Data Science Senior Manager

Job description

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the company's overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: • Lead, mentor, and develop a team of data scientists. • Foster a culture of innovation, collaboration, and continuous learning. • Set clear goals and performance expectations for the team. 2. Strategy and Vision: • Define and implement the data science strategy aligned with the company's objectives. • Identify and prioritize data science projects that drive business value. • Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: • Oversee the development and deployment of machine learning models and algorithms. • Ensure best practices in data modeling, coding, and experimental design. • Provide technical guidance on complex data science projects. 4. Collaboration and Communication: • Work closely with business leaders to understand their needs and translate them into data science initiatives. • Communicate findings and recommendations to both technical and non-technical stakeholders. • Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: • Manage multiple data science projects, ensuring timely and successful delivery. • Allocate resources effectively and balance team workloads. • Monitor project progress and make adjustments as needed. 6. Performance Measurement: • Develop metrics to measure the impact and effectiveness of data science initiatives. • Continuously evaluate and refine models and strategies based on performance data. • Report on key performance indicators to senior management. Education: o Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's or Ph.D. preferred. Experience: o 10+ years of experience in data science or a related field. o 3+ years in a leadership or managerial role within a data science team. o Proven track record of delivering impactful data science solutions in a business context. Technical Skills: o Expertise in statistical analysis, machine learning, and predictive modeling. o Proficiency in programming languages such as Python, R, or SQL. o Proven experience / Subject Matter expert in one or more of the following: Causal modeling / experimentation Price elasticity / pricing models Forecasting / time-series models Optimization or classical ML algorithms Recommendation o Experience with data visualization tools like Tableau, Power BI, or similar. o Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: o Strong analytical and problem-solving abilities. o Excellent communication and presentation skills. o Ability to translate complex technical concepts into actionable business insights. o Strong organizational and project management skills. Required Skills Sql, Python, Statistics, Machine Learning, Deep Learning, Data Science, Forecasting, Causal Inference, Recommendation, Pricing, Price Elasticity, Revenue Growth Management