Data Scientist II

Our Data Scientists are responsible for leading the development of advanced analytics models to solve our customers' problems through innovative products and services; and inform internal business operations and strategy. They will work closely with product, engineering, and our business stakeholders as the subject matter expert on the application mathematical modeling across our family of leading automotive brands. The Data Scientist II works under the direction of Senior Data Science staff and contributes to all phases of an analytics project. The scope of work includes the analysis and preparation of data, the development of specified models, and the compilation of results.
WHAT YOU'LL DO
PRIMARY DUTIES/KEY RESPONSIBILITES

• Under the direction of senior team members, contribute to all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
• Present findings to peers and data science leadership.
• Maintain an awareness of trends in the field and research and suggest new methodologies.

WHO YOU ARE
Required Experience & Specialized Knowledge and skills

• Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and up to 2 years' experience; or 14 years' experience in a related field.
• Ideal candidate will have 2+ years of professional experience as a Data Scientist (not including internships or schooling).
• Must live within a commutable distance of Atlanta and be onsite 2-3 times a week.
• Experience in general programming language, e.g., Python.
• Experience querying relational databases using SQL.
• A drive to learn and master new technologies and techniques.
• Proven experience applying descriptive, predictive, and prescriptive statistics to real-world problems.
• Strong problem-solving skills.
• Strong communication skills, the ability to effectively communicate with different stakeholders and cross functional teams; present data findings and make recommendations.

An understanding of one or more of the following strongly preferred:

• Statistics: Generalized linear models, time series models, and forecasting techniques.
• Operations Research: Linear and mixed integer optimization and discrete event simulation.
• Machine Learning: Common supervised and unsupervised ML models, including decision trees, nearest neighbor models, and neural nets; and a standard ML library, e.g., scikit-learn, TensorFlow.
• Experience with product development strongly preferred.
• Experience creating compelling data visualizations strongly preferred.
• Other duties as needed or required.
• Requires physical ability and mental acuity to execute the duties of the position successfully within required timeframes in order to meet business requirements.
• Degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field.

USD 87,200.00 - 130,800.00 per year
Compensation:
Compensation includes a base salary of $87,200.00 - $130,800.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.