Data Scientist

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

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Skills and Requirements

• 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.
  
  - Experience with Snowflake and Snowpark preferred.

• Experience working with Azure Dev Ops;
  Sprint Agile projects preferred.

• Experience with analysis within the retail industry is a plus.