Insight Global is seeking a ML Engineer for on of our clients in Richmond VA. This position is hybrid and will require some onsite.
40% of Job: Develop and maintain various data pipelines and models using both internal and external data sources including validation and champion strong data governance practices.
30% of Job: Meet with business to define requirements, objectives, and metrics. Collaborate with Data Team members to deliver on business data needs.
30% of Job: Data Modeling: Data quality validation for applications, reporting and analytics.
Salary 130K- 135K
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. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
here.
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https://insightglobal.com/workforce-privacy-policy/ .
Minimum of 3 years experience working with large, complex data systems to aggregate, organize, and prepare data for use in business analysis
minimum of 3 years experience using relevant software packages for statistical analyses and visualization (SQL, R, Spark, Python, Tableau/ Power BI or Equivalent Programming Language); minimum of 1 year experience working with Classification ML model.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.