Data Scientist

Meta; Austin (TX); Remote; USD 217,000 - 236,000; Full time

Job summary

A leading technology company seeks a skilled Data Scientist to leverage data to drive insights and inform business strategy. The ideal candidate has a Master's degree in a related field and at least 5 years of experience in analytics, adept at Python and SQL. This job offers the flexibility of remote work and a competitive annual salary of $217,553 to $235,400, plus bonuses and equity.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• 5 years experience in analytics or related field.
• Expertise with machine learning and statistical analysis.
• Proficiency in SQL and Python or R.

Responsibilities

• Utilize data analysis to inform business decisions.
• Develop mathematical models for user behavior insights.
• Collaborate with teams to solve complex data problems.

Skills

Quantitative analysis

Machine Learning

Data mining

SQL

Python

Data visualization

Education

Master's degree in relevant field

Tools

Hadoop

Hive

Spark

Excel

Job description

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 Scientist Responsibilities:

1. Utilize advanced knowledge of quantitative analysis, management science, data mining, mathematics, Hadoop/Hive, SQL, Excel, and presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.

2. Identify actionable insights, suggest recommendations and influence the direction of Security strategy by effectively communicating results to cross functional groups, including Security strategy leadership.

3. Leverage data and mathematical principles to provide insights about user behavior, inform business decisions based on data mining and large, complex data sets, and solve large scale data infrastructure problems.

4. Predict and understand user patterns through metric analysis.

5. Work cross functionally to define problem statements, collect data, build analytical models and make recommendations.

6. Develop mathematical models and perform data analysis to drive insights to improve Meta’s operations.

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

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

9. Automate analyses and author data pipelines via SQL and Python based ETL framework.

10. Develop strong business partnerships with Security strategy leadership by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels.

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

12. Conduct ad hoc data analysis based on current team needs.

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

14. Answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders.

15. Initiating and driving projects to completion in a high cross-functional environment.

16. Telecommute from anywhere in the US permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Requires a Master’s degree (or foreign degree equivalent) in Analytics, Operations Research, Statistics, Computer Science, Computer Engineering, Applied Sciences, Mathematics, or related field, and 5 years of experience in job offered or in an analyst-related occupation.

2. Requires 60 months of experience in each of the following:

3. 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches
4. 1. Machine Learning, Statistics, or other data analysis tools and techniques
5. 1. Performing data extraction, cleaning, analysis and presentation for medium to large datasets
6. 1. At least one programming language: Python, R, Java, or C++
7. 1. Writing SQL queries
8. 1. Scientific computing and analysis packages: NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
9. 1. Statistics methods: inferential, forecasting, time series, hypothesis testing, clustering and regression analysis
10. 1. Data visualization libraries: Matplotlib, Pyplot, or ggplot2
11. 1. Working with distributed computing tools: Hadoop, Hive, or Spark

12. and 10. Applied statistics or experimentation, such as A/B testing.

Public Compensation:

$217,553/year to $235,400/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 [e-mail].