Analysis Skills, Data Science, Data Visualization, Forecasting, Health Plan, Information Technology Consulting, Logistics, Machine Learning, Manufacturing Analysis, Operational Improvement, Operations Research, Predictive Modeling, Python Programming/Scripting Language, SQL (Structured Query Language), Statistical Modeling, Supply Chain
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?