Data Scientist (Product)
San Francisco, CA
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute our product decisions and product launches.
- May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
- Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Requires a Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and 2 years of experience in the job offered or in a related occupation.
- Requires 24 months of experience involving the following:
- 1. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- 2. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- 3. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products
- 4. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations
- 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions and
- 7. Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework
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.
Tags: Computer Science Data Analytics Data Mining Engineering ETL Hadoop Mathematics MySQL Oracle Physics Pipelines Python R SQL Statistics VR
Perks/benefits: Equity / stock options Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Developer jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open BI Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Engineer jobs
- Open Sr Data Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open Privacy-related jobs
- Open Data pipelines-related jobs
- Open ML models-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Data visualization-related jobs
- Open TensorFlow-related jobs
- Open Business Intelligence-related jobs
- Open Consulting-related jobs
- Open Deep Learning-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Snowflake-related jobs