Data Scientist, Calibra Care & Operations

Data & Analytics | Tel Aviv, Israel
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About Calibra

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 leader to join the Calibra Care Data Science team. Do you like working with data? Do you want to use data to influence product decisions for products leveraging cutting-edge blockchain technology? Do you love building delightful customer experiences? Our data science team works very closely with Product Managers, Data Engineers, Software Engineers, Economic Researchers, Compliance, and Risk Management to build intuitive, secure products to solve some of the most challenging problems, at a scale that few companies can match. This is technically challenging, will have massive global impact, and you will get to work closely with smart folks on an intellectually challenging initiative. This is a full-time position based in our office in Tel Aviv, Israel.

Responsibilities

  • Apply your expertise in quantitative analysis, market research and the presentation of data to see beyond the numbers and understand how our users will interact with our new products to build a world class customer service experience
  • Optimize product to improve efficiency of our operations and support the development of tools to vastly improve the ability of customer support agents to serve customers
  • Partner with a brand new product team to solve problems, inform solutions creatively with a variety of data, and identify opportunities in a go-to-market strategy
  • Inform, influence, support, and execute our product decisions and product launches
  • Once product is launched, set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
  • The Data Scientist Analytics role has work across the following four areas:
  • Product Operations
  • - Evaluating past experiments to better inform new product launch
  • - Monitoring key product metrics, understanding root causes of changes in metrics
  • - 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

  • 5+ years experience doing quantitative analysis
  • BA/BS in Computer Science, other technical field, or equivalent experience
  • Experience in SQL and other programming languages
  • Core statistical knowledge
  • Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product

Preferred Qualifications

  • MBA, MA/MS, or PhD
  • Experience working with Natural Language Processing (NLP) in customer-facing products
  • Experience with distributed computing (Hive/Hadoop)
  • Experience leading analytics teams
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Experience at a web or mobile company