Job Description

Job Title: Analyst, Data Science

Location: Plano, TX

Work Set up: Hybrid (4 days onsite, 1 day remote)

CornerStone Technology Talent Services (TTS) is seeking a talented Data Science Analyst who excels at the intersection of data engineering, statistical modeling, and business insight. This individual will play a key role in delivering end-to-end data solutions, from data wrangling to predictive modeling and business recommendations. If you're passionate about creating actionable insights and deploying models that drive decision-making, this is your opportunity to shine.

Key Responsibilities

• Collaborate with stakeholders to identify high-impact business questions and transform them into data-driven solutions.
• Extract, clean, and manipulate large datasets using SQL and Python (Pandas, Numpy).
• Develop predictive and prescriptive models using machine learning techniques to solve complex business problems.
• Present insights through clear visualizations and storytelling tailored to technical and non-technical audiences.
• Deploy models from development to production within a cloud-based infrastructure.
• Contribute to software development tasks in a Python environment.
• Stay current with industry best practices and integrate emerging tools or methods into the workflow.

Required Qualifications

• Master’s degree or higher in Data Science, Statistics, Computer Science, or a related analytical field.
• Strong command of SQL and Python for data manipulation and analysis.
• Experience building models using scikit-learn , statsmodels , TensorFlow , PyTorch , or similar frameworks.
• Familiarity with advanced modeling methods: Logistic Regression, Time Series Analysis, GLMs, Decision Trees, Random Forests, Neural Networks, etc.
• Proficient in version control using GitHub .

Preferred Qualifications

• Experience with CI/CD pipelines and best practices.
• Knowledge of AWS SageMaker , Azure ML , or other cloud-based ML platforms.
• Experience working in Snowflake , Netezza , or Microsoft SQL environments.
• Familiarity with SAS programming.
• Understanding of financial modeling and cash flow analysis is a strong plus.
• Proven ability to influence across teams and modernize legacy systems.

*Only qualified applicants will be contacted.

*No C2C, C2H or subcontractors for this role.

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