Principal Data Scientist - Hyderabad, Telangana, India - Fanatics Inc.

Description

We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans Our Principal Data Scientists work closely with engineering teams, PMs, and cross-functional business units to address challenging problems using techniques from applied statistics, AI/machine learning and/or data mining fields.

• In this position, you will collaborate and lead a team of ML scientists and engineers to spearhead the development of the nextgeneration search relevance and ranking solution.
• Your primary focus will be enabling fans to discover products from the expanding array of products across thousands of ecommerce websites.
• As a Thought leader and Visionary, leverage your strong technical skills, leadership capabilities, effective communication, and adaptability to stay abreast of cuttingedge research in AI and Machine Learning.
• Take charge of building, deploying, and maintaining predictive models in areas such as Search Relevance, Query Understanding and Ranking, LearningtoRank, Personalization, Product Sale Forecasting, and Product recommendation systems for both online and offline platforms.
• Assume the role of a mentor and leader for a small team of accomplished scientists, guiding them in delivering complex models, deep analytical projects, and addressing business problems.
• Manage multiple projects independently with a high degree of autonomy and accountability for success.
• Foster crossfunctional collaboration with diverse teams, including marketing operations, technology, merchandising, procurement, and apparel design/production, to align datadriven solutions with business objectives.
• Collaborate closely with product managers and business teams to comprehend business problems and devise datadriven and MLbased solutions, particularly focusing on improving Search ranking while addressing challenges like cold start and discoverability within the rapidly growing product assortment.
• Effectively communicate analytical solutions to nontechnical stakeholders and senior leadership.

• Your expertise should encompass both traditional and modern machine learning/statistical techniques, spanning Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
• Strong algorithmic thinking and a dedication to empirical research, especially in tackling challenging questions, are essential.
• Effective communication skills are crucial, enabling you to convey complex quantitative analyses, analytic methodologies, and findings in a clear, concise, and actionable manner.
• Experience in designing and evaluating A|B experiments, along with monitoring key product metrics and understanding the underlying reasons for metric changes, is expected.
• Demonstrated proficiency in leading and managing multiple projects, delivering timely results, and excelling in project management aspects such as planning, resource allocation, and execution is essential.
• Exceptional leadership skills, a sense of ownership for outcomes, and the ability to build effective work relationships in crossfunctional areas are highly valued.