Data Science Manager

Data Strategy & Vision:

• Define and implement a comprehensive data strategy for the Strategic Office Group, focusing on data collection, analysis, interpretation, and visualization to support business objectives.

Team Leadership & Development:

• Build, mentor, and manage a team of data scientists and data analysts. Foster a collaborative environment that promotes skill development, knowledge sharing, and continuous improvement.

Analytical Solution Design:

• Lead the design, development, and implementation of advanced analytical models, dashboards, and reports that provide actionable insights to stakeholders.

• Oversee complex data exploration, statistical analysis, predictive modeling, and segmentation to identify trends, patterns, and opportunities.

Business Partnership:

• Collaborate closely with various business units to understand their data needs, translate business questions into analytical problems, and deliver data-driven solutions.

Data Governance & Quality:

• Work with data governance teams to ensure data quality, integrity, and compliance with internal policies and external regulations.

Tooling & Project Management:

• Evaluate and recommend appropriate data analysis tools, platforms, and technologies to enhance the team's capabilities and efficiency.

• Manage the lifecycle of data science and analytics projects, ensuring timely delivery, adherence to scope, and high-quality outputs.

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.

• Minimum of 5-8 years of progressive experience in data science, data analysis, or business intelligence, with at least 3-5 years in a leadership or management role.

• Proven expertise in statistical analysis, predictive modeling, and data visualization techniques.

• Strong proficiency in programming languages commonly used for data analysis (e.g., Python, R, SQL).

• Extensive experience with data analysis and visualization tools (e.g., Tableau, Power BI, Looker, Excel).

• Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.

• Solid understanding of database management systems and data manipulation.

• Excellent analytical, problem-solving, and critical thinking skills.