Data Scientist

Not A Customers Hiring Org; Mobile (AL); On-site; USD 21,000 - 41,000; Full time

Job summary

Not Available is seeking an experienced data scientist to build production-ready machine learning solutions in Alabama. You will collect, clean, and analyze data, develop models for classification, forecasting, and ranking, and deploy them with monitoring.

You will collaborate with data engineers, design experiments, and produce dashboards for product teams. We value Python and SQL fluency, hands-on ML libraries, and strong communication.

Qualifications

• 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 HR Tech, SaaS, FinTech, Healthcare, or E-commerce

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

Skills

Python

SQL

Statistics

Communication

NLP

Education

Bachelor’s or Master’s degree in a related field

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Apache Spark

Databricks

AWS

GCP

Azure

Job description

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