Senior Data Scientist
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Job Description
Data Scientist Sênior developing advanced analytics solutions for pricing and optimization at Keyrus. Collaborating with cross-functional teams to enhance business performance with data-driven strategies.
Responsibilities:
- Develop and implement advanced analytics focused on pricing and optimization
- Build predictive models to identify patterns, trends, and business opportunities
- Develop and evolve dynamic pricing models
- Apply segmentation, clustering, and statistical modeling techniques
- Work with price elasticity, churn, and retention models
- Apply causal inference techniques to support business decisions
- Use optimization methods (mathematical programming, heuristics, simulations) to define pricing and discounts
- Design and analyze experiments (A/B testing)
- Translate analyses and insights into actionable strategic recommendations
- Collaborate with teams such as Marketing, Sales, Product, and Engineering
- Ensure practical application of models within the business
- Stay up to date with trends and advancements in data science, especially in the Azure ecosystem
Requirements:
- Solid experience as a Data Scientist (senior level)
- Strong proficiency in Python
- Experience developing pricing and optimization models
- Knowledge of: price elasticity
- Churn and retention models
- Causal models
- Optimization techniques (mathematical programming, heuristics, simulations)
- Experience with experimentation (A/B testing)
- Ability to work hands-on and strategically
- Experience translating data into business decisions
Benefits:
- Diversity and inclusion in hiring
- Career opportunities at Keyrus
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