Data Scientist, Product Analytics and Experimentation

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?

A Little About Yahoo

Yahoo is a values-led company committed to building brands people love. We reach over one billion people around the world with a dynamic house of 50+ media and technology brands. A global leader in digital and mobile, Yahoo is shaping the future of media.

Our Mission

• Build brands consumers love
• Build platforms customers love
• Build a company talent loves

A Lot About You

You get data. You have a thirst for knowledge and insight and have the technical and analytical skills to navigate large and complex data sets. You strive and thrive upon communicating data in ways that marketing, communications, media, product, and executive teams understand. Your data is 100% accurate and credible. Your reports are always clear and actionable.

You get growth. You are a consumer-focused, data-driven, and growth-enabling analyst who has supported Growth strategies across the analytics/insights, acquisition/referrals, activation/onboarding, and adoption/retention loop.

You get people. You effectively communicate and collaborate with cross-functional teams across all levels of the organization. You influence without official authority and build relationships to become a trusted advisor. You can empathize with various perspectives and identify opportunities to add value to diverse stakeholders.

You get mobile/digital. You have significant industry experience – and a strong understanding of the mobile/digital ecosystem – from apps to advertising and analytics. You have successfully applied the latest mobile/digital tools to help track, measure, monitor, report, analyze and optimize marketing campaigns. You get it done.

Responsibility:

• Analyze user needs and identify/prioritize the problems, pain points, and pleasure points (via analytics, behaviors, clicks/conversions, funnels, etc.)
• Build models to gain insights on what drives performance in terms of reach, retention, referral, and revenue growth
• Create dashboards and reports that provide analysis and commentary, explaining the product, marketing, and business trends for Executive reporting
• Inform and update executives and stakeholders on product performance, plans, and progress towards metrics
• Define data testing plans and create methodologies that help teams to iterate fast and release new features for testing and, if successful, rollout to all users globally
• Focus the product roadmap on achieving the metrics that matter and making ruthless decisions about what to do (and almost as importantly what not to do)
• Generate and go deep on consumer insights and competitive intelligence to help teams drive product innovation and iteration
• Help teams understand/internalize consumer insights, choices, and preferences – and how these influence the product/testing roadmap to drive growth
• Build strong partnerships with a product, design, engineering, and marketing teams and enable them to launch new Growth initiatives for testing/iteration
• Provide feedback to product and engineering teams on impact of product launches: target launch metrics, A|B testing, post-launch metrics
• Distill all metrics from statistically significant deviations that will impact reach, retention, referral, and/or revenue metrics
• Investigate data and monitor data quality – partner closely with and provide requirements to the Data Engineering teams that can be acted upon
• Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements
• Design and lead time-sensitive strategic research projects involving methodology development, analysis, strategic recommendations, and presentation of findings to Senior Management

Preferred:

• BS/MS in the highly-quantitative field (Computer Science, Statistics, Mathematics, Analytics, Data Science)
• Data analysis, generating insights for consumer-focused companies
• Experience with statistical programming languages such as Python or R
• Familiarity with query optimization and data ETL
• Experience with big data technologies such as Hive, Hadoop, MapReduce, Spark, etc.
• Machine Learning skills, including cluster analysis, neural networks, predictive modeling
• Experience using Statistical techniques including correlation analysis, design of experiments, linear and nonlinear regressions, logistic regression, sampling and resampling methods, time series, and longitudinal analysis
• Significant experience, proficiency in, and passion for Mobile and/or Web products
• Track record of proactively establishing and following through on commitments
• Blend of consumer insights, competitive intelligence, and technical knowledge
• Demonstrated use of analytics, metrics, and benchmarking to drive decisions
• Excellent interpersonal, organizational, creative, and communications skills
• Team player in driving growth results combined with a positive attitude
• Strong work ethic and strong core values (honesty, integrity, creativity)
• Problem solver who never stops thinking about ways to improve
• Self-motivated, results-driven, and team-oriented leader
• Killer consumer instincts and data sensibilities
• Demonstrated success in previous roles
• Passion for Yahoo and cool products