products.
  • Partner and communicate with internal teams and IT to ensure the architecture of data and systems are meeting data science team service level needs
  • Maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact
  • This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You'll Bring With You:

  • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field
  • 4+ years of relevant data science experience in an applied role preferable in retail, pharmaceutical, logistics, supply chain or CPG industry.
  • Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch.
  • Experience with Azure Cloud technologies: Azure Synapse, Azure Data Factory, ADLS, and Azure DevOps/MLOps
  • Experience with Microsoft Fabric, PowerBI Reporting, Semantic Models, Ontology, Copilot
  • Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
  • Proactive, curious and action oriented
  • Ability to collaborate with, and present to internal and external partners
  • Able to learn company systems, processes and tools, and identify opportunities to improve
  • Detail oriented and organized
  • Ability to meet production deadlines
  • Strong communications, interpersonal and organizational skills
  • Excellent written and verbal communication skills
  • Understanding of intellectual property rights, compliance and enforcement. Appreciation of HIPAA and other personal health or credit information confidentiality.

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