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Business Data Scientist Jobs (NOW HIRING)

Business Data Scientist Job Location: Tulsa, OK Job Type: Full Time * Develops, implements, and supports business intelligence reporting and advanced * analytical model development, architecture ...

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities ...

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities ...

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives. The Senior Data Scientist is self-motivated and able ...

Data Scientist, Business

New York, NY · On-site

$290K - $441K/yr

About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and ...

Junior Data Scientist

Washington, DC · On-site

$90K - $135K/yr

... level Data Scientist . In this role, you will be supporting impactful projects that make a ... Creates business intelligence analysis and visualizations for management. * Improves methodologies ...

Lead Data Scientist

New York, NY · On-site +1

$130K - $200K/yr

We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Responsibilities : • Work with diverse data from a wide range of projects across the business ...

Lead Data Scientist

New York, NY · On-site

$130K - $200K/yr

We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate ...

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... This dynamic role uses a consultative approach with the business segments to dive into our customer ...

Senior Data Scientist

$141K - $225K/yr

About the team Zillow Group's Business Data organization represents the next step forward in the ... Independently scope and deliver end-to-end data science projects, from problem framing through ...

Build predictive models based on business data, including data preparation, feature engineering ... What you'll do as a Data Scientist: * Perform data mining, exploration, and analysis. * Design ...

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Business Data Scientist information

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$46K

$165K

$243.5K

How much do business data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for business 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.

Is a business data scientist job still in demand?

Yes, business data scientist roles remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in statistical analysis, machine learning, and data visualization tools like Python, R, and Tableau are highly valued, and the role often offers competitive salaries and growth opportunities.

How do business data scientists typically collaborate with other departments to drive data-driven decisions?

Business Data Scientists work closely with cross-functional teams such as marketing, finance, product, and operations to identify business challenges and translate them into analytical projects. They often participate in meetings with stakeholders to understand objectives, communicate findings, and recommend actionable strategies based on data insights. Effective collaboration involves explaining complex data concepts in accessible terms, ensuring alignment on goals, and iteratively refining solutions based on feedback. This role requires strong communication and stakeholder management skills to ensure data-driven recommendations are implemented successfully.

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

AspectBusiness Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Statistics, Mathematics, or related fields; strong skills in data visualization and analysis
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, and data visualization in various industries
Employer & Industry UsageTech companies, finance, consulting firms, and large enterprisesRetail, healthcare, finance, and other sectors requiring data reporting

Business Data Scientists focus on advanced analytics, machine learning, and predictive modeling to inform strategic decisions. Data Analysts primarily handle data collection, cleaning, and visualization to support operational insights. While both roles require strong analytical skills, Business Data Scientists typically have more experience with complex algorithms and strategic projects, whereas Data Analysts focus on reporting and descriptive analytics.

What is a business data scientist?

A Business Data Scientist is a professional who uses data analysis, statistical methods, and machine learning to help companies make data-driven business decisions. They collect, process, and interpret large sets of business data to uncover trends, solve organizational problems, and identify opportunities for growth. Their work often involves collaboration with business stakeholders to translate complex data insights into actionable business strategies. Business Data Scientists play a key role in improving efficiency, optimizing operations, and gaining a competitive edge in the market.

What are the key skills and qualifications needed to thrive as a business data scientist?

To thrive as a Business Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, typically supported by a relevant degree. Familiarity with data analysis tools like Python, R, SQL, and experience with machine learning platforms or business intelligence systems is essential. Effective communication, problem-solving, and the ability to translate data insights into actionable business strategies are standout soft skills. These skills and qualities are important because they enable you to derive valuable insights from complex data and drive informed decision-making within an organization.
More about Business Data Scientist jobs
What cities are hiring for Business Data Scientist jobs? Cities with the most Business Data Scientist job openings:
What states have the most Business Data Scientist jobs? States with the most job openings for Business Data Scientist jobs include:
Infographic showing various Business Data Scientist job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Business Data Scientist

Staffingine LLC

Tulsa, OK • On-site

Full-time

Re-posted 5 days ago


Job description

Job Title:  Business Data Scientist 
Job Location: Tulsa, OK 
Job Type: Full Time 

Job Description:  

  • Develops, implements, and supports business intelligence reporting and advanced 

  • analytical model development, architecture, data availability and data models 

  • Creates scalable, efficient, and automated processes for large scale data analyses, model 

  • development, model validation, and model implementation 

  • Streamlines user interfaces and data visualization tools to make data analyses more 

  • effective and accessible 

  • Assists with the development of descriptive, predictive and/or prescriptive statistical models to solve business problems 

  • Works with large data sets in a hybrid cloud environment across multiple source systems, machine learning, artificial intelligence and other advanced statistical methods 

  • Work with other internal partners to develop data solutions 

  • Other duties as assigned