Assistant Manager, Global Data Science

You connect the dots -

• Understands business needs, business questions and identifies the right analytics capabilities to solve them
• Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division / Global Analytics Leads
• Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders

You are a collaborator -

• Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions
• Work collaboratively with the Division Analytics / Global Analytics team and business partners across geographies located in different time zones.

You are an innovator -

• Drive new value from insights by connecting external and internal data sources
• Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques
• Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc.

Qualifications

What you'll need

• Bachelor degree required [ Masters or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics)
• 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment
• Experience in setting up or managing a data science team is a must [ 2+ years ]
• Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies
• Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc
• Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform
• Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data)
• Experience in supporting and working with multi-functional teams in a dynamic environment
• Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools
• Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity
• Ability to independently plan and execute deliveries and be comfortable in a client / business facing role
• Exceptional communication & collaboration skills to understand business partner needs & deliver solutions.

What you'll need (Preferred)

• Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit
• Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI
• Experience with Databricks, Docker, Azure Data Factory
• Experience with machine learning API on cloud services : Azure, AWS, Vertex AI

Skills Required

Sap, Business Analytics, Project Management, Consulting, Sql