Data Science Manager
New York, NY
Meta
Giving people the power to build community and bring the world closer together- Perform technical data science duties and oversee a team of Data Scientists.
- Serve as an analytics leader to work on Meta’s core social media products and drive informed business decisions.
- Oversee the work of Data Scientists as they perform quantitative analysis and data mining.
- Work with one of the richest data sets in the world and cutting edge technology.
- Use analytics to drive the understanding, progression, and user engagement of a product.
- Build and maintain reports, dashboards, and metrics to monitor the performance of products.
- Present statistical data to management in order to inform, influence, and execute Meta’s product decisions.
- Drive data science efforts, communicate cross-functionally, and be a subject matter expert.
- Partner with Product and Engineering leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.
- Lead Data Scientists as they mine massive amounts of statistical data and extract useful product insights.
- Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product launches.
- Inform, influence, support and execute our product decisions.
- Support organizational efforts to screen and recruit members to the data science
team. - Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team.
- Create road maps and prioritize work to optimize the impact of the data science team.
- Develop and communicate clear requirements and goals for team members.
- Provide timely and actionable feedback on performance to team members.
- Support the individual and career growth of team members to minimize attrition and maximize impact.
- Help promote an unbiased and rewarding work environment by fairly and accurately recognizing high impact team members.
- Employer will accept a Bachelors’ degree (or foreign equivalent) in Computer Science, Software Engineering, Applied Sciences, Statistics, Mathematics, or related field, and 36 months of work experience in the job offered or in a data science or computer-related occupation
- Experience must include 36 months of experience in the following:
- 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
- 2. Data analysis and algorithm development
- 3. Optimization, probability, statistics, or machine learning
- 4. Large data stores
- 5. ETL (Extract, Transform, Load) processes
- 6. Relational databases and SQL
- 7. Development in PHP, Python or Perl
- 8. Large data sets
- 9. Large scale data processing infrastructure using distributed systems (Hadoop, Hive, MapReduce, Teradata, or MPI)
- 10. Statistical analysis packages such as: R, MATLAB, SPSS, SAS or Stata
- 11. Technical presentation skills
- 12. Working with cross-functional teams to choose/create metrics and set metric goals
- 13. Mentoring junior team members and contributing to organizational development
$289,786/year to $325,270/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Tags: Clustering Computer Science Data analysis Data Mining Distributed Systems Engineering ETL Hadoop Machine Learning Mathematics Matlab Perl PHP Physics Python R RDBMS SAS SPSS SQL Stata Statistics Teradata VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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