Director, Data Science

Innovien

Job Description:
A Global Partner of ours in the technology & software solution services for human capital industry space is seeking a Director of Data Science to join a brand new Analytics organization. They will be the right-hand man to the Head of Data Science, helping mentor a team of Data Scientists while also working hands on, collaborating with business leaders to help develop new ways to meet objectives, and utilizing cutting edge techniques and tools using data. This person will have the opportunity to come in and make a huge impact while helping to help build out this team from the ground up. This is a direct hire opportunity, must be local to Alpharetta, GA or Miami, FL. Apply today to connect with our team for more details!

Requirements:
• 5+ years of Data Science experience with at least 1 year of leadership experience
• Expertise applying data science techniques on large scale data sets i.e.
o machine learning to solve clustering classification, regression, anomaly detection problem statements
o optimization or simulation techniques to solve prescriptive problems
• Experience with cloud database technologies and developing solutions on cloud computing services
• Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts
• Experience in agile and enterprise environments

Nice to have:
• Python, R, or SQL experience
• Knowledge with dashboarding tools i.e. Tableau, Alteryx, or Dash
• Knowledge with MLOps infrastructure, such as Databricks or MLflow

Responsibilities:
• Mentor teams creating interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics solutions, deployable into production for use by the business
• Provide guidance as teams hypothesize and engineer features by using business acumen to find ways to combine internal and external data sources to solve problems
• Share passion for data science with broader enterprise community, identify and develop long-term processes, frameworks, tools, methods, and standards
• Collaborate, coach, learn with, and foster a growing team of data scientists

We use E-Verify to confirm U.S. Employment eligibility.

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