Job Summary:
We are seeking a highly skilled Data Scientist with 10+ years of industry experience to join our team. The successful candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication skills.
Key Responsibilities:
Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations; apply statistical and quantitative tools or techniques; interpret data and formulate deep-level insights.
Setting Goals and Success Metrics: Collaborate with stakeholders to define business objectives and key results (OKRs); define success metrics that measure short and long-term progress towards OKRs.
Visualization: Design visualizations that provide a clear narrative understanding as well as deep dive capabilities; develop high-performance reports and dashboards.
Storytelling Through Data: Develop compelling narratives to communicate data insights for technical and non-technical audiences; utilize various relevant tools and techniques to effectively present data; provide recommendations based on analytical findings and insights, with prioritization of actions and estimated impact.
Modeling: Develop and implement predictive and forecasting models using multiple techniques such as regression, clustering, classification, and more; evaluate and refine models based on performance metrics; generate actionable insights from model output.
Research and Experiment: Formulate multiple hypotheses that are tied together to answer business questions; develop a comprehensive research plan that identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem; conduct research with appropriate methods to answer the research questions or test hypotheses.
Requirements:
10+ years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to discover new opportunities.
10+ years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
Strong background in data analysis, statistical modeling, and data visualization.
Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.
We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference.
