Swish Analytics
Data Scientist – AOL
Job Description
A Little About Us
The Consumer Analytics team serves as the primary source for experimentation and insights. The team’s main objectives are to test hypotheses across all digital platforms, measure results and provide go-forward business recommendations for stakeholders. Additionally, the team serves as the key resource for cross-functional teams (Marketing, Finance, Business Development and more) on all the above subject areas. As part of the team, this Data Scientist will have multiple responsibilities including defining test plans, creation of new test hypotheses, improving dashboards and reports that provide analysis and commentary, deep dive into consumer insights and competitive intelligence to help teams drive product innovation and iteration, measuring A/B test results and providing business recommendations.
A Lot About You
Your Day
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Collaborate with cross-functional teams to solve business challenges through data analysis across AOL properties.
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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.
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Communicate your findings effectively and efficiently with product partners and executives to drive product and business decisions.
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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.
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Lead time-sensitive strategic research projects involving methodology development, cohort analysis, strategic recommendations and presentation of findings to Senior Management
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Extract data, use statistical tools and techniques to turn data into insights and use data visualization tools to tell-the-story.
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Create dashboards and reports to provide transparency to data and metrics. Drive reporting optimization through continued improvement in production & visualization
Requirements
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BS/MS in quantitative field (Computer Science, Statistics, Mathematics, Analytics, Data Science)
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3+ years of experience generating actionable insights that aid data-driven decisions in building great products with great user experience.
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Proven record of delivering actionable insights through exploratory data analysis & predictive analytics using statistical and machine learning techniques and concepts.
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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.
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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.
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Proficient in data analysis tools and programming languages such as SQL, Python or R.
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Proficient in data visualization tools such as Looker, Tableau.
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Good working knowledge of cloud based services like Amazon Web Services (AWS) including ETL and Data Integration.
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Experience with big data technologies such as Hadoop (Pig/Hive), Spark, or other related technologies.
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Self-motivated and results-driven
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.
The compensation for this position ranges from $111,000.00 – $231,250.00/yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.
Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.
If you’re curious about how this factors into this role, please discuss with the recruiter.
Currently work for Yahoo? Please apply on our internal career site.
