Data Science Senior Manager

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.

• 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.

• 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.

• 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.

• 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.

• 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.

Qualifications:

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.