Strategic Data Scientist: Growth-Driven Analytics & ML

CM003 Cyan Blue Odds Limited; Waterloo; On-site; GBP 65,000 - 90,000; Full time

Job summary

FairPlay Sports Media is seeking a data scientist to translate complex data into actionable strategies. You will partner with Product, Engineering, Marketing, and Operations to build predictive frameworks and uncover growth opportunities.

Responsibilities include experimentation, predictive analytics, EDA, feature definition, and cross-functional collaboration. The role also involves designing autonomous AI agents and maintaining data pipelines with Data Engineering.

Qualifications

• 3+ years of experience in a quantitative analytics or data science role in a fast-paced environment.
• Strong proficiency in SQL across large cloud data warehouses (e.g., Snowflake, BigQuery).
• Proficient in Python for statistical modeling and machine learning.

Responsibilities

• Design, execute, and analyze rigorous A/B and multivariate tests to measure feature performance and business impact.
• Build, validate, and maintain predictive models (e.g., churn, forecasting, CLV, segmentation).
• Deep dive into large datasets to identify trends, user behavior patterns, and growth opportunities.
• Define and standardize features to track for modelling and data platforms.
• Collaborate with product, leadership, and stakeholders to turn questions into analyses.
• Design, deploy, and manage autonomous AI agents that automate analytics tasks and generate insights.
• Partner with Data Engineering to build data pipelines and uphold data governance.

Skills

Advanced SQL

Python

Statistics

Data Visualization

Communication

Business Acumen

Tools

Power BI

Looker

Dataform

Google Analytics

Vertex AI

Job description

FairPlay Sports Media is seeking a data scientist to translate complex data into actionable strategies. You will partner with Product, Engineering, Marketing, and Operations to build predictive frameworks and uncover growth opportunities.

Responsibilities include experimentation, predictive analytics, EDA, feature definition, and cross-functional collaboration. The role also involves designing autonomous AI agents and maintaining data pipelines with Data Engineering.