Data Scientisth3 Technologies • Irving, TX, United States
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Data Scientist
h3 Technologies • Irving, TX, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Degrees in Applied Statistics, Data Science, Business Analytics, Computer Science, Engineering (Mechanical / Industrial / etc), Mathematics, or MBA with technical undergrad. 1+ years of experience with Tableau or Power BI. Proficiency in SQL for data querying. Ability to work independently with minimal supervision. 2+ years of Python (NumPy, pandas, SciPy) for business solutions. Experience with statistical methods : regression, hypothesis testing, ANOVA, clustering, Random Forests, SVM, etc. Familiarity with cloud platforms (AWS / Azure / GCP). Excellent English communication (written / verbal). Time management and ability to manage multiple projects. Collaborative mindset and willingness to support teammates. Experience in heavy equipment industries (construction, mining, automotive, aerospace, etc.). Develop data-driven insights to support Caterpillar's product development, aftermarket analytics, and demand forecasting. Translate machine / equipment data into actionable business strategies. Create dashboards and reports (Tableau / Power BI) for global Sales Execution teams. Apply statistical modeling and machine learning to solve business problems. Collaborate with cross-functional teams (engineers, dealers, customers). Document projects, communicate progress, and address roadblocks. Onsite in Irving, TX (no remote work). Collaborative, non-competitive team with biweekly code reviews. Virtual interviews (1 round) starting mid-August Inability to communicate clearly in English. Unwillingness to collaborate or support teammates. Candidates outside Texas.
Position Title
Data Scientist
Job Location
Irving, TX, USA
Onsite
Must have Skills / Attributes
PowerBI, Python, SQL
Position Description
Required Education
- Bachelor's degree in engineering, computer science, statistics, economics, mathematics, or a similar quantitative field + 1-2 years of professional experience in quantitative analysis.
- OR Master's / PhD in a related field.
Preferred Education :
Technical Skills :
Strongly Preferred :
Soft Skills :
Domain Knowledge (Bonus) :
Job Description
Team & Work Environment :
Interview Process :
Disqualifiers (Red Flags)
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