Data Scientist: III (Senior)

No sponsorship or C2C for this role



Must be a w2 employee of The Judge Group


Job Title: Data Scientist


Location: Columbus, OH (4 Days Onsite, 1 Day Remote)
Employment Type: 3+ Months CTH
Type: W2 Only

About the Role


We are seeking a highly motivated and data-driven Data Scientist to join the Enterprise Analytics team. In this role, you will leverage advanced analytics, machine learning, and data storytelling to uncover insights that drive business growth and enhance customer experience.


You will partner closely with cross-functional teams-including Product, Marketing, Finance, and Leadership-to identify opportunities, build predictive models, and deliver actionable insights that influence strategic decisions.


Key Responsibilities

• Apply advanced analytics and machine learning techniques to extract insights from large, complex datasets
• Design and execute experiments, build predictive models, and solve business problems using data
• Analyze customer, product, and digital channel data to drive optimization and growth
• Present insights and recommendations to business stakeholders in a clear, impactful manner
• Research and implement cutting-edge AI/ML techniques and tools
• Collaborate with cross-functional teams in an Agile environment across project lifecycles
• Enable data-driven decision-making through dashboards, reporting, and visualization tools

Required Qualifications

• Master's degree in Computer Science, Statistics, Data Science, Engineering, or a related STEM field
  
  OR
  Bachelor's degree with:
• 3-5+ years of experience in data science or analytics
• Strong proficiency in SQL and large-scale databases (Oracle, Teradata, SQL Server, DB2, Hadoop, etc.)
• Experience with Python, R, SAS, or similar programming languages
• Solid understanding of statistical analysis and predictive modeling

Preferred Qualifications

• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn, Spark)
• Knowledge of cloud-based ML platforms (e.g., AWS SageMaker)
• Experience with structured and unstructured data analysis
• Familiarity with big data tools and scalable data pipelines
• Experience in financial services or banking domain
• Exposure to tools like Streamlit for data applications

Technical Skills


Must-Have:

• Advanced SQL and database expertise
• Experience working with large-scale data systems and analytics platforms
• Strong background in statistics and data modeling Nice-to-Have:

• 3+ years of experience with Python/R/Spark
• AWS SageMaker or other cloud ML tools
• Data visualization and application frameworks

What We're Looking For

• Strong analytical mindset with a passion for solving complex problems
• Excellent communication and data storytelling skills
• Ability to work independently and collaboratively in a fast-paced environment
• Curiosity, adaptability, and eagerness to learn new technologies
• Experience working in cross-functional, consumer-focused environments