·       Work with Product Managers/Owners to understand how products can be used and should be implemented to solve client problems. 

·       Work with Project Managers to understand client requirements and brainstorm on solutioning it, implement the assets/products as applicable.  

·       Perform exploratory data analysis to understand the data and work with client team to solve the data issues. 

·       Apply data science/ML techniques to solve complex business problems  

·       Explain analytics model behavior / results in the vernacular of the market need  

·       Implement, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Present the optimization accuracy results to the client team. 

·       Deploy models into production  

·       Provide feedback to product team to improvise the products. 

·       Consistently strive to acquire new skills on AI / ML, Cloud, Big Data technologies  

·       Support and coach your team on best coding practices, development tools, and pathfinding and surveys for technologies  

·      Ensure SDLC best practices and standards are followed 

Qualifications and Experience

Required:

·       Bachelor’s/Master’s degree in a relevant field from a top-tier university   

·       3-5+ years’ experience leading / implementing data science solutions    

·       Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors    

·       Deep understanding of data science principles, including machine learning, deep learning and artificial intelligence and assortment and other optimization techniques/concepts. 

·       Analytical mind with proven ability to dissect problems, implement data science solutions, and drive business outcomes   

·       Knowledge of and experience working with data architectures and data models. 

·       Experience developing, implementing and maintaining machine learning and advanced statistical algorithms   

·       Experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work   

·       Proven skills in various programming and database languages i.e., Python, PySpark, SQL   

·       Experience with BI/analytics tools, such as Tableau, PowerBI, or similar tools   

·       Experience using statistical computer languages to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling. 

·       Experience working with data science tools/models i.e., Sklearn , Regression, classification and clustering models 

·       Experience in cloud-based eco-systems such GCP, AWS, or Azure for development and deployment of models   

·       Strong storytelling skills with experience presenting to large technical and non-technical audiences   

·       A desire to take initiative and continuously work on improving the products you are responsible for