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Urgent! Data Scientist (Technical Leadership) Job Opening In Olympia – Now Hiring Meta
**Summary:**
We are seeking experienced Data Scientists to join our team and drive impact across various product areas.
As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis.
Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company.
You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them.
You will tell data-driven stories, present clear insights, and build credibility with stakeholders.
By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1.
Work with complex data sets to solve challenging problems using analytical and statistical approaches
2.
Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3.
Identify and measure success through goal setting, forecasting, and monitoring key metrics
4.
Partner with cross-functional teams to inform and execute product strategy and investment decisions
5.
Build long-term vision and strategy for programs and products
6.
Collaborate with executives to define and develop data platforms and instrumentation
7.
Effectively communicate insights and recommendations to stakeholders
8.
Define success metrics, forecast changes, and set team goals
9.
Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11.
Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12.
8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13.
Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14.
Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15.
Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16.
10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17.
Masters or Ph.D. Degree in a quantitative field
18.
Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19.
10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/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 Olympia, 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 Olympia, 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 53449 jobs in United States and 257 jobs in Olympia. 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 (Technical Leadership) 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 (Technical Leadership) Jobs United States varies, but the pay scale is rated "Standard" in Olympia. 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 (Technical Leadership) 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist (Technical Leadership) interview at Meta, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meta's products or services and be prepared to discuss how you can contribute to their success.
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