Job Title

 

Data Scientist (Manager 1)

 

Job Description

The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist requires an in-depth understanding of how organizational capabilities interrelate across the function or segment.

 

This position will lead the statistical improvement and maintenance of demand forecasting across the DRiV business unit. It supports integrating new technologies and processes the elimination of non-value-added technologies. The Data Scientist develops, maintains, and collects structured and unstructured data sets for modeling, hypothesis-testing, analysis, and reporting. Creates reports, projections, models, and presentations to support strategy and tactics. Decisions are typically related to implementing new/updated programs or large-scale projects for the function, supporting technical/operational procedures and processes, implementing strategic plans, driving goals and objectives, and improving performance while providing input into functions strategy.

 

Key Responsibilities

 

Lead the development, maintenance, and enhancement of DRiV’s demand forecast. Deliver high-quality data science outputs, ranging from foundational research and analytics products to ROI analyses and internal business tools.

 

Required Qualifications
 

Bachelor’s Degree in a quantitative discipline, such as Computer Science, Analytics, Mathematics or Statistics and/or a related field, and 4 or more years of experience. Experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights. Experience developing and validating statistical forecasting models and tools. Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision-makers. Clear oral and written communication skills. Experience working with data cloud infrastructure like AWS, Azure, GCP, Snowflake, etc. Experience performing data management, mining, and manipulation along with analytics. Demonstrated experience with MS Azure Products, Python, SQL, Power BI, Databricks, or similar tools.

 

 

Preferred Qualifications
 

Master's in a quantitative discipline, such as Computer Science, Analytics, Mathematics or Statistics, and/or a related field. Kinaxis Rapid Response certified/experience highly preferred Supply Chain experience.

 

Travel

May require occasional travel.