Data Scientist - Marketing, Blockchain - Menlo Park

Company: Facebook
Location: Menlo Park , California, United States
Type: Full-time
Posted: 16.MAY.2019
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Summary

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and servic...

Description


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

At Facebook, we have established a new team exploring different ways to leverage blockchain technology to improve the lives of people around the world. It's a small, fast-growing, and talented group of people and our experienced leadership team comprised of some of the best professionals in their respective fields. The Blockchain team is a startup within Facebook and we're exploring lots of areas of interest across all facets of Blockchain technology. Our ultimate goal is to help billions of people with access to things they don't have now - that could be things like healthcare, equitable financial services, or new ways to save or share information.
Facebook is seeking an experienced Data Scientist to join the Blockchain Data Science team. This person will work very closely with cross-functional partners to provide insightful analytics. This work includes measuring the impact of marketing in driving brand, increasing user growth and engagement, testing various creatives to optimize impact of marketing at scale, identifying and testing new audience segments, and working as a consultative partner to our marketing team. This analytics professional should thrive at the intersection of data, human behavior, marketing, product, and engineering. The ideal candidate will have a strong technical and analytical background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes.

RESPONSIBILITIES



  • Partner with our marketing teams to identify opportunities in a go-to-market strategy and make well-informed decisions backed by data and survey results




  • Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on our business, consumer sentiments, and the world




  • Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics




  • Translate data insights into actions and recommendations that will drive brand sentiment, positioning, messaging, user growth, engagement, and marketing effectiveness




  • Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): retention, sentiment, lifetime value, messaging, promotions, usage, and engagement




  • Produce data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively




  • The Data Scientist, Blockchain Marketing has to work across the following four areas:




  • Marketing Operations

    Evaluating past marketing launch and experiments to better inform our product decisions

    Building and analyzing dashboards and reports

    Evaluating and defining metrics




  • Exploratory Analysis

    Narrowing broad product questions with data-informed conclusions

    Proposing what to build in the next roadmap

    Identifying new levers to help move key metrics

    Building models of user behaviors for analysis or to power production systems




  • Product Leadership

    Influencing product teams through presentation of data-based recommendations

    Communicating state of business, experiment results, etc. to product teams

    Spreading best practices to analytics and product teams




  • Data Infrastructure

    Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica

    Automating analyses and authoring pipelines via SQL and Python-based ETL framework



  • MINIMUM QUALIFICATIONS


  • Bachelors degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands




  • 5+ years experience doing data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, consumer sentiment or perception, and outbound online marketing campaign evaluation




  • Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)




  • Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights




  • Experience using R or Python or a similar scripting language for statistical modeling




  • Experience with SQL, Hive, Presto, Hadoop, or other data querying languages




  • Experience communicating with cross-functional stakeholders and leadership teams including brand strategists, marketing researchers, product marketing managers, and engineers to share analyses and influence the strategy of the product



  • PREFERRED QUALIFICATIONS


  • An MBA or Master's or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands




  • Experience supporting CPG brands at client side or consulting




  • Experience presenting data-driven insights to business and marketing audiences




  • Experience with distributed computing (Hive/Hadoop)




  • Experience developing data pipelines




  • Experience using open-source statistical packages such as dplyr, RStudio, NumPy, Pandas




  • Basic experience or basic understanding of machine learning, data mining, and natural language processing



  • Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at .

     
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