Senior Manager-Data Science

Key Responsibilities:

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.

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.

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.

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.

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.

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.

Qualifications:

• Education:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s or Ph.D. preferred.
• Experience:
• 7+ years of experience in data science or a related field.
• 3+ years in a leadership or managerial role within a data science team.
• Proven track record of delivering impactful data science solutions in a business context.
• Technical Skills:
• Expertise in statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to translate complex technical concepts into actionable business insights.
• Strong organizational and project management skills.

Preferred Qualifications:

• Experience in (specific industry or domain relevant to the company).
• Knowledge of deep learning, NLP, or other advanced AI techniques.
• Experience with Agile methodologies and project management tools.