Data Scientist

Build production-ready machine learning solutions and turn complex data into actionable insights.

Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources
• Build, evaluate, and deploy machine learning models for classification, regression, forecasting, and ranking
• Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities
• Design and run A/B tests and other experiments; quantify impact and share recommendations
• Create feature engineering pipelines and maintain reusable datasets
• Collaborate with data engineers to productionize models and monitor performance and drift
• Produce dashboards and reports; communicate insights to product, engineering, and leadership teams
• Document methodologies, assumptions, and model limitations
• Follow data quality, governance, privacy, and compliance best practices
• Continuously research and apply state-of-the-art approaches where relevant

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field
• 3+ years of experience in data science, machine learning, or advanced analytics
• Strong proficiency in Python and SQL
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Hands‑on experience with ML libraries such as scikit-learn , XGBoost , TensorFlow , or PyTorch
• Experience delivering end-to-end analytical solutions from problem framing to deployment
• Strong communication skills for clearly explaining complex findings
• Familiarity/experience with NLP , recommendation systems , or time-series forecasting
• Familiarity with cloud platforms (AWS , GCP , or Azure ) and MLOps tools
• Experience with big data tools such as Spark or Databricks (or similar)
• Exposure to feature stores, model registries, and model monitoring frameworks
• Domain experience in one or more areas: HR Tech , SaaS , FinTech , Healthcare , or E-commerce

Technology Stack

• Python, SQL
• scikit-learn, XGBoost, TensorFlow, PyTorch
• AWS, GCP, Azure
• MLOps, Spark, Databricks
• A/B testing

Location: Alabama (onsite)

Pay: USD 15 - 30 per hourly