Data Scientist

Iconma LLC

  • Dallas, TX
  • 23 days ago

    Highlights

    Predictive analytics, ML, DS, Access historical data, query efficiently, summarize history, and come up with insights (descriptive analysis) and then move to prescriptive to inform decision making. Role Background: Senior Data Scientist or Applied ML Engineer with experience developing predictive and prescriptive analytics solutions that improve operational decision-making.

    Numbers & Facts

    LocationDallas, TX

    Description

    Our Client, an IT Services and Consultant company, is looking for a Data Scientist for their Dallas, TX location.

    Responsibilities:

    • Works on OR tupe of tools, they will be adding ML and data science within tool to improve suggestions / recommendations and decision making.
    • Predictive analytics, ML, DS,
    • Access historical data, query efficiently, summarize history, and come up with insights (descriptive analysis) and then move to prescriptive to inform decision making
    • Don't just fulfill right now needs, consider future while making recommendations for today

    Requirements:

    • Experience: 8-12+ years (9+ years preferred).
    • Role Background: Senior Data Scientist or Applied ML Engineer with experience developing predictive and prescriptive analytics solutions that improve operational decision-making.
    • Domain Background: Airlines, Transportation, Logistics, Supply Chain, Manufacturing, Industrial Analytics, or other operations-intensive industries.
    • Critical Skills:
    • Python
    • Machine Learning
    • Data Science
    • Predictive Analytics
    • Prescriptive Analytics
    • Statistical Modeling
    • Feature Engineering
    • SQL & Data Querying
    • Data Exploration & Visualization
    • Decision Science
    • Operations Research concepts
    • Recommendation Systems
    • Time Series / Forecasting (Preferred)
    • Years of Experience: 9.00 Years of Experience

    Why Should You Apply?

    • Health Benefits
    • Referral Program
    • Excellent growth and advancement opportunities

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