Responsibilities:

● Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes.

● Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems.

● Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions.

● Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations.

● Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner.

● Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making.

● Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines.

● Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment.

● Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies.

● Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results.
 
Mandatory Qualifications:

● 7-9 years experience in a data science role, with a track record of delivering impactful solutions in a production environment.

● Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.

● Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.

● Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows.

● Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).

● Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals.

● Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.

● Proven experience in driving data-driven decision-making processes and influencing strategic initiatives.

● Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.

● A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies.

Lead Data Scientist in Bengaluru (UID-11440)

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