HNI Corporation is a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. We pride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.
As a member of the Decision Science team, a Data Scientist plays a crucial role in building HNI’s data science practice in Chicago. In this role, you'll tackle cross-functional and high-profile business problems that add value and establish competitive advantages for HNI. As a key role in a growing department, you and the team will also define and develop end-to-end data science processes that will enable the business to make data-driven decisions using different machine learning techniques, from proof of concept to deploying models in production.
Essential Duties & Responsibilities
-
Uses SQL, R & Python and other data tools to analyze internal and external data in order to build predictive models and provide insights to business partners.
-
Present highly technical information to business units not versed in such technicalities.
-
Interpreting data and analyzing results using statistical techniques and providing on-going reports in a timely and professional manner.
-
Developing and implementing databases, data collection systems, data analytics, and other strategies that will provide efficient data and reporting solutions.
-
Responsible for identifying business trends from big data sources to enable faster and better decision making.
Experience and Required Skills
-
3+ years of advanced analytic/data science/machine learning experience
-
MS/PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field
-
Proven track record of end-to-end experience in model development, testing, implementation and performance tracking
-
Hands-on knowledge of SQL, R, Python and Spark
-
Familiarity with Linux and Azure (or other Cloud environments)
-
Excellent communication, teamwork, and consulting skills.
-
Strong analytical and problem-solving skill set.
We look forward to hearing from you!
