Data Scientist

Data Scientist

Location: United States (Onsite / Hybrid / Remote)
Employment Type: W2, Full-time

Role Overview

You will collect, analyze, and model structured and unstructured data to build predictive analytics and machine learning solutions. You’ll also develop data pipelines, evaluate and optimize models, and deploy them for production use.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources
• Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities
• Develop machine learning models and statistical approaches for business problems
• Apply ML methods including:
  • Regression, classification
  • Clustering
  • Time-series forecasting
• Build data pipelines for preprocessing, feature engineering, training, and validation
• Use Python and data science libraries to develop and analyze models
• Build dashboards and visualizations using BI/reporting and plotting tools
• Work with SQL and relational databases to query and analyze large datasets
• Collaborate with data engineers, business analysts, and stakeholders
• Evaluate and optimize model performance for accuracy and scalability
• Deploy and monitor ML models in production
• Communicate insights and recommendations to technical and non-technical stakeholders
• Stay current with advances in data science, ML, and analytics

Required / Core Skills

• Python for data analysis and ML development
• SQL and relational databases
• Experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with data visualization/dashboarding tools (e.g., Tableau, Power BI)

Nice-to-Haves

• Strong experience with time-series forecasting
• Hands-on production deployment and monitoring of ML models
• Experience optimizing for scalability and reliability