Senior Applied Scientist

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.