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Data Science Practitioner Jobs (NOW HIRING)

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Active, hands-on practitioner with recent direct ownership of model development and tool building

Monogram Health

VP Data Science

Partner with data scientists and ML practitioners to unblock complex problems and set technical direction, without micromanaging execution. * Serve as a credible technical voice with Data Engineering ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Active, hands-on practitioner with recent direct ownership of model development and tool building

Monogram Health Inc

VP Data Science

Brentwood, TN

Partner with data scientists and ML practitioners to unblock complex problems and set technical direction, without micromanaging execution. * Serve as a credible technical voice with Data Engineering ...

Mondelez International

$174.10K - $287.27K/yr

Lead the Artificial Intelligence Community of Practice (AI CoP) to create a network community of Data Science practitioners that supports upskilling, exchange of ideas, learning and career ...

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Data Science Practitioner information

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$24K

$117.1K

$205.5K

How much do data science practitioner jobs pay per year?

As of May 31, 2026, the average yearly pay for data science practitioner in the United States is $117,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $156,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Practitioner, and why are they important?

To thrive as a Data Science Practitioner, you need strong statistical analysis, programming skills (often in Python or R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), big data platforms (like Hadoop or Spark), and relevant certifications (e.g., Google Data Analytics, Microsoft Certified: Data Scientist Associate) is highly beneficial. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These skills and qualities are crucial for extracting value from data and driving data-informed decision-making in organizations.

How do Data Science Practitioners typically collaborate with cross-functional teams to drive project success?

Data Science Practitioners often work closely with professionals from engineering, product management, and business analytics to ensure that data-driven solutions align with organizational goals. They participate in regular meetings to understand project requirements, share insights from data analyses, and help translate complex technical findings into actionable strategies for stakeholders. Effective communication and the ability to explain technical concepts to non-technical teammates are essential, as is adapting to rapidly changing project priorities. Collaboration not only enhances project outcomes but also creates opportunities for learning and career advancement.

What are Data Science Practitioners?

Data Science Practitioners are professionals who use scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. They analyze large datasets to identify trends, build predictive models, and help organizations make data-driven decisions. Their work often involves programming, statistics, and domain expertise across various industries such as finance, healthcare, and technology.

What is the difference between Data Science Practitioner vs Data Analyst?

AspectData Science PractitionerData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like Certified Data ScientistBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentDevelops models, algorithms, and predictive analytics; often involves programming and machine learningPerforms data cleaning, visualization, and reporting; focuses on descriptive analytics
Employer & Industry UsageTech companies, finance, healthcare, and consulting firmsBusiness, marketing, finance, and healthcare sectors

While both roles analyze data, Data Science Practitioners focus on building predictive models and advanced analytics, whereas Data Analysts primarily interpret existing data to generate reports and insights. The roles often overlap but differ in technical depth and scope.

More about Data Science Practitioner jobs
What cities are hiring for Data Science Practitioner jobs? Cities with the most Data Science Practitioner job openings:
What states have the most Data Science Practitioner jobs? States with the most job openings for Data Science Practitioner jobs include:
What job categories do people searching Data Science Practitioner jobs look for? The top searched job categories for Data Science Practitioner jobs are:
Data Science Practitioner jobs near you
Infographic showing various Data Science Practitioner job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $117,114 per year, or $56.3 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Suitland, MD

Other

Posted 17 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 425 rated business services

Job description

Job Description: 

Accenture Federal Services is seeking a Data Science Practitioner who can lead our team to produce uncommon intelligence insights.

Responsibilities include:

  • Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
  • Drive data-driven decision-making across the organization
  • Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
  • Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
  • Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
  • Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
  • Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
  • Examine data from multiple sources and share insights which provide competitive advantage
  • Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation

 

Here's what you need:

  • Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
  • Experience analyzing existing systems & databases to understand, validate, and document content  
  • 100% onsite

 Bonus points if you have:

  • Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
  • Experience with Tableau
  • Experience providing IT support as needed

 

Security Clearance:

  • Active TS/SCI clearance required

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