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Business Data Scientist Jobs (NOW HIRING)

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 ...

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

Data Scientist, Business

New York, NY ยท 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 ...

The Data Scientist will leverage data to drive insights and impact the organization's strategic ... Applies statistical techniques and tools for data mining and modeling of business applications to ...

Title: Data Scientist Who We Are KBR Mission Technology Solutions delivers full life cycle ... Prepare business data metric reports and infographics for the office to assist with decisions.

Title: Data Scientist Who We Are KBR Mission Technology Solutions delivers full life cycle ... Prepare business data metric reports and infographics for the office to assist with decisions.

Sr Business Data Scientist, Marketing Analytics

OR ยท On-site +1

$91K - $169K/yr

IMPACT YOU'LL MAKE As a Senior Data Scientist, Marketing Analytics at BECU, you'll serve as a strategic partner to Marketing-helping translate business challenges into data-driven solutions that ...

Genesis10 is currently seeking a Senior Data Scientist for a hybrid position with a Regional ... This role involves using advanced analytics methods to extract value from business data and ...

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

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 ...

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 ...

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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 Jun 16, 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 40 too late for data science?

Business Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less a barrier than demonstrating proficiency and adapting to evolving technologies.

Which is better, DS or CS?

For a Business Data Scientist, both Data Science (DS) and Computer Science (CS) skills are valuable; DS focuses on data analysis, modeling, and insights, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific role requirements, but a strong foundation in data manipulation tools like SQL and Python is essential for success in this field.

What does a business data scientist do?

A business data scientist analyzes large datasets to identify trends, develop insights, and support decision-making within a company. They use statistical methods, machine learning, and data visualization tools to solve business problems and improve strategies. Strong programming skills and knowledge of data analysis tools like Python or R are essential for this role.

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, and why are they important?

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of outcomes come from 20% of the causes or data features. Business data scientists often use this rule to focus on the most impactful variables or data segments to improve model performance and decision-making efficiency.
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 June 2026, with employment types broken down into 6% Full Time, and 94% Part Time. 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.
Senior Data Scientist

Senior Data Scientist

Surescripts

Arlington, VA โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago


Job description

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
Job Summary:
The Senior Data Scientist will play a pivotal role in developing and implementing data-driven solutions across various business functions, collaborating with cross-functional teams to analyze complex data sets, derive actionable insights, and drive strategic decision-making. The Senior Data Scientist will design, deliver, and optimize powerful insights and visuals with advanced analytics and AI, including effective use of AI assistants within development tools to accelerate planning, solution design, implementation, and documentation.
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 to work under limited supervision from management, can manage multiple complex and significant projects simultaneously, and is responsible for making connections and integrating work across teams and departments. Working closely with data solutions architects and other leaders, the Senior Data Scientist ensures alignment of prioritization of work and appropriate allocation of resources, while applying responsible, secure, and privacy-aware AI-assisted workflows (human-in-the-loop review, traceability, and validation of AI-generated outputs).
This role will lead efforts around process improvement to enhance team effectiveness in leveraging advanced analytics tools and techniques in our Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will be responsible for developing training and information materials on new techniques/tools/reports across the enterprise to ensure rapid and effective adoption of insights derived from advanced analytics techniques.
Responsibilities:
  • Data Exploration: Explore and preprocess data from various sources, measuring and ensuring data quality and integrity. Enrich data with external, auxiliary, or commercial data sets to enhance suitability for monetization or AI/ML.

  • Advanced Analytics: Apply statistical and machine learning techniques to collect and analyze large datasets and identify patterns by developing predictive models, deep learning algorithms, and frameworks using tools like TensorFlow and PyTorch. Leverage model farms and other AI repositories for development of innovative data processing pipelines to deliver value to the business.

  • Model Development: Design, build, and validate predictive models to solve business problems. Provide team leadership to ensure provenance and traceability in MLOps development cycles.

  • Data Visualization: Create compelling visualizations to communicate findings and insights to stakeholders.

  • Collaboration: Work closely with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions.

