Data Scientist / Predictive Analytics Engineer

Job description

Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work Authorization: Open to candidates authorized to work in the U.S. Interview Process: Video Interview followed by Client Interview We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX. The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights. will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes. Required Skills 2+ years of professional experience as a Data Scientist. Strong programming skills in Python or R. Advanced SQL skills with experience querying complex relational databases. Hands-on experience with machine learning frameworks such as: Scikit-Learn TensorFlow PyTorch Experience with statistical modeling, predictive analytics, and feature engineering. Strong understanding of: Regression Analysis Hypothesis Testing Probability & Statistics Experience with data visualization tools such as: Tableau Power BI Matplotlib Excellent analytical, problem-solving, and communication skills. Preferred Qualifications Experience working with cloud platforms such as AWS, Azure, or GCP. Knowledge of data pipelines, ETL processes, and big data technologies. Experience with MLOps, model deployment, and monitoring is a plus. Familiarity with version control systems such as Git. Education Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.