Job Description
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 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
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
Preferred:
Bachelor’s Degree in a relevant field from a top-tier university.
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.