Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Meta Data science, Manager in Burlingame, California

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data science, Manager Responsibilities:

  1. Help build and lead data science teams on projects to deliver world-class products.

  2. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with our products.

  3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

  4. Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects.

  5. Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations, and influence the direction of product decisions and product launches by effectively communicating results to cross-functional groups, including Online Ops, Product, and Engineering teams.

  6. Leverage data to provide insights about user behavior and to inform business decisions.

  7. Predict and understand user patterns through analytical and statistical metric analysis.

  8. Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights.

  9. Partner with Product and Engineering teams to solve data problems and identify trends and opportunities.

  10. Build and analyze dashboards, reports, and key data sets to empower operations and exploratory analysis.

  11. Automate analyses and author data pipelines via ETL framework.

  12. Build key statistical data sets to empower operational and exploratory analysis, and automate analyses.

  13. Track current incoming volumes and trends in order to create forecasting models for operational insights.

  14. Assist in designing hypothesis testing experiments, analyze data collected, and present results.

  15. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals, and identify priorities.

  16. Train team members on the use of reporting tools and lead data-driven business case solving courses.

Minimum Qualifications:

Minimum Qualifications:

  1. Employer will accept a Master’s degree in Computer Science, Engineering, Business Administration, Applied Sciences, Mathematics, Physics or related field and 2 years of work experience in job offered or in a computer-related occupation. Experience must include 2 years of experience in the following:

  2. Quantitative analysis techniques: clustering, regression, pattern, recognition, or descriptive and inferential statistics

  3. Data analysis and algorithm development

  4. Optimization, probability, statistics, or machine learning

  5. ETL (Extract, Transform, Load) processes

  6. Relational databases and SQL

  7. Development in PHP, Python or Perl

  8. Large scale data processing infrastructure using distributed systems (Hadoop, Hive, MapReduce, Teradata, or MPI)

  9. Statistical analysis packages such as: R, MATLAB, SPSS, SAS, or Stata

  10. Technical presentation skills

  11. Working with cross-functional teams to choose/create metrics and set metric goals and

  12. Mentoring junior team members and contributing to organizational development

Public Compensation:

$250,935/year to $279,400/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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