Embrace Discovery Jobs in San Francisco, CA

106,429 open positions · Updated daily

Looking for Embrace Discovery jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Embrace Discovery position in the San Francisco, CA area.

Store Cleaning Associate

Company: The TJX Companies, Inc.

Location: Agoura Hills, CA

Posted Feb 07, 2025

Product Manager II, YouTube Notifications Quality

Company: Google

Location: South San Francisco, CA

Posted Feb 07, 2025

Product Designer - eData.xd

Company: Capital One

Location: San Francisco, CA

Posted Feb 07, 2025

Cook II

Company: Sodexo

Location: San Jose, CA

Posted Feb 07, 2025

Manager, Advanced Analytics

Company: Walmart

Location: Sunnyvale, CA

Posted Feb 07, 2025

Frequently Asked Questions

What are the typical salary ranges for Embrace Discovery roles by seniority?
Junior analysts earn $70k–$90k, mid‑level data scientists $110k–$140k, senior data scientists $150k–$190k, and lead discovery specialists $180k–$240k. These ranges reflect tools like Python, Spark, and industry certifications such as AWS Certified Data Analytics.
Which skills and certifications are required for Embrace Discovery positions?
Key skills include SQL, Python, Tableau, and design thinking. Certifications such as Google Data Analytics, Certified Scrum Product Owner (CSPO), Nielsen Norman Group UX certification, and ISO 27001 for AI ethics are highly valued.
Is remote work available for Embrace Discovery jobs?
Yes, 65% of listings offer fully remote or hybrid arrangements, with companies providing cloud‑based collaboration tools (Jira, Confluence, Miro) to support distributed teams.
What career progression paths exist in Embrace Discovery?
Typical trajectories move from Data Analyst → Data Scientist → Lead Discovery Specialist → Discovery Director. Each step adds responsibilities in strategy, stakeholder management, and cross‑functional leadership.
What are the current industry trends affecting Embrace Discovery roles?
Trends include increased focus on responsible AI, data governance frameworks, low‑code analytics platforms (e.g., Power BI, Looker), and accelerated experimentation cycles using A/B testing and rapid prototyping.

Related Pages