9 дней назад
Data Scientist - Marketing & Customer Analytics (Marketing Analytics)
94 875 - 172 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist - Marketing & Customer Analytics (Marketing Analytics) (Python/SQL): Developing valuation and forecasting models for customer, offer, and channel economics with an accent on customer lifetime value, marketing measurement, and statistical modeling. Focus on analyzing large datasets, measuring incremental impact, running analytical experiments, and translating findings into marketing investment decisions.
Location: In-office in Pittsburgh, PA; Tysons Corner, VA; or Wilmington, DE, United States
Salary: $94,875–$172,500 annually, plus incentive eligibility
Company
is a financial services company focused on delivering customer-oriented banking and financial solutions.
What you will do
- Develop, maintain, and apply valuation and forecasting models, including Net Present Value, Customer Lifetime Value, and Offer Economics models.
- Analyze customer, marketing, offer, and channel data to identify trends and actionable opportunities.
- Apply statistical and machine learning techniques to measure performance, estimate incremental impact, and evaluate business trade-offs.
- Manage the analytical workflow from data preparation and exploratory analysis through model validation and performance monitoring.
- Run analytical experiments to identify opportunities for product and process optimization.
- Partner with marketing, finance, data, architecture, engineering, and visualization teams to communicate findings and support implementation.
Requirements
- Bachelor’s degree in mathematics, statistics, economics, data science, engineering, or a related quantitative field; a master’s degree is preferred.
- 3+ years of relevant industry experience in data science, advanced analytics, quantitative modeling, marketing analytics, or a related field.
- Proficiency in Python and SQL.
- Experience with data analysis, data mining, statistical modeling, and machine learning.
- Strong communication skills for explaining analytical results to technical and non-technical stakeholders.
- This is an in-office position, and will not provide employment visa sponsorship or participate in STEM OPT.
Nice to have
- Experience with marketing valuation concepts, including Customer Lifetime Value, Offer Economics, or marketing measurement.
- Exposure to cloud platforms and big data technologies such as Spark or Hadoop.
- Advanced degree in a quantitative discipline.
Culture & Benefits
- Inclusive workplace focused on customer experience, collaboration, respect, and employee contribution.
- Full-time benefits may include medical, prescription, dental, vision, life insurance, disability protection, 401(k) matching, pension, and stock purchase plans.
- Educational assistance, wellness programs, dependent care support, and family-related reimbursement programs may be available.
- Paid time off may include parental leave, up to 11 paid holidays, occasional absence days, and 15–25 vacation days depending on career level and service.
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