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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  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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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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Meta Platforms, Inc. Data Scientist, Analytics in Seattle, Washington

Employer:            META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Title:              Data Scientist, Analytics

Job Code:             REQ-2404-136173

Job Location:        Seattle, Washington

Job Type:              Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary:                 $177,556/year to $196,900/year + bonus + equity + benefits.

 

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.

 

Duties:

 

Apply your 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. The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics. Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems. Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams. Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

 

Requirements:

 

Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics or a related field. Foreign degree equivalent accepted. Requires 36 months in the job offered or in a related occupation. Experience must include 36 months involving the following: 1. Machine learning techniques; 2. Relational database (SQL or PL*SQL); 3. Statistical analysis using R, MATLAB, SPSS, SAS, Python, or Stata; 4. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics; and 5. Communicating and presenting results of data analyses.

To apply, please send resume to the following email address SWApplicant@fb.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: [REQ-2404-136173].

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