Data Scientist, Machine Learning
Company: Meta Inc
Location: Austin
Posted on: March 17, 2023
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Job Description:
Summary:
As a Machine Learning Data Scientist at Meta, you will have the
opportunity to do groundbreaking applied machine learning work that
will shape the industry and the future of people-facing and
business-facing products we build in Monetization Analytics and
Engineering.By applying your Machine Learning knowledge and
technical skills, analytical mindset, and product intuition to one
of the richest data sets in the world, you will help define the
experiences we build for billions of people and hundreds of
millions of businesses around the world. You will collaborate on a
wide array of product and business problems with a diverse set of
cross-functional partners across Product, Engineering, Research,
Data Engineering, Marketing, Sales, Finance and others. You will
use Machine Learning knowledge, data and analysis to identify and
solve product development's biggest challenges. You will influence
product strategy and investment decisions with data, be focused on
impact, and collaborate with other teams. By joining Meta, you will
become part of a world-class analytics community dedicated to skill
development and career growth in analytics, data science, machine
learning and beyond.About the roleProduct leadership: You will use
data to understand the product and business ecosystem, quantify new
opportunities, identify upcoming challenges, and shape product
development to bring value to people, businesses, and Meta. You
will help develop strategy and support leadership in prioritizing
what to build and setting goals for execution.Analytics: You will
guide product teams using data and insights. You will focus on
developing hypotheses and employ a diverse toolkit of rigorous
analytical approaches, different methodologies, frameworks, and
technical approaches including ML to test them. You will research
challenging ML questions to inform experimentation and ML
development.Communication and influence: You won't simply present
data, but tell data-driven stories. You will convince and influence
leaders using clear insights and recommendations. You will build
credibility through structure and clarity, and be a trusted
strategic partner.
Required Skills:
Data Scientist, Machine Learning Responsibilities:
Lead analytics projects end-to-end in partnership with Product,
Engineering, and cross-functional teams to inform, influence,
support, and execute product strategy and investment decisions.
Work with large and complex data sets to solve a wide array of
challenging problems using different analytical and statistical
approaches.
Apply technical expertise with machine learning, quantitative
analysis, experimentation, data mining, and the presentation of
data to develop strategies for our products that serve billions of
people and hundreds of millions of businesses.
Partner with cross-functional engineering and product teams to
derive quantitative understanding of Meta's ML infrastructure and
ML applications.
Inform direction and strategic decisions for the future of ML and
large scale distributed systems at Meta.
Identify opportunities and develop solutions in existing large
scale distributed systems and ML stack.
Define, understand, and test opportunities and levers to improve
the product through ML models and applications, and drive
ML-modeling roadmaps through your insights and recommendations.
Contribute towards advancing the Data Science discipline at Meta,
including but not limited to driving data best practices (e.g.
analysis, goaling, experimentation, machine learning), improving
analytical processes, scaling knowledge and tools, and mentoring
other data scientists.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Mathematics, Statistics, related technical
field, or equivalent practical experience.
A minimum of 8 years of experience (minimum of 6 years with a
Ph.D.) in one or more of the following: ML Modeling, Ranking,
Recommendations, or Personalization systems.
Experience with statistical data analysis such as linear models,
multivariate analysis, stochastic models, and sampling methods.
Experience with applying machine learning techniques to big data
systems (e.g., Spark and Hadoop) with TB to PB scale datasets.
Experience with data querying languages (e.g. SQL), scripting
languages (e.g. Python), and/or statistical/mathematical software
(e.g. R).
Preferred Qualifications:
Preferred Qualifications:
Ph.D. in a quantitative field.
Strong research record demonstrated through publications.
Knowledge of one or more of advanced ML techniques such as
Classification, Prediction, Recommender Systems, Anomaly Detection,
Optimization, Privacy Preserving Machine Learning.
Experience with design and analysis of experiments.
Experience with large-scale A/B testing systems, especially in the
domain of online advertising.
Public Compensation:
$197,000/year to $269,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative
Action employer. We do not discriminate based upon race, religion,
color, national origin, sex (including pregnancy, childbirth,
reproductive health decisions, or related medical conditions),
sexual orientation, gender identity, gender expression, age, status
as a protected veteran, status as an individual with a disability,
genetic information, political views or activity, or other
applicable legally protected characteristics. You may view our
Equal Employment Opportunity notice here. We also consider
qualified applicants with criminal histories, consistent with
applicable federal, state and local law. We may use your
information to maintain the safety and security of Meta, its
employees, and others as required or permitted by law. You may view
Meta's Pay Transparency Policy, Equal Employment Opportunity is the
Law notice, and Notice to Applicants for Employment and Employees
by clicking on their corresponding links. Additionally, Meta
participates in the E-Verify program in certain locations, as
required by law
Keywords: Meta Inc, Austin , Data Scientist, Machine Learning, Other , Austin, Texas
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