Data Scientist, Instagram Well-being, Trust

Empresa: Facebook
Tipo de empleo: A tiempo completo

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.
The Instagram Well-being organization is working on ensuring that Instagram is
a positive force in people s life, the most important job we have over the
next few years at Instagram. We want to make sure that people feel safe and
supported when connecting with the people and things they love, and that people
feel the freedom to express themselves on the platform. A core part of
delivering on that, is making sure that people are safe from harm when they use
Instagram, feel supported by Instagram when they need it, and are enabled to
support each other and their communities. This includes ensuring that people
are not exposed to harmful content or accounts, their interactions on the
platform are safe, their accounts and data are secure and that civic expression
on Instagram is authentic and safe from foreign interference. To do this, we
build large-scale complex systems, state-of-the-art Machine Learning, and
operate an infrastructure to enable detection, classification, and remediation
of content, behaviors, and bad actors that contribute to bad experiences for
our community. At the heart of the Instagram Well-being organization is the
data science team whose empirical studies and rigorous analyses shape the
direction of Well-being product development. We re looking for Data Scienti
to support the Well-being and Trust, which strives to protect Instagram users
and their data and enables seamless development of safe and secure products.
You will enjoy working with one of the richest data sets in the world, cutting
edge technology, and the ability to see your insights turned into real products
on a regular basis. You are scrappy, focused on results, a self-starter, and
have demonstrated success in using analytics to drive the understanding,
progression, and user engagement of a product.
* Be a strategic partner for Well-being in identifying high impact
analytical problems and find innovative ways to tackle these problems via
data analysis, experimentation, and statistical modeling.
* Evolve our measurement strategy by identifying novel metrics and
measurement approaches to guide product strategy, goaling and
experiments.
* Provide technical and product mentorship to the members of Well-being
data science to ensure continual upleveling of our expertise.
* Drive or partner to execute on high priority learning and measurement
initiatives for Well-Being, Instagram, and Facebook.
* Establish strong trusted relationships with the data science and product
communities of Instagram and Facebook.
* Experience in product management with proven quantitative expertise and
your work experience and accomplishments reflect this.
* Experience leading and executing cross-functional data science projects
with measurable organizational and product impact.
* Demonstrate a track record of judgement in balancing practical business
needs and scientific rigor.
* 6+ years of hands-on data science experience in the consumer media or
consumer product, including at least 2 years serving in a lead capacity.
* Expert knowledge of SQL, Python, R.
* Proven communication skills and the experience connecting with and
influencing a broad spectrum of audiences.
* Practical, hands-on experience with a wide variety of causal inference
and statistical modeling methods.
* Experience in field experiments, experimental design, missing data,
survey sampling, and/or panel data.
* Experience in Observational causal inference or quasi-experimental
methods.
* Experience in statistical modeling as related to survival modeling for
lifetime value and threat detection.
* Advanced education degree in Biostatistics, Experimental Psychology,
Measurement and Evaluation, Political Science, Econometrics or a similar
quantitative field.
* Knowledge of user and data privacy.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer.
We do not discriminate based upon race, religion, color, national origin, sex
(including pregnancy, childbirth, or related medical conditions), sexual
orientation, gender, gender identity, gender expression, transgender status,
sexual stereotypes, age, status as a protected veteran, status as an individual
with a disability, or other applicable legally protected characteristics. We
also consider qualified applicants with criminal histories, consistent with
applicable federal, state and local law.
Facebook is committed to providing reasonable accommodations for candidates
with disabilities in our recruiting process. If you need any assistance or
accommodations due to a disability, please let us know at accommodations-
.
Show moreShow less