Manager Data Science

By continuing to use and navigate this website you are agreeing to the use of cookies Accept Close Press Tab to Move to Skip to Content Link Search by Keyword Search by Location Search by Keyword Search by Location Loading Team Location Type Grade Create Alert x Select how often in days to receive an alert Start Please wait Manager Data Science Data Science Manager - Data Analytics Purpose Overall Relevance for the Organization Driving Data science solutions across Planning Consumer Engagement Pricing Merchandising Operations verticals at adidas e-commerce you are responsible delivering cutting-edge data driven data science services to stakeholders enabling them to make decisions generating value to business Based on internal external data sources you manage the creation and generation of ML and statistical based solutions forecast models data capabilities insights that help adidas better understand the consumer expand reach increase customer engagement and advocacy and ultimately drive sales In collaboration with business team you drive and execute EM Digital Data Science strategy focussing on Emerging markets supporting planning teams in key KPIs relevant to drive net sales for E-commerce business Key Responsibilities Data Science Develop and deliver forecasting pricing models for KPIs critical to business planning and financial reporting Utilize time series-based algorithms e g Prophet ARIMA and variants machine learning algorithms e g XGBoost LightGBM and deep learning algorithms e g LSTM GRU DeepAR TCN Chronos TFT Hands-on experience with forecasting libraries e g NeuralProphet GluonTS Darts Nixtla Sktime or StatsForecast Develop and validate causal inference models to estimate treatment effects using observational data Utilize AI ML frameworks and tools such as MLFlow TensorFlow DevOps function Should be curious to learn experiment latest developments in Data Science and AI reasearch Design and build MMM models to quantify the ROI of marketing channels Operationalize existing data science models with knowledge of model deployment on cloud based platforms like Databricks AWS Azure Apply expertise in various AI ML techniques including deep learning NLP recommender systems reinforecement learning and LLMs Scale existing models to different geographies ensuring they are adaptable and effective across diverse regions Conduct data feasibility analysis including data preparation and cleaning to ensure high-quality inputs for modeling Observe trends from data and leverage these trends to support feature engineering and enhance model performance Work closely with local and global teams in Planning Marketing Operations and Data Engineering to ensure seamless integration of data science solutions Clearly translate complex business problems into data science and analytics solutions incorporating feedback from business stakeholders Maintain quality set good development practices and define standards that keep the focus on the right things Support deep-dives ad-hoc analysis and contextual dashboards with relevant platforms and channels Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights Collaborate with the internal analytics team in your area of responsibility on digital analytics to define goals select appropriate KPIs monitor performance and derive trends and opportunities Excellent deck creation skills augemnted with story telling and ability to communicate complex data science topics with simplicity Participate in code reviews brainstorming new use cases mentor j unior data scientists in the team Key Relationships EM Hub cluster e-com team EM Function teams Finance DNA Brand Sales SCM Global Digital teams Global BI Analytics teams Global Digital Data Science teams External vendors Requisite Education and Experience Minimum Qualifications Bachelor s or Masters degree in computer science Information Technology Mathematics computing Software Engineering or a related field from a Tier-1 college Alternatively an MBA with a focus on Analytics or Data Science specialization is preferred 6 years of experience working in Digital Data Science Digital Analytics Business Intelligence Demand forecasting planning Market mix modeling Causal Inference Pricing analytics customer lifetime value modeling SKU level forecasting Hard Skills Well versed with classification clustering multiclassification segmentation techniques Proven experience with time series algorithms e g Prophet ARIMA Causal Inference Proficiency in machine learning algorithms e g Xgboost LightGBM and deep learning algorithms e g LSTM GRU DeepAR TCN Should have knowledge on LLMs Agentic AI with atleast one POC project developed using these technologies Experience with Databricks AWS services e g S3 EMR SageMaker AWS Lambda is preferred Familiarity with UI tools such as Streamlit Flask FAST APIs Rest APIs Docker containers Hands-on experience with SQL Python Power BI PySpark Excel and building data pipelines writing production ready code Prior experience in Consumer pricing risk recommendation ranking domain within Ecommerce Retail Banking preferred Prior experience with model deplyoyment CI CD pipelines development Prior experience with Fine tuning LLMs validating LLM outputs is good to have Knowledge of tools like Adobe Analytics google Analytics Kibana JIRA Appsflyer Amplitude Jenkins Bitbucket Git is good to have Industry Ideally in apparel fashion shoes or internet retail banking Experience in e-commerce environment Knowledge Soft Skills Ability to efficiently work in a cross-functional organization ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels Excellent communication skills comfortable presenting complex topics to technical and non-technical audience both in person and remotely at various organizational levels A passion for designing and creating new data capabilities tools and frameworks Interest in back-of-house development of analytics capabilities Devotion to accuracy reliability rigor and user-focused design Meticulous high attention to details Creative and energetic team player who has a passion for delivering analytics data insights to drive outcomes for quantifiable improvements in business results and consumer satisfaction Outspoken and Confident Broad understanding of and passion for the sports and fashion entertainment industry Project management skills including the ability to lead projects or work on several projects simultaneously Fluent English both verbally and written Proficient in documenting technical details of solutions creating requirement documents powerpoint presentations AT ADIDAS WE HAVE A WINNING CULTURE BUT TO WIN PHYSICAL POWER IS NOT ENOUGH JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME WE FOSTER THE ATHLETE S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE THIS IS HOW WE WIN WHILE PLAYING FAIR COURAGE Speak up when you see an opportunity step up when you see a need OWNERSHIP Pick up the ball Be proactive take responsibility and follow-through INNOVATION Elevate to win Be curious test and learn new and better ways of doing things TEAMPLAY Win together Work collaboratively and cultivate a shared mindset INTEGRITY Play by the rules Hold yourself and others accountable to our company s standards RESPECT Value all players Display empathy be inclusive and show dignity to all At adidas we strongly believe that embedding diversity equity and inclusion DEI into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage - Culture Starts With People It Starts With You - By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers Job Title Manager Data Science Brand Location Gurgaon TEAM Data State HR Country Region IN Contract Type Full time Number 532747 Date Aug 5 2025 Find similar jobs THROUGH SPORT WE HAVE THE POWER TO CHANGE LIVES 2020 adidas All Rights Reserved