  • AI-Assisted Planning & Design: Use AI assistants to accelerate requirements clarification, solution options, and technical design; convert outputs into reviewed artifacts (design docs, user stories, test plans).

  • AI-Assisted Implementation: Use AI coding assistants to draft code/queries/notebooks/pipelines; perform human review for correctness, security, performance, and maintainability; follow IP/licensing and data-use policies.

  • QA Oversight: Define acceptance criteria, test strategy, and validation methods (data checks; model metrics and bias/robustness as applicable); partner with engineering/QA on regression coverage and release readiness.

  • AI-Teaming & Refinement: Iteratively refine solutions using prompt engineering, grounding/source practices, and evaluation rubrics; document prompts, assumptions, and decisions for repeatability.

  • Mentorship: Provide guidance and mentorship to other data scientists, analysts and engineers within the team. Serves as a mentor/role model, imparting analytic knowledge, experience, and skills to other staff at all levels, either individually or as a member of project teams.

  • Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data science.

  • Evangelism: Evangelize within company the capabilities and opportunities that data science and advanced analytics empower towards corporate goals.

  • Question, validate, and perform quality assurance of the data for integrity and consistency to support ongoing data quality assessment and improvement initiatives.

  • Understand all applicable data privacy and security laws, rules, regulations, and contractual restrictions, and follow all Surescripts data governance and data usage rights policies and procedures.

  • Document access and use requirements for advanced analytics data/reporting products and support the definition of report template and specifications.

  • Demonstrate ability to communicate complex analytic results in a clear and concise fashion to sponsors/clients at all levels, and to audiences of all sizes.

  • Summarize and synthesize large bodies of work down to the essential elements and convey those results effectively and efficiently, in both written and oral form, to the most senior leaders in client organizations.

  • Effectively communicate with & engage colleagues at all levels of the organization.

  • Effectively delegate responsibilities to the appropriate people and levels.

  • Develop internal and external networks of contacts and have a positive influence on those networks.

  • Play a key role in supporting corporate initiatives and support senior leadership initiatives to realize Surescripts' goals.

Qualifications:
Basic Requirements:
  • Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience

  • 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context

  • 5 years of experience with large healthcare transactional datasets/reporting

  • 5 years of experience in healthcare transaction data, including QA, testing and reporting

  • Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB)

  • Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data

  • Analytical background and research experience with large volumes of personal data

  • Ability to translate statistical analysis into a written and verbal presentation for non-data science audience.

  • Experience in statistical modeling using healthcare data

  • Experience developing training material and delivering training to user groups of 10 or more

  • Knowledge of privacy laws and regulations around health data (HIPAA)

  • Demonstrated proficiency using AI assistants across planning, design, implementation, and documentation (e.g., IDE/code assistants such as GitHub Copilot or Claude Code; chat-based assistants such as Microsoft Copilot; notebook/workbench assistants), with human review, traceability, and validation of AI-generated outputs.

  • Demonstrated experience providing QA oversight for analytics/ML deliverables (defining acceptance criteria, designing validation approaches, partnering with engineering/QA on test automation and release readiness).

  • Experience with AI-teaming techniques for refining technical solutions (prompt engineering, grounding/citation practices, evaluation rubrics and benchmarking, and documentation of AI-assisted decisions), including identifying and mitigating common failure modes (e.g., hallucinations, data leakage, insecure code).

Preferred Qualifications:
  • PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA

  • Health IT industry knowledge with a special focus on e-prescribing

  • Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS)

  • Deep experience with large language models and/or natural language processing (e.g., fine-tuning, prompt/program orchestration, retrieval-augmented generation, or LLM evaluation frameworks) beyond baseline AI-assistant usage.

  • Familiarity with responsible AI practices (privacy, security, data handling, model risk considerations, and controls for AI-generated code/content) in regulated environments.

  • Project management experience

  • Google Cloud environment expertise

  • Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.
To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.
Why Wait? Apply Now
We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $157,500 - $192,500 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.
Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
Physical and Mental Requirements
While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.
Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.