Data Scientist, Analytics

$201,884 - $235,400/Yr

Meta - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

5,001-10,000 employees

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About the position

The Data Scientist, Analytics role at Meta Platforms, Inc. involves leveraging technical skills and analytical expertise to address complex product and business challenges using one of the largest data sets globally. The position requires collaboration with various cross-functional teams to influence product strategy and investment decisions through data-driven insights. The role emphasizes the importance of developing hypotheses and employing diverse analytical methodologies to guide product development and ensure value delivery to users and businesses.

Responsibilities

• Apply technical skills and analytical mindset to solve product development challenges.
• Collaborate with cross-functional partners across various departments including Product, Engineering, and Marketing.
• Use data and analysis to influence product strategy and investment decisions.
• Identify and quantify new opportunities and challenges in product development.
• Guide teams in prioritizing projects and setting goals based on data insights.
• Develop hypotheses and employ rigorous analytical approaches to test them.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Economics, Statistics, or related field.
• Two years of experience in data analysis or related occupation.
• Experience with SQL for data extraction from relational databases.
• Experience with large scale data processing infrastructures like Hadoop, Hive, or MapReduce.
• Proficiency in Python for developing reproducible scripts and statistical analyses.
• Knowledge of machine learning techniques such as clustering, regression, and pattern recognition.
• Experience in setting up and analyzing A/B tests, including determining statistical significance.

Benefits

• Competitive salary with bonus and equity options.
• Comprehensive health insurance coverage.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Professional development opportunities.