Job Title: Senior Data Science Manager
Job Overview
The Senior Data Science Manager is responsible for leading and overseeing the data science function within the organization, driving complex analytical projects, and delivering strategic insights to support business objectives. This role involves managing a team of data scientists, developing advanced models, and ensuring the alignment of data science initiatives with organizational goals.
Responsibilities
- Lead and manage a team of data scientists, providing strategic direction, mentorship, and performance management.
- Develop and implement data science strategies and initiatives to address complex business challenges and drive growth.
- Oversee the design, development, and deployment of advanced analytical models, machine learning algorithms, and statistical analyses.
- Collaborate with senior leadership and cross-functional teams to understand business needs and translate them into data science solutions.
- Manage the end-to-end lifecycle of data science projects, including scoping, execution, and delivery, ensuring alignment with business objectives.
- Ensure the accuracy, scalability, and effectiveness of data science solutions, implementing best practices for model development and data management.
- Communicate complex data science concepts and results to executive and non-technical stakeholders, providing actionable insights and recommendations.
- Drive innovation by staying abreast of industry trends, emerging technologies, and best practices in data science and analytics.
- Manage project budgets, timelines, and resources, ensuring efficient and effective execution of data science initiatives.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree or higher preferred.
- 8+ years of experience in data science, with at least 3 years in a senior leadership or managerial role.
- Proven expertise in machine learning, statistical modeling, and advanced data analysis techniques.
- Advanced proficiency in data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, Scikit-Learn).
- Extensive experience with data visualization and reporting tools (e.g., Tableau, Power BI).
- Strong leadership and team management skills, with a focus on developing and guiding data science professionals.
- Excellent analytical and problem-solving abilities, with a track record of delivering high-impact data science solutions.
- Exceptional communication and presentation skills, with the ability to effectively convey complex information to diverse audiences.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies is a plus.