Overview of the role:

Acceleration of automotive division’s strategy of being a data driven organisation and feeding advanced analytics models to CRM, Brand, marketing and Digital teams.

What you will do:

• Work independently on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
• Designing new means of communication of descriptive and predictive modelling results through data visualizations, dashboards, apps.
• Hands-on programming skills and ability to utilize a variety of data, analytics software, coding languages, and statistical tools. Deep experience with at least one of Python, PySpark, Scala or R, and SQL (mandatory). 
• Expected to develop, use and deploy statistical models such as: Generalized linear models, time series models, forecasting techniques, cluster analysis, anomaly detection, descriptive statistical techniques, statistical diagnostic techniques (e.g., significance testing, model fit, etc.)
• Create supervised and unsupervised models, including decision trees, KNN models, and neural nets; and standard ML libraries.

Skills

Required Skills to be successful:

• Python Programming.
• Experience in using Databricks platform.
• Experience in building Supervised and unsupervised Machine Learning Models.
• 6-8 Years of experience Or 5-6 + Masters Degree.
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About the Team:

You will be reporting to Sr. Manager - Advanced Analytics

What equips you for the role:

• BS in Statistics, Computer Science or other related field
• 6-8 years of experience working in the Data Science or Machine Learning Engineering space with hands-on experience in building and deploying advanced analytics models on cloud platforms. Proven skills in various programming and database languages, such as Python, PySpark, SQL. Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors
• Experience working on data science projects in a business or academic setting
• Demonstrated capability building accurate predictive and other statistical models
• Strong knowledge of statistics
• Advanced Python programming
• Demonstrated business and strategy acumen