Vacancy expired!
Yoh is seeking a
Data Scientist to support our Retail Client in Saint Louis, MO for a direct hire opportunity. You will have the opportunity to join our client's rapidly growing Data Science Team! This role will be responsible for leading advanced analytics projects using big data and advanced data science method & technologies supporting our client's innovation and business goals. Responsibilities- Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs.
- Design and develop data models to predict business outcomes or future impact of decisions.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
- Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
- Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems.
- Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
- Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.
- Participate in presentations and communicate results of analysis and findings.
- Collaborate with information technology or external vendors in the deployment of insights through company applications.
- Support our client's data science governance maturity, by contributing to development of analytics governance, best practices, and methodologies.
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Graduate degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science, or equivalent experience.
- 4+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
- 4+ years of experience in modeling and statistical analysis of large data sets in data science roles, involving data extraction, analysis, statistical modeling, and communication.
- Knowledge of SQL and RDBMS.
- Strong domain knowledge in query languages, programming languages and statistical computing.
- Prior experience leveraging cloud computing solutions and Alteryx preferred.
- Experience with mixed integer linear programming and CPLEX is preferred.
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
- Ability to communicate well, form strong partnerships and powerfully convey their recommendations in order to gain action on their insights.
- Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines.
Vacancy expired!