We are looking for a Data Scientist for one of our leading engineering clients in Irving, TX or Cary, NC. APPLY NOW!
Title: Data Scientist 3
Location: Irving, TX or Cary, NC-100% onsite- Cary, NC preferred
Hours: M-F regular 40 hour work week
Type: Contract
Pay: range $39-42.77/hour on w2
Length: 12 months- possibility to extend
Screenings: no tech, full panel drug and background once hired
IV process: 2 onsite IV's
+optional benefits, long term contract with ability to extend or convert to full time
⭐ Must haves:
- Years of experience: 5+ years (regardless of level of degree) - will accept internships as job experience
- Degree requirement: Bachelors and/or Masters are required
- 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
Job Description
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.
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.
Why (client name removed)? “Whether it be ground-breaking products, best in class solutions or a lifelong career, you can build what matters to you at (client name removed). With 150 locations in countries around the world, what you create at (client name removedtravels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters.”
Typical Day or Week in the Role
- Typical task breakdown and rhythm
- Interaction level with team
- Team Structure
- Work environment description
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:
Soft Skills
(Required)
- 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.
