Data Scientist

Overview

Remote
Depends on Experience
Contract - Independent

Skills

A/B Testing
Apache Hadoop
Apache Spark
Amazon Web Services
Big Data
Cloud Computing
Continuous Delivery
Continuous Integration
Dashboard
Data Analysis
Data Manipulation
Data Processing
Data Science
Google Cloud Platform
Machine Learning (ML)
Natural Language Processing
NumPy
Pandas
Python
SQL
Statistical Models
Tableau
TensorFlow

Job Details

We re looking for a skilled Data Scientist for a full-time contract. This is a remote role with the flexibility to collaborate across all hours in Central Time (CT).

What You ll Do

  • Build and Deploy Data Models: Develop and implement machine learning and statistical models to extract insights and drive decision-making.
  • Data Analysis & Visualization: Analyze large datasets and present findings through dashboards, reports, and visualizations using tools like Tableau, Power BI, or Matplotlib.
  • Feature Engineering & Model Optimization: Improve data pipelines, engineer new features, and optimize models for accuracy, scalability, and performance.
  • Collaboration & Strategy: Work closely with data engineers, product managers, and business teams to translate data insights into strategic decisions.
  • Production-Ready Data Solutions: Implement CI/CD practices for data pipelines and models, ensuring seamless deployment and monitoring.

What We re Looking For

  • Expertise in Data Science & Machine Learning: Strong experience in statistical modeling, predictive analytics, and working with ML frameworks like Scikit-Learn, TensorFlow, or XGBoost.
  • Proficiency in Data Processing: Solid experience with Python, SQL, Pandas, NumPy, and Spark for data manipulation and analysis.
  • Cloud & Big Data Experience: Familiarity with cloud platforms (AWS/Google Cloud Platform/Azure), distributed computing frameworks (Spark, Hadoop), and containerization (Docker, Kubernetes).
  • Strong Business Acumen: Ability to translate data insights into business impact and actionable recommendations.
  • Bonus: Experience with NLP, time-series forecasting, A/B testing, or integrating ML models into production applications.

If you complete your profile, our matching team can review it and reach out if you're the right candidate!

Our volume of applicants is very high, so we can't always give feedback, but your profile will be considered for other positions.

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