Embrace Discovery Jobs

164,172 open positions · Updated daily

With 1,219 openings, Embrace Discovery roles are at the forefront of data‑driven product innovation. Organizations are hiring analysts, data scientists, and discovery specialists to unlock hidden patterns in large‑scale datasets, accelerate AI model deployment, and guide product roadmaps.

Typical positions include Data Scientist (Python, SQL, Scikit‑learn), Product Discovery Lead (Agile, Jira, Figma), UX Researcher (Nielsen Norman Group certification, usability testing), Data Engineer (Spark, Snowflake, Airflow), and AI Ethicist (ISO 27001, GDPR expertise). Core duties span data pipeline design, hypothesis testing, user journey mapping, and ethical AI governance.

Transparent salaries enable discovery professionals to benchmark their compensation against peers, negotiate based on skill depth, and avoid under‑paying roles that demand advanced analytical or regulatory knowledge. Knowing exact pay ranges also helps companies attract talent who prioritize fair valuation.

Data Analyst

Company: Spring EQ LLC

Location: Conshohocken, PA

Posted Jul 26, 2025

Excellent written and verbal communication skills for presenting complex data findings in a clear and concise manner to both technical and non-technical…

Associate / Software Engineer

Company: Northrop Grumman

Location: Los Angeles, CA

Posted Jul 26, 2025

Experience with Git-based or other software configuration management tools. Experience with Git-based or other software configuration management tools.

Cyber Defense Senior Analyst

Company: LPL Financial

Location: Tempe, AZ

Posted Jul 25, 2025

Identify IT security risks from technical and functional perspectives. College degree in associated field. Triage, investigate and respond to events produced by…

Cybersecurity Controls Analyst - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Jul 26, 2025

This candidate will be responsible for collaborating with cross-functional control owners to consult and provide guidance for the design and implementation of…

Senior Graphic Designer - Hot Wheels

Company: Mattel

Location: El Segundo, CA

Posted Jul 25, 2025

The ideal candidate has a solid understanding of graphic illustration design, character design and possess excellent sketch skills with proven visual design…

Roofing Service Tech- TRAVELING

Company: Simon Roofing

Location: Dallas, TX

Posted Jul 25, 2025

Always follow safety on the job and while driving. Inspect problem roofs, perform roof repair, and preventative maintenance.

Solutions Engineer, Software (Java/AWS/Guidewire)

Company: Liberty Mutual

Location: Plano, TX

Posted Jul 25, 2025

Proficient in Integration Gateway (IG) concepts such as camel routes, error handling, and secure external calls, and is comfortable using cloud deployment tools…

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.

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