1

Data Science Analyst Jobs (NOW HIRING)

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote) Duration: 12 months Job ID: 178683 Job Overview: The Senior Data Science Analyst will play a critical role in ...

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer. In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for ...

Data Science - Analyst 4

San Jose, CA · On-site

$149.20 - $199.20/hr

Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action. * Demonstrated success applying data science ...

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

As an Analyst on our Data Science team, you'll be an integral part of an innovative group building the analytical foundation behind Premise Health's approach to Population Health; work that continues ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune ...

Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field * 3 years of experience ...

New

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action. * Demonstrated success applying data science ...

Showing results 41-60

Data Science Analyst information

See salary details

$34K

$82.6K

$136K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

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

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

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

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

More about Data Science Analyst jobs

What cities are hiring for Data Science Analyst jobs?

Cities with the most Data Science Analyst job openings:

What are the most commonly searched types of Data Science Analyst jobs?

The most popular types of Data Science Analyst jobs are:

Who are the top companies hiring for Data Science Analyst jobs?

The top employers for Data Science Analyst jobs are:

What states have the most Data Science Analyst jobs?

States with the most job openings for Data Science Analyst jobs include:

Infographic showing various Data Science Analyst 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Re-posted 14 days ago


Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.