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

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

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

Location: Alabama (onsite)

Pay: USD 15 - 30 per hourly

Data Scientist

Job Description