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Meta AR/VR Job | Decision Scientist, AR

Job(岗位): Decision Scientist, AR

Type(岗位类型): Analytics

Citys(岗位城市): New York, NY

Date(发布日期): 2023-6-2

Summary(岗位介绍)

The Marketing team focuses on building Meta’s brand presence by improving user sentiment, product education and selling our products. Our Marketing team seeks to understand how our users feel about our products so we can help people better understand Meta’s intent and mission and guide our users to key features that can enrich their lives. The Decision Science team provides insightful analytics on consumer perception of the Meta experience as a consultative partner to our Marketing team so we can better connect our users to our products.

In the AR space, we’re building the next generation of devices and experiences that let you experience anything, anywhere, with anyone. We are looking for an experienced decision scientist to provide actionable business insights to help grow AR device market share. The ideal candidate will thrive at the intersection of data, human behavior, marketing, product, and engineering. They 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. Strong time management and communication skills are critical.

Qualifications(岗位要求)

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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

8+ years of experience with a Bachelors (or 6+ years with a Masters or 3+ years with a PhD) in 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.

Experience finding, cleaning, and manipulating data to build data sets.

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

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 including brand strategists, marketing researchers, product marketing managers, and engineers.

Description(岗位职责)

Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results

Empathize with Meta products users’ attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform

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

Translate data insights into actions and recommendations that will drive brand sentiment, user growth and 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

Additional Requirements(额外要求)

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

Management consulting experience or a similar career requiring one to present data-driven insights to business audiences

Experience developing data pipelines

Experience writing production code for automated models

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

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