Data Scientist
Job in
Garland, Dallas County, Texas, 75040, USA
Listed on 2026-07-08
Listing for:
Compunnel Inc.
Seasonal/Temporary
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
Delivery Manager Staffing at Compunnel Software Group, Inc. is seeking a Data Scientist.
Location:
Remote. Pay: 65/hr W2 only. Prefer someone from the Retail domain with customer interaction and retention experience, maybe in a subscription model.
Base pay range: $60.00/hr - $65.00/hr
Pay: 65/hr W2 only
Seniorities: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industry: Electric Power Transmission, Control, and Distribution
Responsibilities- Consumer’s data scientists use a combination of technical and business skills to help Client’s brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.
- Adhere to our culture of humility, curiosity, and impact
- Process data using Python, PySpark, and Databricks
- Develop models and dashboards
- Learn the job while performing hands-on analytics and modeling
- Help business partners make more profitable decisions based on customer and prospect insights
- Customer interaction for collecting data in Subscription model; collect feedback and implement improvements
- Experience with statistical software and database languages
- Experience using data science to improve customer experience and business profitability
- Proficiency in Python packages such as PySpark, Num Py, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
- Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
- Proficiency with version control
- Experience with reading and writing data in the cloud
- Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
- 5-8 years of experience in data analysis or related field
- Prefer someone from Retail domain with customer interaction and retention experience, possibly in subscription model
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