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. Provide feedback to product team to improvise the products. 

·      Apply data science/ML forecasting techniques to solve complex business problems is a must have 

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

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

·      Deploy models into production  

·      Perform exploratory data analysis to define analytical models  

·      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 Degree in a relevant field from a top-tier university; Advanced Degree (Masters) in a relevant field is a plus    

·       6+ 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, forecasting concepts   

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

·       Knowledge of and experience working with data architectures, data models, and data security and data governance   

·       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, such as 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, 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 

·       Highly self-motivated, energetic, passionate team-oriented personality and working style  

·       Strong analytical background combined with solid business experience 

·       Demonstrated ability to work effectively across time zones 

Preferred:

Bachelor’s Degree in a relevant field from a top-tier university. 

At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We provide our professionals with a variety of learning and networking opportunities, some of which are:

• Intensive trainings on latest technologies from eminent external trainers.
• Internal trainings and workshops.
• Subscriptions to prominent online training platforms, such as Lynda.
• Hackathons and tech challenges to exercise your front-end skills.
• Freedom to adopt and use the latest technologies in your live projects.
• Travel opportunity (wherever possible) to work at the client’s location or at our global offices.