Job Location: Detroit, MI
Overview:
JOB DUTIES
Knowledge
Skills
Education
Experience
Working Conditions
The Data Scientist I is responsible for• Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing• Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; • Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms;• Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives;• Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Data Scientist I is the subject matter expert with an in depth knowledge of quantitative methods and diligent knowledge of data sources and tools.
Responsibilities:
JOB DUTIES
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Presents findings and analysis for use in decision making
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
- Prioritizes tasks and meets project deadlines in a fast paced work environment
- Perform other duties as assigned
- Conform with all company policies and procedures
Qualifications:
Knowledge
- Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
- Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
- Ability to design and implement model documentation and monitoring protocols
- Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
Skills
- MS Office required
- Proficient in Python or SAS required
- Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
- Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
- Ability to identify and seek needed information/research skills
- Analytical thinking skills
- Ability to interact collaboratively with internal and external customers
- Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
- Strong problem solving skills
Education
- Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required
Experience
- 0-2 years as Data Scientist or similar quantitative field required
Working Conditions
- Normal office environment
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