Required Skills & Experience
- Graduate studies or BS Degree in Data Science, Computer Science, Mathematics, Statistics, or related field.
- 2+ years of experience in large complex data analysis and predictive modeling in a corporate setting
- Experience with designing and building processes with large, complex data sets from multiple data sources
- 2+ years of advanced proficiency in writing complex MS SQL, including aggregate analysis over large complex datasets, multiple joins and query optimization
- Proficient coding abilities in the major programming languages including R and Python
- Experience with "end to end" Machine Learning model development
- Skilled in best practices for data handling and imputation
- Familiar with a variety of ML modeling techniques including limitations and appropriate application of models such as forecasting, logistic regression, random forest, and gradient boost.
- Proficiency with MS Excel and pivot tables/charts.
- Experience visualizing business insights with MS Power BI or other data visualization tools preferred.
- Demonstrates excellent verbal and written communication skills as well as the ability to present complex topics effectively and in a simplified and appropriate manner
- Inquisitive, energetic initiative-taker, able to work independently or collaboratively in a fast-paced team environment.
Nice to Have Skills & Experience
- Experience with Snowflake and Snowpark preferred.
- Experience working with Azure DevOps; Sprint Agile projects preferred.
- Experience with analysis within the retail industry is a plus.
Job Description
Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients and consumers across the US. This individual will be responsible for the following:
- Develop the comprehensive knowledge required to support existing Production models and forecast solutions
- Implement automated processes for efficiently generating and monitoring production forecasting models
- Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment
- Develop ad hoc and statistical analysis to determine trends and significant relationships
- Develop and validates predictive and prescriptive models to identify opportunity for business improvement
- Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria
- Present and communicates complex analyses and content appropriate for the audience
- Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms
- Accountable for ensuring high quality solutions are delivered within project timelines