Data Scientist

Key Skills

Java Programming, Python Programming, SQL, AWS, Apache Hadoop, Looker, Tableau, Apache Hive, Apache Pig, R Programming, SPARK Programming

Job Description

Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900M people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

Your Day

• Collaborate with cross-functional teams to solve business challenges through data analysis on subscriptions and consumer bahavior.
• Work with product teams to understand business problems, frame the problem into questions that can be answered through data analysis, formulate analysis plans, analyze data and derive actionable insights.
• Communicate your findings effectively and efficiently with product partners and executives to drive product and business decisions.
• Work with product and engineering teams to provide requirements and guidance on tracking and instrumentation standards, data validation, A/B test design, set up and measurement.
• Extract data, use statistical tools and techniques to turn data into insights and use data visualization tools to tell-the-story.
• Create dashboards and reports to provide transparency to data and metrics. Drive reporting optimization through continued improvement in production & visualization

You Must Have

• BS/MS in quantitative field (Computer Science, Statistics, Mathematics, Analytics, Data Science)
• 3+ years of experience generating actionable insights that aid data-driven decisions in building great products with great user experience.
• Proven record of delivering actionable insights through exploratory data analysis & predictive analytics using statistical and machine learning techniques and concepts.
• Excellent problem solving, analytical, abstract thinking skills and business acumen to understand business problems and convert it into data problems, collect and organize data, analyze and formulate insights.
• Ability to effectively and efficiently communicate the findings to product teams and executives and influence product and business decisions. Ability to explain complex analytical concepts to non-experts.
• Proficient in data analysis tools and programming languages such as SQL, Python or R.
• Proficient in data visualization tools such as Google Studio, Tableau, Looker.
• Good working knowledge of cloud based services like Amazon Web Services (AWS) including ETL and Data Integration.
• Experience with big data technologies such as Hadoop (Pig/Hive), Spark, or other related technologies.
• Self-motivated and results-driven.