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Data Scientist Python R Markdown Jobs (NOW HIRING)

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

The Data Scientist owns end-to-end execution-from problem framing and solution design to model ... Build end-to-end analytical solutions using tools like Python, R, SQL, Power BI/Tableau, and cloud ...

IFab Corporation

Data Scientist

Gastonia, NC · On-site

IFAB Corp is seeking a highly analytical and results-driven Data Scientist to transform data into ... Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau ...

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Data Scientist Python R Markdown information

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How much do data scientist python r markdown jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data scientist python r markdown in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How do Data Scientists using Python, R, and Markdown typically collaborate with cross-functional teams?

Data Scientists who specialize in Python, R, and Markdown often work closely with data engineers, business analysts, and domain experts to deliver actionable insights. They might participate in regular meetings to align on project goals, share findings through reproducible reports using R Markdown, and develop models or analyses in Python or R. Effective communication and documentation are crucial, as results must be accessible to technical and non-technical stakeholders. This collaborative environment not only enhances project outcomes but also provides continuous learning from diverse perspectives.

What does a Data Scientist who uses Python, R, and Markdown do?

A Data Scientist specializing in Python, R, and Markdown analyzes large datasets to extract insights and solve complex problems. They use Python and R for statistical analysis, data cleaning, and building machine learning models, while Markdown is often used to document and communicate their findings in a clear, reproducible manner. These professionals work across industries to make data-driven decisions, build predictive models, and create reports or dashboards that help organizations understand their data. Their role typically involves collecting data, preprocessing it, analyzing trends, and visualizing results for stakeholders.

What are the key skills and qualifications needed to thrive as a Data Scientist with expertise in Python, R, and Markdown, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Proficiency in Python, R, and data visualization/reporting tools like Jupyter Notebooks or R Markdown, along with familiarity with SQL and cloud platforms, is essential. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and convey findings to diverse stakeholders. These skills ensure you can extract actionable insights from complex data, drive data-driven decisions, and clearly communicate results to both technical and non-technical audiences.
Infographic showing various Data Scientist Python R Markdown job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 73% As Needed, 11% Full Time, 4% Part Time, 6% Contract, and 2% Summer. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Workforce Analytics

Data Scientist - Workforce Analytics

MANTECH

Springfield, VA

Full-time

Posted 13 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.
 

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.
 

Responsibilities include but are not limited to:

  • Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
  • Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
  • Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
  • Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
  • Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
  • Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
  • Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
     

Minimum Qualifications:

  • Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
  • Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
  • Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
  • Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
     

Preferred Qualifications:

  • Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
  • Advanced proficiency in coding, specifically including SQL for database management.
  • Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
     

Clearance Requirements:

  • An active TS/SCI with the ability to obtain and maintain a Polygraph.
     

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

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