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Business Data Scientist Jobs (NOW HIRING)

Required Qualifications: • Bachelor's degree preferably in Actuarial Science, Data Science ... to business stakeholders. Preferred Qualifications: • Knowledge of the insurance domain ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the ...

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

Translate ambiguous business questions into well-scoped data science problems and communicate ... findings to technical and non-technical stakeholders * Mentor junior data scientists and analysts ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ... You will partner with business groups to frame problems, build models and analyses that answer them ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Through our culture of innovation, we inspire, build, and deliver business results, from idea to ... Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ...

Document projects including business objectives, data gathering and processing, leading approaches ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Document projects including business objectives, data gathering and processing, leading approaches ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Collaborate with data engineers and business teams to understand data requirements and improve data ...

Showing results 41-60

Business Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do business data scientist jobs pay per year?

As of Aug 24, 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.

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.

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 does a business data scientist do?

A business data scientist analyzes large datasets to identify trends, develop predictive models, and support data-driven decision-making within organizations. They use statistical tools, programming languages like Python or R, and visualization software to interpret data and communicate insights to stakeholders.
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 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Business Data Analyst

Blue Bell, PA • On-site

Compunnel
IT Services • 501 - 1,000 employees

Contractor

Posted 5 days ago


Job description

Job Summary:
We are seeking a Business Data Analyst to support a major system and data platform modernization initiative within a commercial P&C insurance environment. The role will bridge legacy systems and modern cloud-hosted platforms by working with business stakeholders to understand existing processes, ensure data continuity, support data transformation activities, and identify opportunities for operational efficiency. The ideal candidate will have strong analytical and communication skills, proficiency in SQL and data visualization, and the ability to work effectively across technical and business teams.
Key Responsibilities:
• Partner with business SMEs to analyze and document current-state data processes and data usage across legacy platforms.
• Analyze changes in data structures and attribute values between legacy and modern platforms and communicate impacts to end users.
• Support data mapping and reconciliation activities, including translating legacy data attributes to new platform schemas.
• Create reverse mappings where legacy systems continue to be used during the transition.
• Serve as a liaison between data engineers, developers, and business stakeholders to ensure data solutions align with functional requirements.
• Ensure compliance with data governance, security, and privacy requirements.
• Identify opportunities for process improvement and operational efficiency throughout the modernization initiative.
• Advise business users on best practices for leveraging new data assets and tools.
• Help business SMEs design and execute interim workflows that support accurate and efficient business operations across legacy and modern platforms.
• Contribute to reference data management documentation and support data governance activities.
• Help ensure data quality, consistency, and integrity throughout the transition.
• Collaborate with business intelligence teams to adapt or redesign reports and dashboards to support the new data architecture.
• Support change management activities associated with data, system, and process modernization.
Required Qualifications:
• Bachelor's degree preferably in Actuarial Science, Data Science, Economics, Mathematics, Computer Science, or a related field.
• Strong analytical, problem-solving, and critical-thinking skills with strong attention to detail.
• Proficiency in SQL.
• Experience with data visualization tools such as Power BI.
• Strong written and verbal communication skills.
• Ability to work independently and effectively as part of a cross-functional team.
• Ability to analyze complex data structures, business processes, and data dependencies.
• Ability to communicate technical data concepts and impacts effectively to business stakeholders.
Preferred Qualifications:
• Knowledge of the insurance domain, preferably commercial P&C insurance.
• Experience with legacy financial systems and enterprise data warehouses.
• Exposure to Agile project environments and change management methodologies.
• Knowledge of data cataloging and metadata management tools.
• Familiarity with modern data platforms or data lakehouses, including Microsoft Fabric.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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