4 месяца назад
Data Science Manager (Retail)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Manager (Retail): Leading advanced analytics initiatives and predictive modeling within a large retail environment with an accent on digital product analytics and customer journey optimization. Focus on translating complex business problems into actionable data strategies, mentoring data scientists, and driving data-informed decision-making across cross-functional teams.
Location: Montevideo, Uruguay
Company
is a premier AI services provider that co-creates meaningful impact for clients by aligning human expertise with artificial intelligence, data science, and technology.
What you will do
- Lead the design and implementation of predictive models to optimize customer journeys and digital product performance.
- Analyze large-scale datasets to identify user behavior patterns, friction points, and growth opportunities.
- Partner with product, marketing, and business stakeholders to define data-driven strategies and priorities.
- Translate complex business problems into analytical frameworks and actionable insights.
- Mentor and guide data scientists, fostering best practices in modeling and analytics.
- Improve experimentation frameworks and measurement methodologies, including A/B testing.
Requirements
- Advanced English level (written and spoken).
- Strong experience in Data Science with a focus on product or digital analytics.
- Proven experience building and deploying predictive models such as churn, propensity, or recommendation systems.
- Advanced proficiency in Python or R.
- Solid knowledge of SQL and working with large datasets.
- Experience with experimentation frameworks and A/B testing.
- Leadership or mentoring experience in data teams.
Nice to have
- Experience with AWS, Databricks, or Snowflake.
- Strong business acumen and ability to connect data insights with business outcomes.
Culture & Benefits
- Access to AI learning paths and certifications in AWS, Databricks, and Snowflake.
- Access to Udemy Business for technical and soft skills development.
- Career development plans and mentorship programs.
- Flexible working options.
- Company-provided equipment.
- Special day rewards for personal milestones.
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