Assistant Manager

By continuing to use and navigate this website you are agreeing to the use of cookies Accept ClosePress Tab to Move to Skip to Content LinkSearch by KeywordSearch by LocationSearch by KeywordSearch by LocationLoading Team LocationType Grade Create Alert xc3 x97Select how often in days to receive an alert StartPlease wait Assistant Manager - Data ScienceDIGITAL ANALYTICS DAta SCientist ASSISTANT MANAGER Area EM Asia-Pacific Global SalesDepartment e-commerceDirect Reporting Line Senior Manager Data Science EM e-comSecondary reporting line Sr Director Planning and Analytics EM e-comSubsidiary country EM HubLocation GurugramGSMS Grade P1Number of Personnel Managed -NACost Center Budget and or Revenue Responsibility EMPurpose Overall Relevance for the Organization Driving Data science solutions across Planning Consumer Pricing 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 businessKey Responsibilities Data Science Solutions Develop and deliver forecasting 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 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 Key Relationships EM Hub 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 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 3 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 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 Experience with Databricks AWS services e g S3 EMR SageMaker AWS Lambda is preferred 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 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 adidas celebrates diversity supports inclusiveness and encourages individual expression in our workplace We do not tolerate the harassment or discrimination toward any of our applicants or employees We are an Equal Opportunity Employer Job Title Assistant Manager - Data ScienceBrand adidasLocation GurgaonTEAM DigitalState HRCountry Region INContract Type Full timeNumber 515462Date Sep 2 2024Find similar jobs 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