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Data Scientist Programmer Jobs (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning ...

Data Scientist

Miami, FL · On-site

$150 - $200/hr

Partner with Data Operations and Software Engineering to improve ingestion, transformation ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

$150 - $200/hr

Partner with Data Operations and Software Engineering to improve ingestion, transformation ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

Contract Qualifications 3-7 years of experience (mid-level) in data science, statistics, and data analytics Ability to work with moderate to minimal supervision Strong programming abilities in SQL ...

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices (ETL design, coding standards, security), and builds modular, reusable components for analytics ...

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Provide technical consultation on health science, data science, programming, and advanced ... analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians ...

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Provide technical consultation on health science, data science, programming, and advanced ... analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians ...

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Provide technical consultation on health science, data science, programming, and advanced ... analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians ...

Work together with engineering and product development teams Data Scientist requirements are: * 3+ years' experience of working on Data Scientist or Data Analyst position * Significant experience in ...

Work together with engineering and product development teams Data Scientist requirements are: * 3+ years' experience of working on Data Scientist or Data Analyst position * Significant experience in ...

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks ... Work closely with software engineers and architects to extract, transform and standardize data from ...

Qualifications : Required : • Master's degree in Computer Science, Engineering, Applied ... data science or machine learning. • Solid understanding of statistical methods, regression ...

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

This role is in our software organization and collaborates closely with scientists, engineers, and business stakeholders to translate scientific workflows into productized analytical tools and data ...

Data Scientist

Sunnyvale, CA · On-site

$150 - $200/hr

This role is in our software organization and collaborates closely with scientists, engineers, and business stakeholders to translate scientific workflows into productized analytical tools and data ...

$100 - $125/hr

SENIOR DATA SCIENCE ENGINEER SPECIALIST - DATA SCIENTIST Concurrent Technologies Corporation Johnstown, PA or Telecommute Minimum Clearance Required: N/A Clearance Level Must Be Able to Obtain: N/A ...

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... computer science, engineering, statistics, mathematics, or related field • Have hands-on ...

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Strong proficiency in programming languages such as Python or R. * Experience with data ...

Data Scientist

Fort George G Meade, MD · On-site

$100 - $125/hr

Requisition Requisition #: 1424 Title Data Scientist / Engineer Clearance Top Secret clearance Location Alexandria, VA | Arlington, VA Role Summary Agile Defense is seeking a Data Scientist ...

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Data Scientist Programmer information

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$37.5K

$122.7K

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How much do data scientist programmer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data scientist programmer 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 is a data scientist programmer?

Data Scientist Programmers are professionals who combine expertise in computer programming with statistical and analytical skills to extract insights from data. They use programming languages like Python or R to manipulate large datasets, build predictive models, and create data visualizations. Their work often involves cleaning and transforming data, selecting appropriate algorithms, and interpreting results to help organizations make informed decisions. Data Scientist Programmers play a key role in fields like business analytics, healthcare, finance, and technology.

How do data scientist programmers typically collaborate with other departments in an organization?

Data Scientist Programmers often work closely with cross-functional teams, including product managers, engineers, and business analysts. Collaboration is essential for understanding project requirements, accessing relevant data, and ensuring that analytical solutions align with business goals. Regular meetings, code reviews, and presentations of findings are common, allowing Data Scientist Programmers to communicate technical results in understandable terms and gather feedback. This teamwork-focused environment helps ensure that data-driven insights can be effectively integrated into products and decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist programmer, and why are they important?

To excel as a Data Scientist Programmer, you need proficiency in statistics, machine learning, programming (especially Python or R), and a strong foundation in data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Jupyter Notebooks, SQL databases, TensorFlow, and cloud platforms, along with relevant certifications like AWS or Google Cloud, is highly valuable. Strong problem-solving skills, effective communication, and an ability to collaborate with cross-functional teams help you stand out in this role. These skills are crucial for transforming raw data into actionable insights and developing scalable solutions that drive business growth.

What cities are hiring for Data Scientist Programmer jobs?

Cities with the most Data Scientist Programmer job openings:

What states have the most Data Scientist Programmer jobs?

States with the most job openings for Data Scientist Programmer jobs include:

What are popular job titles related to Data Scientist Programmer jobs?

For Data Scientist Programmer jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

The Woodlands, TX • On-site

Paladin Consulting
Recruiting and Staffing Services • 1 - 5K employees

Other

Posted 13 days ago


Job description

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline


Job Description:

  • This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
  • The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
  • This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements
  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

  • Experience with Databricks, Spark, or PySpark
  • Experience with cloud platforms such as AWS or Azure
  • Experience with Tableau, Power BI, or other data visualization tools
  • Experience with modern data architectures and lakehouse environments
  • Experience developing AI-enabled applications
  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics