Data Scientist, Analytics

Lensa; Sacramento (CA); Remote; USD 189,000 - 197,000; Full time

Job summary

Lensa is seeking an experienced Data Scientist to join their team, focusing on leveraging complex data sets to enhance product strategies. The ideal candidate will have a strong background in data analysis, machine learning, and relevant qualifications. This role offers competitive compensation within industry standards, alongside opportunities for growth in the evolving landscape of data analytics.

Qualifications

• Requires 24 months experience in quantitative analysis and data mining.
• Familiarity with machine learning techniques and ETL processes.
• Competence in relational databases and large-scale data processing.

Responsibilities

• Work with large and complex data sets to solve a wide array of problems.
• Identify and measure success of product efforts through goal setting.
• Partner with cross-functional teams to drive product strategy.

Skills

Data mining

Statistical analysis

Machine learning

Quantitative analysis

Data querying languages

Scripting languages

Education

Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science

Tools

SQL

Python

R

SAS

Matlab

Job description

1 day ago Be among the first 25 applicants

Lensa partners with DirectEmployers to promote this job for 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, Analytics Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
• Telecommuting is permitted from anywhere in the United States.
  
  

Minimum Qualifications

Minimum Qualifications:

• Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted
• Requires 24 months of experience in the following:
• Performing quantitative analysis, including data mining on highly complex data sets
• Data querying languages, including SQL
• Scripting languages, including Python
• Statistical or mathematical software, including R, SAS, or Matlab
• Applied statistics or experimentation, such as A/B testing, in an industry setting
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational databases
• Large-scale data processing infrastructures using distributed systems and
• Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
  

Public Compensation

$189,953/year to $196,900/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].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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