Manager, Data Science (Media/Market Research)

Job Description

Role Overview:As a Data Science Manager, you will be responsible for the following key accountabilities:Key Responsibilities:- Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in the 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.Qualifications Required:- PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with a minimum of 8 years of experience as a Data Scientist.- Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.- Strong problem-solving skills and an independent working style.- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.- Proficiency in analytical programming languages such as Python or R, along with their respective ecosystems.- Hands-on experience implementing models in production systems.- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, computer science, and engineering fundamentals such as data structures, software design principles, and testing strategies.Additional Details:- Preferred qualifications include experience in the Media industry, working with cloud-based data services (AWS, Azure, or GCP), and experience with Optimization techniques such as linear programming, integer programming, genetic algorithms, constrained optimization is a plus. Role Overview:As a Data Science Manager, you will be responsible for the following key accountabilities:Key Responsibilities:- Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in the 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.Qualifications Required:- PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with a minimum of 8 years of experience as a Data Scientist.- Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.- Strong problem-solving skills and an independent working style.- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.- Proficiency in analytical programming languages such as Python or R, along with their respective ecosystems.- Hands-on experience implementing models in production systems.- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, computer science, and engineering fundamentals such as data structures, software design principles, and testing strategies.Additional Details:- Preferred qualifications include experience in the Media industry, working with cloud-based data services (AWS, Azure, or GCP), and experience with Optimization techniques such as linear programming, integer programming, genetic algorithms, constrained optimization is a plus.

Keyskills :
Team LeadershipTechnical CommunicationBusiness UnderstandingCommunication SkillsLeadership Experience