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Urgent! Data Scientist, Threads Relevance & Recommendations Job Opening In New York – Now Hiring Meta
**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, Threads Relevance & Recommendations Responsibilities:
1.
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.
2.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
3.
Inform, influence, support, and execute our product decisions and product launches.
4.
Forecast and set 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.
5.
Propose 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.
6.
Influence product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc.
7.
to product teams and spreading best practices to analytics and product teams.
8.
Work in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.
**Minimum Qualifications:**
Minimum Qualifications:
9.
Bachelor’s degree (or foreign equivalent) in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field and 12 months of experience in the job offered or in a related occupation
10.
Requires 12 months of experience in each of the following skills:
11.
1.
Performing quantitative analysis including data mining on highly complex data sets
12.
2.
Data querying language: SQL
13.
3.
Scripting language: Python
14.
4.
Statistical or mathematical software including one of the following: R, SAS, or Matlab
15.
5.
Applied statistics or experimentation, such as A/B testing, in an industry setting
16.
6.
Machine learning techniques
17.
7.
ETL (Extract, Transform, Load) processes
18.
8.
Relational databases
19.
9.
Large-scale data processing infrastructures using distributed systems
20.
10.
Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
21.
11.
Python
22.
12.
R
23.
13.
Machine learning
24.
14.
Exploratory data analysis
25.
15.
Natural language processing
26.
16.
Deep learning
27.
17.
Statistical modeling
28.
18.
SQL
29.
19.
Product analytics
**Public Compensation:**
$220,539/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 accommodations-ext@fb.com.
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in New York, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in New York, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 53312 jobs in United States and 2351 jobs in New York. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meta is currently hiring and seeking a Data Scientist, Threads Relevance & Recommendations to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meta adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist, Threads Relevance & Recommendations Jobs United States varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist, Threads Relevance & Recommendations typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Scientist, Threads Relevance & Recommendations interview at Meta, research the company, understand the job requirements, and practice common interview questions.
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