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Data Scientist, Product Analytics

Meta

Seattle (WA)

On-site

USD 4,000 - 134,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Data Scientist, where your analytical skills will shape the future of innovative products used by billions. You will work with vast datasets, applying your expertise in data analysis and statistical methods to influence product strategy and enhance user experiences. Collaborating with cross-functional teams, you will tackle challenging problems and drive impactful decisions that resonate across the globe. This role offers a unique opportunity to grow within a world-class analytics community, dedicated to your professional development and career advancement.

Benefits

Bonus
Equity
Comprehensive Benefits

Qualifications

  • Pursuing a Bachelor's or Master's degree in a relevant field.
  • Experience with data querying languages and scripting languages.

Responsibilities

  • Work with large data sets to solve complex problems.
  • Apply quantitative analysis and experimentation to develop product strategies.
  • Define and measure success of product efforts through key metrics.

Skills

Data Analysis
Statistical Analysis
Data Mining
SQL
Python
R
Communication Skills

Education

Bachelor's degree in Mathematics
Bachelor's degree in Statistics
Bachelor's degree in Computer Science
Master's degree in a relevant technical field

Tools

Statistical/Mathematical Software

Job description

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your 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 wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use 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 and beyond.

Product leadership:

You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics:

You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence:

You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will strive to build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist, Product Analytics Responsibilities
  1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  2. Apply technical expertise with 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.
  3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
  5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications
  1. Currently has or is pursuing a Bachelor's and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  2. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
  3. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  4. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications
  1. Experience in collaborating with individuals and organizations.
  2. Experience working with large scale dataset.
  3. Internship experience in solving analytical problems using quantitative approaches.

US$46.63/hour to US$134,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity 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.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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