Über
Location: Cary North Carolina, 27513 OR Irving, TX Office (onsite)
Duration: 12 Months
Client: Caterpillar
Max rate: $66/hr on C2C
Position's Contributions to Work Group: A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Typical Day or Week in the Role
Typical task breakdown:
Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings Automation & Optimization: Develop scripts and tools to automate data processing and model deployment Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Interaction with team:
Primarily working with 10+ folks, working with business ( technical team and partners )
Work environment:
Onsite Full time
Candidate Requirements
Education & Experience Required:
Years of experience: 5+ years (regardless of level of degree) Degree requirement: Bachelors and/or Masters are required Do you accept internships as job experience: Yes Required Technical Skills
Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) Strong foundation in statistics, probability, and machine learning Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills
Excellent communication Business acumen Disqualifiers/Red Flags/Overqualifications:
Choppy tenure Any project done outside of work (Data Science work) is also welcome. If candidate isn't local at this time, we are not interested in in reviewing those resumes at this time.
Wünschenswerte Fähigkeiten
- AWS
- Azure
- Machine Learning
- Pandas
- Python
- SQL
- Scikit-learn
- Statistics
- TensorFlow
Berufserfahrung
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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