Lead Data Scientist

Post Date

Aug 27, 2025

Location

Menlo Park,
California

ZIP/Postal Code

94025
US
Nov 04, 2025 Insight Global

Job Type

Contract

Category

Data Warehousing

Req #

SJC-921fe741-9b34-4a36-940b-30ea4b0d5109

Pay Rate

$70 - $88 (hourly estimate)

Job Description

Insight Global is seeking an experienced and strategic Lead Data Scientist to join the Edge Network Services (ENS) division. This role will lead the M360 Analytics project, a critical initiative aimed at enhancing operational efficiency through data-driven decision-making, robust metrics development, and automation of key financial tracking systems.

As a senior member of the ENS Analytics team, you will drive the design of scalable data solutions, oversee the development of L1/L2/L3 metrics, and lead the automation of Opex and Capex tracking. You will also mentor junior data scientists, collaborate with cross-functional stakeholders, and ensure the delivery of high-impact insights through dashboards, reports, and self-service analytics tools.

Key Responsibilities:
Lead the design and implementation of scalable data pipelines and analytics infrastructure.
Define and govern L1/L2/L3 operational metrics to monitor and optimize ENS performance.
Oversee the automation of Opex and Capex tracking systems to support financial planning.
Mentor and guide junior data scientists and analysts on best practices and project execution.
Collaborate with engineering, finance, and operations teams to align data strategies with business goals.
Develop and maintain dashboards and self-service tools for real-time data access and decision-making.
Ensure data quality, consistency, and governance across all analytics outputs.
Conduct advanced statistical analysis and modeling to uncover insights and drive strategic decisions.
Present findings and recommendations to senior leadership and stakeholders.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Skills & Experience

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
7+ years of experience in data science, analytics, or a related field.
2+ years of experience in a leadership or mentorship role.
Proficiency in SQL and at least one programming language (Python or R preferred).
Expertise in data visualization tools (e.g., Tableau, Power BI, or internal equivalents).
Strong background in data modeling, ETL processes, and data warehousing.
Familiarity with cloud platforms and big data technologies (e.g., Hive, Presto, Spark).

Nice to Have Skills & Experience

Experience in infrastructure, network services, or operations analytics.
Knowledge of financial tracking systems and cost optimization strategies.
Familiarity with Meta’s internal data tools and platforms (if applicable).
Experience with experimentation frameworks and A/B testing.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.