Data Scientist
skills WS, Data Scientist, Snowflake, SQL
Required Education & Experience
• Education: A Bachelor's degree in a quantitative field (Engineering, Computer Science, Statistics, Economics, Mathematics, etc.). Internship experience is considered valid.
• Experience: 1-2 years of professional experience utilizing quantitative analysis.
Technical Skills:
o SQL: Proficiency in writing queries for data extraction.
o Cloud Data Platforms: Experience with AWS and Snowflake.
o Data Visualization: Strong skills in Power BI for building dashboards.
• Soft Skills: Strong initiative, interpersonal skills, and the ability to communicate effectively.
Nice-to-Have (Top Candidate Qualifiers)
• A Master's or PhD in a highly relevant field (Data Science, Predictive Analytics, Applied Statistics, etc.).
• Experience with other cloud technologies (Azure, Google Cloud).
• Evidence of continuous learning in the analytics field.
• Experience with Power Apps.
Key Responsibilities
• Data Extraction & Analysis: Write SQL queries to extract data and analyze trends to support business needs.
• Dashboard & Tool Development: Build, maintain, and revise Power BI dashboards and database schemas.
• Data Validation: Ensure the accuracy and integrity of datasets used for supply chain analytics.
• Collaboration: Work closely with a team of data scientists and management to understand requirements and deliver effective data visualizations and solutions.
• Project Participation: Join cross-functional teams to solve problems presented by internal business units, dealers, or customers.
Disqualifiers / Red Flags
• Candidates who are overqualified (e.g., Senior Data Scientists with 8+ years of experience) or who lack the required hands-on technical skills in SQL, AWS, and Power BI will not be a good fit.
Role Context & Team Dynamics
• Team Structure: You will be part of a small team of 5 employees.
• Work Environment: This is a full-time, on-site position in Mossville, IL. There is no remote work possibility.
• Typical Task Breakdown: The role is heavily focused on the technical execution of data tasks-writing SQL, building Power BI reports, and managing data schemas. You will coordinate with management to understand the desired "views " for dashboards
nd collaborate with other data scientists on technical implementation.
• Value Proposition: This role offers the opportunity to be part of a transformation team, driving new processes and tools within a global industrial leader. It provides excellent experience in applying data science to real-world supply chain challenges.
Data Scientist • Chicago, IL, United States
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