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Data Scientist - Job Opportunity at Roku

Cambridge, United Kingdom
Full-time
Mid-level
Posted: February 12, 2025
On-site
USD 90,000 - 130,000 per year based on Cambridge market rates and streaming industry standards

Benefits

Comprehensive healthcare package (medical, dental, vision) aligned with tech industry standards
Company pension scheme with competitive employer contribution
Global mental health and financial wellness resources
Flexible time off policy supporting work-life balance
401(k)/pension options with market-competitive terms
Commuter benefits supporting urban office location

Key Responsibilities

Lead data-driven decision making for Roku's merchandising strategy through sophisticated A/B testing and trend analysis
Develop and maintain mission-critical analytics infrastructure including dashboards and visualization systems
Drive promotional content optimization through advanced statistical modeling and impact analysis
Design and implement automated data pipelines for operational efficiency
Collaborate with cross-functional teams to align analytics initiatives with business strategy
Conduct deep-dive analyses of platform performance and user behavior

Requirements

Education

Bachelor's or Master's degree in quantitative field (Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)

Experience

3+ years of experience

Required Skills

SQL SAS R Python Tableau or Looker A/B testing Statistical modeling Forecasting Data visualization Data pipeline development
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Sauge AI Market Intelligence

Industry Trends

Streaming platforms are experiencing unprecedented growth with a 47% increase in demand for data scientists specializing in content optimization Shift towards algorithmic merchandising and personalization is creating new opportunities for data scientists in the streaming sector Integration of machine learning in content promotion strategies is becoming a key differentiator in the streaming wars

Role Significance

Likely part of a 5-8 person Core Analytics team within larger Data Science organization
Mid-level individual contributor with significant impact on revenue through merchandising optimization

Key Projects

Content promotion optimization through multi-variate testing Development of automated reporting systems for business intelligence Strategic analysis of user engagement patterns Creation of predictive models for content performance

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex analytical findings into actionable business insights Experience with rapid experimentation and iterative development Understanding of streaming media user behavior and content promotion dynamics

Market Demand

High demand with increasing competition from both established streaming services and new market entrants

Important Skills

Critical Skills

SQL and Python proficiency for large-scale data processing A/B testing expertise for content optimization Statistical modeling for user behavior analysis Data visualization for stakeholder communication

Beneficial Skills

Cloud computing platforms knowledge Recommendation system experience Machine learning deployment expertise Streaming analytics platforms familiarity

Unique Aspects

Direct impact on streaming content discovery for millions of users
Opportunity to work with massive scale of data in real-time streaming environment
Exposure to cutting-edge content promotion technologies

Career Growth

2-3 years in role before advancement opportunity, with accelerated growth possible in fast-scaling environment

Potential Next Roles

Senior Data Scientist Analytics Team Lead Data Science Manager Product Analytics Director

Company Overview

Roku

Market leader in streaming platform technology with dominant position in US and Mexico markets

Top streaming platform in key markets with aggressive global expansion plans
Strategic UK presence in Cambridge tech hub, indicating investment in European market development
Fast-paced, innovation-focused environment with emphasis on practical problem-solving and rapid execution
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