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Business Analytics Data Science Jobs (NOW HIRING)

Microsoft

Principal Data Scientist

Redmond, WA · On-site

The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Adobe

Senior Manager, GTM Data Science

San Jose, CA

$148K - $195K/yr

Own customer and business analytics for the Creative Professional portfolio, including Creative ... Apply advanced analytics and data science methods-including segmentation, forecasting ...

Valley Bank

Data Scientist

Manhattan, NY · On-site

Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences. * Miniumum of 3 years working in a data analytics role with ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

New York Blood Center Inc

Analytics Engineer

Rye, NY

$142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

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Business Analytics Data Science information

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How much do business analytics data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for business analytics data science in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

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

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do business analytics data science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

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

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

What is the role of a business analytics data scientist in business analytics?

A business analytics data scientist analyzes large datasets to identify trends, develop predictive models, and support data-driven decision-making within organizations. They use tools like Python, R, and SQL, and often work closely with business stakeholders to translate data insights into strategic actions.
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Infographic showing various Business Analytics Data Science job openings in the United States as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Principal Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 13 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 246 rated software companies

Job description

Overview
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting August 17, 2026, Microsoft Advertising employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least 3 days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
  • Experience partnering with advertising, monetization, or marketplace organizations.
  • Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
  • Experience leading analytics for large-scale consumer products with millions of users.
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights.
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.

#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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