• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Jul 2022

Core responsibilities

• Work directly with application/product teams to define, develop and implement the right ML solution for the problem at hand.

• Come up with new solutions for solving automotive industry business problems.

• Define the correct evaluation metrics for offline and online evaluation. Creating and tracking accuracy and performance metrics.

• Incorporating new data sources and implementing creative methodologies to improve model performance.

• Helping build production systems that take inputs from multiple models and support decision making.

• Should be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.

• Should consistently bring strong, data-driven business and technical judgment to decisions.

Required Qualifications

• Masters, PhD in Data Science, Mathematics, Operations Research or related field.

• The right candidate has a background in probability and statistics, applied mathematics, or computational science and a history of solving difficult problems with good business impact using a scientific approach.

• Experience working with ML algorithms and frameworks.

• Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.

• 5+ years of hands-on experience with analytics, data science and big data experience in a business context.

• Experience in programming in Python or similar languages and maintaining code repositories in git.

• Experience with data visualization and presentation, turning complex analysis into insights.

Preferred qualifications

• Experience in Recommendation Engine, Natural Language Processing.

• Domain knowledge of automotive industry.

• Enjoys discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required.

• Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives.

• Ability to work collaboratively across multiple products and application teams.

• A willingness to learn, share and improve.