Work you’ll do

• 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 optimization problems
• Experience working with deep learning algorithm (good to have)  
• 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 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 Python, PySpark, SQL is must have
• Experience with BI/analytics tools, such as Tableau or similar tools is good to have
• 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 

How you’ll grow

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.