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Hr Data Scientist Jobs (NOW HIRING)

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title ... Contract, 6 Months (extension likely) Compensation Range: $65/hr to $75/hr Benefits: Eligible for ...

Up to $60/hr on C2C - Visa: No CPT/OPT; all others considered Key Responsibilities: - Leverage 6+ ... in Data Science, Statistics, Computer Science, Engineering, Business, or related field (or ...

General Summary of Job Responsibilities The Data Scientist will support the data science ... Experience supporting Human Resources (HR) functions and working with workforce-related data is ...

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... Contract - 6 months Compensation Range: $75-80/hr W2 Benefits: Eligible for Health, Dental, Vision ...

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Safety Radar Inc. seeks a Data Scientist to develop AI modules to evaluate customer safety and risk ... If you need assistance or an accommodation due to a disability, you may contact hr@safetyradar.com ...

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Data Scientist

Washington, DC · On-site

$103K - $120K/yr

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to ... To request accommodations, contact: hr@eastportanalytics.com. Fraud Prevention Notice IMPORTANT ...

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to ... To request accommodations, contact: hr@eastportanalytics.com. Fraud Prevention Notice IMPORTANT ...

Data Scientist

Washington, DC · On-site

$103K - $120K/yr

As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to ... To request accommodations, contact: hr@eastportanalytics.com. Fraud Prevention Notice IMPORTANT ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process ... Compensation: Pay Range: $100-$200/hr, depending on experience and scope. Note: We encourage ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD ...

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Compensation: $80-$130/hr, depending on experience and scope. Note: We encourage qualified ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD ...

Data Scientist

Herndon, VA · On-site

$131K - $237K/yr

The Data Scientist will be provided the data related technologies and services that training ... HR). • Demonstrated experience working with a learning management system. • Demonstrated ...

... data scientist • Partner with senior team members to understand requirements, explore data, and ... Pay and Benefits The pay range for this position is $48.00 - $48.00/hr. Individual compensation ...

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Hr Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do hr data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for hr data scientist 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.

What does an HR Data Scientist do?

An HR Data Scientist analyzes and interprets complex data related to human resources, such as employee performance, retention, recruitment, and engagement. They use statistical techniques, machine learning, and data visualization tools to uncover insights that help organizations make informed HR decisions. Their work often involves building predictive models, automating HR processes, and providing actionable recommendations to improve workforce strategies. By leveraging data, HR Data Scientists help organizations attract, retain, and develop talent more effectively.

How does an HR Data Scientist typically collaborate with HR teams to drive data-informed decision making?

As an HR Data Scientist, you will frequently partner with HR business partners, recruiters, and leadership to translate organizational challenges into data-driven solutions. This involves gathering requirements, analyzing workforce data, and presenting actionable insights that inform areas like talent acquisition, retention, and employee engagement. You may also help develop predictive models or dashboards, serve as a bridge between technical and non-technical stakeholders, and support HR teams in interpreting data trends to guide strategic decisions.

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

To thrive as an HR Data Scientist, you need strong analytical abilities, expertise in statistics, and a background in data science or a related quantitative field, often supported by a relevant degree. Proficiency with tools such as Python, R, SQL, and experience with HR information systems (HRIS) and data visualization platforms like Tableau or Power BI is essential. Excellent communication, problem-solving skills, and business acumen help translate complex data insights into actionable HR strategies. These skills ensure effective analysis of workforce data, driving informed decision-making and organizational success.

How do I become an HR data scientist?

To become an HR data scientist, you typically need a strong background in data analysis, statistics, and programming, often with a degree in fields like data science, statistics, or human resources analytics. Gaining experience with tools such as Python, R, and SQL, along with knowledge of HR systems and metrics, is essential. Certifications in data analysis or HR analytics can also enhance your qualifications and job prospects.

What is data science in HR?

Data science in HR involves analyzing employee data to improve recruitment, retention, and workforce planning. HR data scientists use statistical methods, machine learning, and data visualization tools to extract insights from HR datasets and support strategic decision-making.
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Infographic showing various Hr Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted just now


Job description

Apply now: Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP Duration: Contract, 6 Months (extension likely) Compensation Range: $65/hr to $75/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship

Job Description: The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape