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Analytics Data Scientist Jobs (NOW HIRING)

Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and ...

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Conduct data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal ...

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Conduct data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal ...

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Conduct data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Collect, clean, and analyze large, complex datasets from multiple sources. * Develop and implement ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical ...

This role will leverage advanced analytics, data modeling, automation, and data engineering methods ... Bachelor's degree in data science, computer science, statistics, mathematics, engineering ...

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

This role will leverage advanced analytics, data modeling, automation, and data engineering methods ... Bachelor's degree in data science, computer science, statistics, mathematics, engineering ...

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

This role will leverage advanced analytics, data modeling, automation, and data engineering methods ... Bachelor's degree in data science, computer science, statistics, mathematics, engineering ...

Data Scientist LCAT: Mid Locations: DIAC, Joint Base Anacostia Bolling Shift: No Required clearance ... Experience with data analytics, data mining, statistical analysis, or AI/ML Desired qualifications

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

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Analytics Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do analytics data scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for analytics data scientist 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.

What are the key skills and qualifications needed to thrive as an Analytics Data Scientist, and why are they important?

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

What does an Analytics Data Scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

How does an Analytics Data Scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

What is the difference between Analytics Data Scientist vs Data Analyst?

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

More about Analytics Data Scientist jobs
What cities are hiring for Analytics Data Scientist jobs? Cities with the most Analytics Data Scientist job openings:
Infographic showing various Analytics Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% 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 • On-site

Full-time

Re-posted 24 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

Job Summary:
MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The role involves delivering oversight and compliance capabilities to the Equal Employment Opportunity office by leveraging data science to protect privacy rights and civil liberties.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• An active TS/SCI with the ability to obtain and maintain a Polygraph.
• 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.
Preferred:
• 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.
Company:
ManTech is a technology company that offers cyber, IT, and data analytics technologies and solutions for security programs. Founded in 1968, the company is headquartered in Herndon, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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