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Data Scientist - B2C Consumer Trends

Robert Half Technology

Richmond, VAJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Richmond, VA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Data Scientist will evaluate and optimize a major performance marketing channel, using statistical analysis to inform marketing investment decisions. The role focuses on B2C marketing analytics, paid search, experimentation, and translating ambiguous business questions into actionable recommendations. The scientist will work with large datasets and collaborate with marketing, analytics, and business stakeholders on campaign performance, spend allocation, and measurement.

Skills & qualifications

RequiredNice to have

Skills

Marketing AnalyticsB2C MarketingSQLStatistical AnalysisHypothesis TestingSignificance TestingPower AnalysisExperimental DesignBusiness RecommendationsPythonPandasDashboard DevelopmentTableauLookerGoogle AdsMicrosoft AdsSearch Ads 360Incrementality TestingMedia Mix ModelingMulti-Touch AttributionAI ToolsGenAI ToolsAnalytical CommunicationProblem SolvingCollaborationInfluencing Decisions

Qualifications

3+ Years Marketing Analytics ExperienceBachelor's in Quantitative Field

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match

Full job description

Description

About the Opportunity

We're seeking a Data Scientist who thrives at the intersection of business strategy, marketing analytics, and statistical analysis. This role sits between a traditional Data Analyst and Data Scientist, focusing less on reporting and more on answering complex business questions that influence marketing investment decisions.

You'll join a high-performing analytics team responsible for evaluating and optimizing one of the organization's largest performance marketing channels. The ideal candidate brings a strong background in B2C marketing analytics, paid search, experimentation, and statistical analysis, with the ability to translate ambiguous business problems into actionable recommendations.

What You'll Do

In this role, you'll use data to influence marketing strategy and investment decisions across large-scale paid search programs.

Key Responsibilities:

  • Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure the true business impact of paid search investments.

  • Build statistical frameworks to evaluate campaign performance and guide strategic decision-making.

  • Analyze large datasets using SQL and Python to uncover trends, performance drivers, and opportunities.

  • Develop recommendations regarding marketing spend allocation through ROI and marginal return analyses.

  • Translate complex business questions into structured analytical approaches and defensible recommendations.

  • Partner with marketing, analytics, and business stakeholders to influence investment and optimization strategies.

  • Create and maintain trusted reporting, dashboards, and performance measurement frameworks.

  • Validate findings, quality-check reporting, and challenge assumptions to ensure analytical rigor.

  • Support ad hoc analyses including:

  • Marketing budget optimization

  • Competitive performance analysis

  • Search engine algorithm impact assessments

  • Customer acquisition and conversion performance studies

What a Typical Month Looks Like

  • 50% Ongoing performance management and campaign optimization

  • 30% Strategic projects, experimentation, and deep-dive analysis

  • 20% Team collaboration, stakeholder meetings, and team development

Requirements

Required Qualifications

  • 3+ years of experience in Marketing Analytics, Media Analytics, Business Analytics, or a similar data-rich environment.

  • Experience supporting B2C marketing organizations.

  • Advanced SQL skills with experience querying and analyzing large datasets.

  • Strong statistical background, including:

  • Hypothesis testing

  • Statistical significance testing

  • Power analysis

  • Experimental design

  • Experience translating ambiguous business questions into actionable recommendations.

  • Proficiency with Python (Pandas preferred) for data analysis.

  • Experience building reports and dashboards using Tableau, Looker, or similar BI platforms.

  • Bachelor's degree in Statistics, Economics, Mathematics, Marketing Analytics, Data Science, or a related quantitative field.

Preferred Qualifications

  • Hands-on experience with paid search platforms such as:

  • Google Ads

  • Microsoft Ads

  • Search Ads 360 (SA360)

  • Experience with one or more of the following:

  • Incrementality Testing

  • Media Mix Modeling (MMM)

  • Multi-Touch Attribution (MTA)

  • Experience using AI or GenAI tools to improve analytical workflows, reporting, or research.

  • Experience working in consumer-focused digital marketing environments.

What Makes Someone Successful in This Role

We're looking for someone who:

  • Thinks like a strategist, not just a report builder.

  • Can explain complex analyses to both technical and non-technical audiences.

  • Enjoys solving ambiguous business problems with data.

  • Challenges assumptions and validates findings before making recommendations.

  • Collaborates effectively across marketing, analytics, and leadership teams.

  • Is comfortable influencing decisions without directly owning budgets.

Technology Doesn't Change the World, People Do.®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.

All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

How this job compares

Set against the 4,803 open Data Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • Virginia median$131–187K/yr306 salary ranges
  • US median$65–77/hr121 hourly ranges
Openings
Olive Jobs lists 389 open Data Scientist jobs in Virginia and 4,803 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,182 postings).
Education
This posting asks for a bachelor's degree; 2,342 of the 4,803 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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