Senior Data Scientist

Central Point Partners
Columbus, OH, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$114,400.0 - $145,600.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Artificial Intelligence Amazon Web Services Data Analysis Big Data Data Visualization Statistical Hypothesis Testing Python (Programming Language) Machine Learning Tensorflow SQL Databases Unstructured Data
+5 more
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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

54 sec

Generating multiple hook options for outreach A/B testing

Leandro Gomes da Silva Leandro Gomes da Silva · WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all