The company is looking to solve the problem of increasing productivity and efficiency of the business through data-driven strategies.
Requirements
- Expert-level SQL proficiency with experience in Snowflake, dbt, and Looker
- Advanced Python programming with demonstrated expertise in data science libraries (numpy, pandas, matplotlib, scikit-learn)
- Strong foundation in statistics and mathematical principles underlying data science algorithms
- Extensive experience in developing and deploying machine learning models
- Experience in establishing and implementing DataOps and MLOps best practices
- Expertise working experience with programming languages like Python, R, and SQL
- Solid understanding of statistics, probability, and machine learning
Responsibilities
- Research, design, and implement Machine Learning algorithms to solve complex problems
- Communicate complex concepts and statistical models to non-technical audiences through data visualizations
- Develop and deploy machine learning models
- Establish and implement DataOps and MLOps best practices
- Design data modeling processes
- Create algorithms and predictive models to extract insights
- Analyze data to increase productivity and efficiency
Other
- BS or equivalent plus 3 years experience
- MS/Ph.D. or equivalent; no experience required
- Excellent communication skills, particularly in explaining technical concepts to non-technical audiences
- Experience in building and maintaining stakeholder relationships across all organizational levels
- Track record of identifying and leading high-impact data science initiatives
