4 дня назад
Senior Decision Scientist (AI)
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
Senior Decision Scientist (AI) (Retail Analytics/Python/SQL): Translating retail sales and customer data into actionable insights, dashboards, and strategic recommendations for wearable products across physical stores, e-commerce, and omnichannel channels with an accent on sales funnel optimization, quantitative analysis, and stakeholder management. Focus on analyzing store performance, conversion, inventory turnover, pricing, promotions, and channel effectiveness while building automated analytics tools and forecasting solutions.
Location: London, hybrid with onsite work 2–3 days per week
Company
is a strategic AI partner serving Fortune 500 companies and helping enterprises improve decision-making.
What you will do
- Translate complex retail and sales data into actionable insights and present recommendations to senior leadership.
- Build and maintain dashboards and reporting tools for KPI tracking and real-time sales performance visibility.
- Apply quantitative analysis and data visualization across the retail sales funnel.
- Analyze store-level sales, conversion rates, inventory turnover, customer segmentation, pricing, promotions, and channel performance.
- Partner with sales, retail operations, marketing, product, and account teams to define high-impact use cases.
- Improve analytics processes through automation, tooling enhancements, and best practices.
Requirements
- Senior-level experience in decision science, data science, analytics, or a related field.
- Proficiency in AI tools, SQL, and Python for data analysis and automation.
- Experience with relational databases and statistical methods such as hypothesis testing, forecasting, and causal inference.
- Understanding of retail operations, consumer sales, and omnichannel strategies.
- Ability to connect data insights to business strategy and communicate clearly with non-technical and executive stakeholders.
- Experience collaborating across multiple functions and managing stakeholder relationships.
Nice to have
- Familiarity with wearable technology products and their sales dynamics.
- Experience with supply chain analytics and inventory optimization.
- Exposure to machine learning models for sales forecasting or customer segmentation.
- Experience in fast-paced, high-growth environments or consumer electronics.
Culture & Benefits
- Collaborative environment focused on data-driven decision-making and customer impact.
- Opportunity to work with sales, retail, marketing, product, and leadership stakeholders.
- Work on next-generation wearable products across physical retail, e-commerce, and omnichannel experiences.
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