Senior Data Scientist - Marketing & Customer Analytics

Pittsburgh, PA (On-site)

$72K/yr – $158K/yrSenior Level5+ years expFull time

Posted 3 months ago

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Job Summary

Drive valuation modeling and end-to-end analytics to optimize marketing budgets and decisions.

  • Own the full analytical lifecycle and translate data into measurable business cases.
  • Must-have: 5+ years in quantitative modeling or data science with advanced analytics background.
  • Standout: Expertise in marketing valuation concepts (LTV, incremental value) and cross-functional stakeholder communication.

Job Description

Responsibilities

  • Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
  • Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
  • Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
  • End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
  • Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.

Requirements

  • Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
  • Education: Masters
  • Certifications: No Required Certification(s)
  • Licenses: No Required License(s)
  • 5+ years of industry-relevant experience
  • In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Preferred

  • Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
  • Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
  • Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
  • Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
  • Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
  • Strong attention to detail.

Benefits

  • PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
  • In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
  • To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.
  • Disability Accommodations Statement
  • If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
  • At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
  • Equal Employment Opportunity (EEO)
  • PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
  • This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
  • California Residents
  • Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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PNC

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Pittsburgh, Pennsylvania, USA
63K employees (828 in marketing)
58% recommend to a friend
65% CEO approval

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26.7M
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$2M
Traffic Source Mix
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Direct
73.8%
Referral
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Social
0.1%
Paid
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Headcount Trend

Current headcount: ~63.4K

Marketing Team

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661 (1% of company)
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