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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and analytics with a strong focus on experimentation, causal inference, and attribution. Proven ability to lead teams, optimize marketing strategies, and communicate effectively across various stakeholders.
Highest-signal resume keywords
Data Science LeadershipCausal InferenceSQL ProficiencyPython ProficiencyMarketing Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAnalyticsExperimentationAttributionIncrementality TestingReportingCausal InferenceTeam ManagementHiringDevelopment
Soft Skills
Clear CommunicationGood JudgmentProactive AnalysisCollaborationChallenging Assumptions
Tools & Technologies
AI ToolsMarketing Analytics Tools
Certifications & Qualifications
PhD in StatisticsMaster's Degree in EconomicsMaster's Degree in Computer Science
Industry Keywords
Marketing ChannelsDirect MailPaid SearchSocial MediaVideo MarketingMobile MarketingEmail MarketingBrand CampaignsLending Partnerships
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead a team of analysts and data scientists embedded with each marketing channel
- Center experimentation in the team's work and decide which cross-channel tests are worth running
- Ensure test results influence future marketing decisions
- Guide analysis explaining channel performance changes and recommended marketing actions
- Encourage proactive analysis identifying problems and opportunities
- Maintain high standards for incrementality testing, attribution, and measurement quality
- Set the team's roadmap with marketing, finance, and product leaders
- Bring business context into the team's priorities
- Hire and develop a team that marketing leaders treat as a partner
- Partner with Upstart marketing leaders to optimize company growth
- Work on marketing analytics across direct mail, paid search and social, video, mobile, email, brand campaigns, and lending partnerships
Requirements
What you’ll need- 10+ years in data science and analytics, including 5+ years managing teams of analysts and data scientists
- Technical depth in reporting, experiments, causal inference, and attribution
- Enough SQL and Python to check the team's work
- Record of hiring well and developing people into more senior roles
- Good judgment in ambiguous, greenfield areas
- Clear written and verbal communication with marketing, finance, product, and technical audiences
- Willingness to challenge senior leaders when evidence does not support their plan
- A PhD or master's degree in statistics, economics, computer science, or another quantitative field (preferred)
- Experience bringing AI tools into analysis and reporting work (preferred)
- Must be able to work in US East/West Coast time zones
- For Canada-based roles, Quebec is excluded
Benefits
Comp & perks- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible US employees
- Comprehensive medical, dental, vision, and wellness coverage/resources
- Supplemental health coverage for Canada
- Health Savings Account contributions for eligible US plans
- Life insurance and disability coverage
- Paid time off, sick leave, and company holidays
- Paid family and parental leave
- Family-centered fertility, parenthood, and caregiving benefits
- Employee Assistance Program offering mental health support and life-centered resources
- Financial planning tools and financial concierge service for US employees
- Annual wellness allowance
- Annual productivity allowance for relevant tools and resources
- Team events, all-company updates, and employee resource groups
- Catered lunches and stocked micro-kitchens at Bay Area, Austin, Columbus, and New York City offices
