7 дней назад
Lead Data Scientist (Marketing Sciences)
66 000GBP
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (Marketing Sciences) (eCommerce/Marketing Analytics): Building data-driven marketing science solutions with an accent on machine learning, causal inference, experimentation, and marketing measurement. Focus on developing marketing mix models, attribution and customer lifecycle models, creating self-serve data products, and leading end-to-end projects while mentoring data scientists.
Location: On-site at Head Office in Enderby, Leicestershire, United Kingdom
Salary: From £66,000 per year
Company
operates an eCommerce business supported by data science, marketing analytics, and customer insight capabilities.
What you will do
- Lead the design, development, and deployment of data science solutions that inform eCommerce marketing strategy and execution.
- Build marketing mix models, predictive models, lifetime value predictions, churn analyses, marketing attribution models, and channel optimisation solutions.
- Partner with marketing teams, agencies, and stakeholders to test, learn, and optimise campaigns using experimental design and causal inference.
- Create dashboards and data products that enable self-serve analytics and real-time marketing insights.
- Drive data quality, model governance, and documentation standards across the marketing science function.
- Manage end-to-end projects and mentor data scientists.
Requirements
- Proven experience in applied data science or analytics, including leadership or mentoring responsibilities.
- Bachelor’s, Master’s, or higher education in Statistics, Computer Science, Data Science, Economics, or a related field.
- Strong expertise in marketing analytics, including marketing mix modelling with Meridian, Robyn, and/or PyMC, multi-touch attribution, and customer lifecycle modelling.
- Proficiency in SQL, Python, R, PySpark, and dashboarding with Power BI or Looker.
- Experience with GeoLift tests, causal inference models, and experimental design.
- Strong foundations in machine learning, statistics, econometric modelling, analytical problem-solving, and communicating complex insights as actionable business strategies.
Nice to have
- Experience in eCommerce, technology, or marketing.
Culture & Benefits
- Company performance-based bonus, Sharesave scheme, and employee product and partner discounts.
- On-site nursery, restaurants, and free on-site parking.
- Digital GP and other health and wellbeing services.
- Apprenticeship opportunities and access to support networks.
- Discounted flexible gym memberships through Wellhub.
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