Website h3-Technologies
h3-Technologies
Company : h3-Technologies
Data Scientist
skills
AWS, 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
and 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.