Data Scientist, Analytics (Technical Leadership)

Overview

Meta is inviting experienced Data Scientists to apply for the position of Data Scientist, Analytics (Technical Leadership). This role is pivotal for those looking to make a significant impact across various product areas by harnessing analytical skills in a collaborative environment.

Job Responsibilities

As a Data Scientist at Meta, you will have a diverse range of responsibilities, including:

Working with complex data sets to resolve intricate problems utilizing both analytical and statistical approaches.
Applying technical expertise in quantitative analysis, experimentation, and data mining to formulate strategic product plans.
Identifying and measuring success through goal setting, forecasting, and monitoring key performance metrics to assist in product development.
Partnering with cross-functional teams to inform and execute product strategies, ensuring the alignment of product vision with analytics efforts.
Building a long-term vision for programs and collaborating with high-level executives to define and develop essential data platforms.
Communicating insights and recommendations effectively to various stakeholders, ensuring clarity and actionability.
Supporting the development of roadmaps while coordinating analytics efforts across different teams within the organization.

Required Skills

Candidates interested in this role should possess the following qualifications:

A Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
5+ years of experience with data querying languages like SQL, as well as scripting languages (e.g., Python) or statistical software (e.g., R, SAS, Matlab).
At least 8 years of experience leading analytics work within an individual contributor role, collaborating with Engineering and cross-functional teams.
Proficiency in managing complex analytics projects and effectively collaborating with multi-disciplinary teams, including Product Management, Technical Program Management, Analytics, and Finance.
Expertise in predictive modeling, machine learning, and experimentation/causal inference methods.
Proven communication skills, articulating technical concepts clearly to leadership teams and influencing strategic decisions.
A Master's degree or Ph.D. in a quantitative field is preferred, along with 10+ years of experience performing complex quantitative analysis in product analytics.
Demonstrated experience with integrating AI tools to enhance workflows and drive measurable impact, including efficiency gains and quality improvements.
Ability to implement ethical AI practices, including risk assessments and bias mitigations.
Continuous development of AI skills and a commitment to staying up-to-date with emerging technologies.

Salary and Contract Information

The position is being offered as a full-time contract. Although the salary details were not specified, working in such a significant tech company like Meta usually comes with competitive remuneration and benefits reflecting the high skill requirements.

Work Environment and Culture

Becoming a part of Meta means contributing to a world-class analytics community focused on skill development and career growth. Team members are expected to collaborate with cross-functional partners, ensuring that analytical insights shape the company’s product strategies. This role is designed for innovative thinkers who can leverage data to drive positive change and deliver maximum value to users and the organization alike.

Summary of Opportunities for Job Seekers

This position represents a substantial opportunity for data scientists seeking to advance their careers in a dynamic environment. It offers:

The chance to work with cutting-edge analytics techniques and technologies, including AI and machine learning.
Collaboration with cross-functional teams, including executives, which can enhance one's professional network.
The ability to influence major product development decisions, ensuring that your analytical insights shape the future of Meta's offerings.

The role of a Data Scientist at Meta not only requires strong technical skills but also emphasizes the importance of collaboration, effective communication, and ethical data practices. The dynamic nature of this position will equip candidates with the skills necessary to thrive in a fast-paced technological landscape.

Conclusion

In conclusion, the Data Scientist, Analytics (Technical Leadership) role at Meta appeals to seasoned professionals eager to utilize their data expertise in a high-impact environment. This full-time position provides the opportunity for significant personal and professional growth while contributing to innovative product strategies—all within one of the leading tech companies in the world.

This job offer was originally published on jobicy.com