Data Science Manager - Machine Learning/Artificial Intelligence (4-8 yrs)

Job Description :

Responsibilities :

- Develop and execute the data science strategy aligned with overall business objectives.

- Identify opportunities to leverage AI/ML to solve critical business problems and create competitive advantage.

- Build and maintain strong relationships with business stakeholders to understand their needs and translate them into data-driven solutions.

- Recruit, develop, and mentor a high-performing data science team.

- Foster a collaborative and innovative culture within the team.

- Assign tasks, set priorities, and monitor team performance.

- Oversee the end-to-end model lifecycle, from data ingestion and exploration to model development, deployment, and monitoring.

- Ensure the quality, accuracy, and reliability of data-driven insights and models.

- Drive the adoption of AI/ML models into production and measure their impact on business outcomes.

- Provide actionable insights and recommendations based on data analysis to inform business decisions.

- Collaborate with cross-functional teams to implement data-driven solutions.

- Measure the impact of data science initiatives on business performance and ROI.

Requirements :

- Proven track record in leading and delivering successful data science projects with measurable business impact.

- Strong technical expertise in data mining, statistical modeling, machine learning, and natural language processing.

- Proficiency in Python programming and SQL for data manipulation and analysis.

- Experience with a variety of machine learning algorithms and techniques (supervised, unsupervised, reinforcement learning).

- Demonstrated ability to build and lead high-performing data science teams.

- Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences.

- Strong analytical and problem-solving skills with a data-driven mindset.

- Ability to thrive in a fast-paced, dynamic environment.

Desired Skills :

- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).

- Knowledge of big data technologies (e.g., Hadoop, Spark).

- Experience with data visualization tools (e.g., Tableau, PowerBI).

- Domain expertise in specific industry sectors (e.g., finance, healthcare, retail).