Analyst, Data Science Job at CornerStone Technology Talent Services in Plano

CornerStone Technology Talent Services provided pay range

This range is provided by CornerStone Technology Talent Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $60.00/hr

Direct message the job poster from CornerStone Technology Talent Services

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst and Information Technology

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