Data Scientist
h3 TechnologiesChicago, IL, United States1 day ago
Job type
- Full-time
Job descriptionSoft Skills : Strong initiative, interpersonal skills, and the ability to communicate effectively. 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. 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. 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. 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 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
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.
Nice-to-Have (Top Candidate Qualifiers)
Key Responsibilities
Disqualifiers / Red Flags
Role Context & Team Dynamics
nd collaborate with other data scientists on technical implementation.
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Data Scientist • Chicago, IL, United States
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