Manager, Data Science

4 days ago

Pune Division, India NielsenIQ Full time

As a Data Science Manager you will have following key accountabilities: Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. Educational Background: PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams Communication Skills: Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style. Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Solid in analytical programming languages such as Python or R, along with their respective ecosystems. Hands-on experience implementing these models in production systems. Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. Preferred qualifications Experience in the Media industry Experience working with cloud-based data services (AWS, Azure, or GCP) Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus

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