Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
Data Scientist, Threads Relevance & Recommendations at Meta
New York, New York, USA -
Full Time

Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

235400.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Distributed Systems, Exploratory Data Analysis, Statistical Modeling, Statistics, Data Mining, Computer Science, Relational Databases, Learning Techniques, A/B Testing, Matlab, Mathematics, Sql, Python, Load, Machine Learning, Data Science, R, Deep Learning, Etl, Sas

Industry

Information Technology/IT

Description

MINIMUM QUALIFICATIONS

  • 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
  • Requires 12 months of experience in each of the following skills:

    1. Performing quantitative analysis including data mining on highly complex data sets


      1. Data querying language: SQL


        1. Scripting language: Python


          1. Statistical or mathematical software including one of the following: R, SAS, or Matlab


            1. Applied statistics or experimentation, such as A/B testing, in an industry setting


              1. Machine learning techniques


                1. ETL (Extract, Transform, Load) processes


                  1. Relational databases


                    1. Large-scale data processing infrastructures using distributed systems


                      1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics


                        1. Python


                          1. R


                            1. Machine learning


                              1. Exploratory data analysis


                                1. Natural language processing


                                  1. Deep learning


                                    1. Statistical modeling
                                    Responsibilities
                                    • 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.
                                    • 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.
                                    • 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.
                                    • Influence 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.
                                    • Work in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.