Senior Data Scientist

Responsibilities

• Develop and implement advanced analytics and machine learning models to solve complex business problems.
• Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
• Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs.
• Achieve the accuracy, quality, and scalability of data science solutions.
• Assist in the creation and evolution of state-of-the-art MLOps implementations.
• Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities.
• Provide actionable insights and recommendations to senior leadership based on analytical findings.
• Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue.
• Design and implement testing and experimentation strategies, including A/B testing and controlled experiments.
• Analyze results from experiments to measure the effectiveness of business strategies.
• Develop guidelines and best practices for consistent and reliable experimentation results and monitoring.
• Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable.
• Establish and maintain data governance practices to ensure data quality, consistency, and security.
• Advocate for best practices in data management.
• Mentor junior data scientists, providing guidance on best practices and technical problem-solving.
• Foster a collaborative and innovative team culture, promoting continuous learning and professional development.
• Communicate complex analytical concepts and insights to non-technical stakeholders, including executives.
• Develop and deliver presentations, reports, and dashboards to convey data-driven insights.
• Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions.

Qualifications

• Master’s degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 5 years of experience in data science, analytics, or a related field.
• Proven track record in developing and deploying machine learning models and advanced analytics solutions.
• Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks.
• Strong problem-solving skills and strategic thinking ability.
• Excellent communication skills for explaining technical concepts to non-technical audiences.
• Strong interpersonal skills for building relationships with stakeholders.