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Data Scientist

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Tek Spikes
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Job Details

Note:

Only on W2

Must be local to either Cary, NC or Irving, TX

Client:
Caterpillar

Education
  • Bachelors or Masters are required
Qualifications
  • 5+ years of experience are required
Top Skills
  • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, Tensor Flow)
  • Strong foundation in statistics, probability, and machine learning
  • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling
  • Excellent communication skills to explain technical concepts to non-technical stakeholders
Job Duties
  • 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.
  • 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
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