Data Science & Analytics

Hire our team of full-stack data scientists to tackle your most challenging problems with structured or unstructured data, big or small.

Contact us about your project

Our Services and Capabilities

Developing custom optimization algorithms to maximize efficiency and profitability.

Implementing bespoke customer segmentation models to personalize your marketing and products.

Using customer lifecycle modeling to improve customer acquisition, retention, and engagement.

Drawing on inferential statistics to analyze experiments and complex causal systems.

Build tools and run analyses using statistical programming languages such as R, Python, Stan, and JAGS.

Leveraging predictive analytics to identify challenges and opportunities before they occur.

  • Python
  • R
  • TensorFlow
  • Theano
  • SciKit Learn
  • Spark MLib
  • Stan
  • PyTorch
  • AWS Lambda
  • AWS EC2
  • AWS ML
Customer Lifecycle Models

Customer Lifecycle Models: A Better Approach

We demonstrate a novel technique for analyzing churn and revenue over time to estimate Customer Lifetime Values (CLTV).

See Blog Post »
Predicting Churn to Improve Retention

Predicting Churn to Improve Retention (Gaming)

We deployed churn prediction models on two timescales — real-time and batch — to identify and intervene on players with high churn risk.

See Case Study »

Work with Strong on your data science project.

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