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.0-12 months 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.Skills Required
Data Science, Python