META
Summary:
At Meta Platforms, Inc. (formerly known as Facebook Inc.), we are committed to building technologies that connect people, foster community, and enhance business growth. Since the launch of Facebook in 2004, we have transformed how individuals interact. Our portfolio includes Messenger, Instagram, and WhatsApp, empowering billions globally. As we embark on creating immersive experiences through augmented and virtual reality, we invite you to be a part of this next evolution in social technology.
Role Overview:
We are searching for a passionate Data Scientist - Analytics to tackle challenging problems using large and complex datasets. You will apply your technical expertise to drive insights that will influence our products and strategies, impacting billions of users and millions of businesses.
Key Responsibilities:
Analyze large datasets to solve diverse and complex problems through various analytical and statistical methods.
Utilize quantitative analysis, experimentation, and data mining to devise strategies that enhance our products.
Measure the success of product initiatives with goal setting, forecasting, and monitoring of vital product metrics to identify trends.
Identify performance improvement opportunities and guide product roadmaps with your insights and recommendations.
Collaborate with Product, Engineering, and other cross-functional teams to inform and influence product strategy and investment decisions.
Minimum Qualifications: Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field with 24 months of experience in data analytics or a related role. Equivalent foreign degree is accepted.
Experience in the following areas: Conducting quantitative analyses and data mining on complex datasets. Proficiency in data querying languages like SQL. Proficient in scripting languages such as Python. Utilization of statistical software like R, SAS, or MATLAB. Experience with applied statistics or experimentation (e.g., A/B testing) in a professional setting. Knowledge of machine learning techniques. Understanding of ETL (Extract, Transform, Load) processes. Experience with relational databases. Knowledge of large-scale data processing infrastructures. Expertise in quantitative analysis techniques including clustering, regression, and descriptive/inferential statistics.
Compensation: The salary range for this position is $189,953 to $196,900 per year, plus bonus, equity, and benefits. Industry:
Internet Equal Opportunity Statement: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe in diversity and do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other legally protected status. We also consider qualified applicants with criminal histories in line with applicable laws. Meta participates in the E-Verify program where required. We are committed to providing reasonable accommodations for candidates with disabilities throughout our recruiting process. If you require assistance or accommodations due to a disability, please let us know.
Utilize quantitative analysis, experimentation, and data mining to devise strategies that enhance our products.
Measure the success of product initiatives with goal setting, forecasting, and monitoring of vital product metrics to identify trends.
Identify performance improvement opportunities and guide product roadmaps with your insights and recommendations.
Collaborate with Product, Engineering, and other cross-functional teams to inform and influence product strategy and investment decisions.
Minimum Qualifications: Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field with 24 months of experience in data analytics or a related role. Equivalent foreign degree is accepted.
Experience in the following areas: Conducting quantitative analyses and data mining on complex datasets. Proficiency in data querying languages like SQL. Proficient in scripting languages such as Python. Utilization of statistical software like R, SAS, or MATLAB. Experience with applied statistics or experimentation (e.g., A/B testing) in a professional setting. Knowledge of machine learning techniques. Understanding of ETL (Extract, Transform, Load) processes. Experience with relational databases. Knowledge of large-scale data processing infrastructures. Expertise in quantitative analysis techniques including clustering, regression, and descriptive/inferential statistics.
Compensation: The salary range for this position is $189,953 to $196,900 per year, plus bonus, equity, and benefits. Industry:
Internet Equal Opportunity Statement: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe in diversity and do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other legally protected status. We also consider qualified applicants with criminal histories in line with applicable laws. Meta participates in the E-Verify program where required. We are committed to providing reasonable accommodations for candidates with disabilities throughout our recruiting process. If you require assistance or accommodations due to a disability, please let us know.