3 senior data scientist Jobs in menlo park, ca
Meta is Hiring a Data Scientist Near Menlo Park, CA
Data Scientist Responsibilities
- Analyze data and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams.
- Leverage data to provide insights about user behavior and to inform business decisions.
- Predict and understand user patterns through analytical and statistical metric analysis.
- Apply quantitative skills in predictive modeling, statistical analysis, A/B tests, regression models, and machine learning to gather data insights.
- Partner with Product and Engineering teams to solve data problems and identify trends and opportunities.
- Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis.
- Automate analyses and author data pipelines via ETL framework.
- Develop strong business partnerships with the Online Ops, Product, and Engineering teams by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.
- Build key statistical data sets to empower operational and exploratory analysis, and automate analyses.
- Track current incoming volumes and trends in order to create forecasting models for operational insights.
- Assist in designing hypothesis testing experiments, analyze data collected and present results.
- Conduct ad hoc data analysis based on current team needs.
- Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities.
- Train team members on the use of reporting tools and lead data-driven business case solving courses.
- Requires a Master's degree in Statistics and Operations Research, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Position also requires completion of a university-level course/research project/internship/thesis in the following:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Scripting language: Python
- 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
- 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 6. Machine learning techniques
- 7. ETL (Extract, Transform, Load) processes
- 8. Relational databases
- 9. Large-scale data processing infrastructures using distributed systems
- 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
- 11. Communicating insights and analytical results from data and statistical analysis.
Job Summary
Full Time
$135k-166k (estimate)
04/27/2024
05/10/2024
meta.ua
REDWOOD CITY, CA
50 - 100
2013
Private
REMCO WESTERMANN
<$5M
Business Services
Related Companies
About Meta
META is an online media platform that publishes news on politics, weather, sports, health, finance, lifestyle and entertainment segments.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
