Senior Data Science Manager, (Ref: 190241)

Job Title: Sr Data Science ManagerSalary: $160,000-$185,000 + BonusLocation: Midtown Manhattan (Hybrid)Industry: RetailOur client is a prominent player in the Apparel sector, committed to fusing fashion with cutting-edge data and technological solutions. Situated in New York, this organization is on the lookout for a Data Science Manager to drive their Operations Intelligence initiatives within the Data & Analytics department. This critical role is pivotal in leveraging advanced analytics, predictive modeling, and state-of-the-art Generative AI technologies to bolster decision-making across key operational areas such as Planning, Supply Chain, Sourcing, Sales, and Logistics.The selected candidate will oversee the integration of data science methodologies into essential operational workflows, aiming to automate processes, improve visibility, accurately forecast business dynamics, and facilitate strategic planning through insightful data analysis.RequirementsA minimum of 6 years of experience in the field of data science, with at least 2 years in a leadership or product-related role.Proven ability to apply analytics in complex operational environments such as planning, supply chain, and sourcing.Strong expertise in Python and SQL, along with a solid grasp of cloud-based data ecosystems.Experience with advanced modeling techniques, including forecasting, optimization, and classification.Familiarity with Generative AI technologies or LLMs, combined with a keen interest in leveraging these for practical business applications.Excellent business acumen and communication skills, facilitating effective collaboration between data insights and strategic goals.Key ResponsibilitiesDesign and implement a variety of predictive and prescriptive analytics that enhance strategic decision-making throughout operational functions.Lead projects focused on transforming data processes, shifting from cumbersome manual reporting to automated, scalable solutions.Collaborate with leaders across various business units to identify and prioritize impactful data analytics opportunities, translating them into effective data science solutions.Encourage a culture of innovation by mentoring a dedicated team of data scientists, emphasizing effective execution and tangible results.Set up and manage systems that deliver timely, actionable insights, thereby promoting proactive planning and effective disruption management.Promote automation and explore innovative technologies to streamline workflows, including the testing and application of Generative AI tools to enhance business responsiveness.

Created: 2025-10-02