Our company is looking to solve customers' problems through innovative products and services by developing advanced analytics models and informing internal business operations and strategy.
Requirements
- Proven experience applying descriptive, predictive, and prescriptive statistics to real-world problems.
- Experience in general programming language, e.g., Python.
- Experience querying relational databases using SQL.
- Generalized linear models, time series models, and forecasting techniques.
- Linear and mixed integer optimization and discrete event simulation.
- 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.
Responsibilities
- 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.
Other
- Bachelor's degree in a related discipline and 2 years' experience in a related field.
- Strong problem-solving skills.
- A drive to learn and master new technologies and techniques.
- Degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field.
- Requires physical ability and mental acuity to execute the duties of the position successfully within required timeframes in order to meet business requirements.
