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Stryker

Data Science Intern - Remote

Columbus, OH · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

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Stryker

Data Science Intern - Remote

Columbus, OH

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

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Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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A map of the United States highlighting the number of Internship Data Science Analytics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Internship Data Science Analytics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist Vice President - Consumer Bank Marketing Analytics

JPMorgan Chase & Co.

Columbus, OH • On-site

$150 - $230/hr

Other

Re-posted yesterday

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


Are you a data scientist who thrives at the intersection of advanced analytics, business strategy, and measurable impact? At JPMorganChase, we believe the best insights don’t just inform decisions — they transform them. Join a team where your work helps shape how we acquire and retain customers, and where you can grow your career alongside the impact you create.

As a Vice President, Marketing Analytics Data Scientist at JPMorganChase within Consumer and Community Banking Data and Analytics, you will lead analytics that quantify marketing effectiveness, optimize multimillion-dollar investment decisions, and influence campaign strategy through rigorous statistical evaluation. You will partner closely with marketing, strategy, and finance stakeholders to translate results into clear recommendations that improve customer and business outcomes.

Job responsibilities
  • Analyze customer quality metrics, including customer lifetime value (CLV) and incrementality, to inform return on investment-based portfolio optimization
  • Lead matched market and geographic A/B tests by designing the testing approach, running analyses, and delivering recommendations on marketing effectiveness
  • Develop and maintain customer lifetime value and discounted cash flow (DCF) frameworks to evaluate different customer acquisition segment types
  • Translate analytical findings into clear, actionable business recommendations and decision-ready narratives
  • Partner with finance on budgeting, forecasting, and cost-benefit analyses for marketing initiatives
  • Collaborate across marketing analytics, test design, strategy, and finance teams while championing an inclusive, high-performing culture
  • Present results, tradeoffs, and recommendations to senior leaders with clarity and precision
  • Provide leadership and mentorship to junior data scientists, promoting rigor, high standards, and continuous learning
Required qualifications, capabilities and skills
  • Formal training or certification on data science concepts and 5+ years applied experience
  • Bachelor’s and Master’s degree in a quantitative discipline such as data science, analytics, mathematics, statistics, physics, engineering, economics, finance, or a related field
  • 5+ years of experience applying statistical methods to real-world business problems
  • 5+ years of hands‑on experience with SQL and at least one analytical programming language (Python or R)
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment and cost-benefit evaluation
  • Hands‑on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Demonstrated experience using AI-assisted development tools to accelerate analysis and code development
  • Experience with data visualization for analysis and executive-level presentations
  • Strong written and verbal communication skills, including the ability to present complex findings concisely to senior stakeholders
Preferred qualifications, capabilities and skills
  • Experience in marketing analytics, ideally within consumer banking, deposits, or financial services
  • Proficiency with Tableau or comparable business intelligence and visualization platforms
  • Demonstrated ability to operate independently on unstructured problems while maintaining strong stakeholder alignment
  • Strong organizational skills with the ability to manage and prioritize multiple workstreams simultaneously
  • Proven ability to build trusted relationships with senior stakeholders and translate business goals into analytical frameworks
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