Senior Data Scientist

Central Point Partners
Columbus, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 146K

Job location

Columbus, United States of America

Tech stack

A/B testing
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Big Data
Data Visualization
Statistical Hypothesis Testing
Python
Machine Learning
TensorFlow
SQL Databases
Unstructured Data
Build Management
Scikit Learn
Data Management
Machine Learning Operations
Data Pipelines

Job description

We're looking for a Senior Data Scientist who can turn complex data into real business impact. This role sits within a high-visibility analytics team supporting digital, product, and customer experience initiatives across the organization.

You'll work closely with cross-functional teams to uncover insights, build predictive models, and influence key business decisions. This is a hands-on role that blends data science, experimentation, and storytelling - ideal for someone who enjoys both the technical work and the business side of analytics.

What You'll Do

  • Use advanced analytics and machine learning techniques to solve business problems
  • Design and execute experiments to evaluate product and customer strategies
  • Build and deploy predictive models using structured and unstructured data
  • Translate complex findings into clear, actionable insights for stakeholders
  • Partner with Product, Marketing, and leadership teams to drive data-informed decisions
  • Research and apply modern data science and AI techniques

Requirements

  • Bachelor's degree + 3+ years of experience in Data Science / Analytics
  • (or Master's degree in a related STEM field)
  • Strong experience with:
  • Python or R
  • SQL (required)
  • Data visualization tools (Tableau or similar)
  • Hands-on experience with:
  • Machine learning (scikit-learn, TensorFlow, or similar)
  • Statistical analysis and modeling techniques
  • Experimentation (A/B testing, hypothesis testing)
  • Ability to work with large datasets and multiple data sources
  • Strong communication skills - able to explain data to non-technical stakeholdersNice to Have
  • Experience with cloud ML tools (AWS SageMaker or similar)
  • Exposure to big data tools and scalable data pipelines
  • Background in financial services or consumer-focused industries

What Makes You a Fit

  • Naturally curious and driven to find answers in data
  • Strong problem solver who can navigate ambiguity
  • Comfortable working in a fast-paced, collaborative environment
  • Able to balance technical execution with business impact

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