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META PLATFORMS, INC. (f/k/a Facebook, Inc.) Data Scientist in Seattle, Washington

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

Job Title:                Data Scientist

Job Code:               REQ-2403-134991

Job Location:         Seattle, Washington

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

 

Salary: $205,380/year to $235,400/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:

 

Perform large-scale data analysis and develop effective statistical models for segmentation, classification,optimization, time series, etc. Design and implement reporting dashboards that track key business metrics and provide actionable insights. Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross-functional groups. Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions. Prioritize leads so that the teams work on the most valuable cases. Suggest improvements in the tools and techniques to help scale the team.

 

Requirements:

 

Requires a Master's degree in Computer Science, Engineering, Mathematics, Applied Statistics, Analytics or a closely related field of study and 6 months in the job offered or in a related occupation. Foreign degree equivalent accepted.   Requires 6 months of experience involving the following:  • Machine learning techniques;  • Working with large data sets and network-based data (TCP or HTTP);  • ETL (Extract, Transform, Load) processes;  • MATLAB;  • Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI);  • Quantitative analysis techniques: clustering, regression, or pattern recognition; and  • Micro services & Containers with Docker and Kubernetes.

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-2403-134991.

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