Data Science Specialist

Job Title: Analyst, Data Science Location: Hybrid / Plano, TX Duration: 12+ Months contract with possible extension Qualification: • Master’s degree or higher in a relevant analytical field. • Highly proficient with SQL • Hands-on experience with software development using Python Pandas, and Numpy • Experience solving problems using a variety of statistical and machine learning techniques. • Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow, etc). • Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks. • Proactive approach to identifying problems and developing innovative solutions. • Experience with version control in GitHub • Familiarity with CI/CD practices to streamline model deployment and code management. • Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools. • Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change. • Capability to replace and bridge existing legacy infrastructure and processes. • Experience with the Snowflake, Netezza, or Microsoft SQL environment • Experience with SAS programming language • Understanding of cashflow financial analysis and its implications for business strategy is highly desirable. Responsibilities: This role is ideal for someone who thrives at the intersection of computational science, data analysis, and business consulting. The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. They should also be proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production. The ability to present results and recommendations effectively to business partners and leaders is essential. If have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, could be the perfect fit