Data Science Analyst

Title: Data Science Analyst Duration: 12 Months (possible extension) Location: Plano TX (Hybrid) Job Description 4 days onsite 1 day remote What you’ll be doing: Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions. Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development. Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights. Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders. Effectively and efficiently transition models from development to production within the organization’s existing cloud ecosystem. Software development with a Python environment Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals. Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions. Requirements: Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills 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 Added bonus if you have (Preferred): 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.