Data Scientist

Compunnel Inc.; Houston (TX); Remote; USD 82,656 - 89,544; Full time

Job summary

A staffing solutions company is seeking a Data Scientist to work remotely. The ideal candidate has 5-8 years of experience in data analysis, preferably in the retail domain. Responsibilities include processing data using Python and developing models to enhance customer interaction and retention in a subscription model. A competitive rate of $65/hr is offered for this contract position.

Qualifications

• 5-8 years of experience in data analysis or related field.
• Experience in retail domain with customer interaction and retention experience preferred.

Responsibilities

• Use technical and business skills to help achieve financial and strategic objectives.
• Process data using Python, PySpark, and Databricks.
• Develop models and dashboards.
• Collect data in subscription model and implement improvements.
• Collaborate with business partners to make profitable decisions.

Skills

Python programming

Data modeling

Customer interaction

Statistical analysis

Machine learning

Data visualization

Team collaboration

Tools

PySpark

Databricks

NumPy

pandas

scikit-learn

XGBoost

Matplotlib

Version control

Job description

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.

Details

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, NumPy, 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

Qualifications

• 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