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.

Production Support Engineer

Company: Galaxy Digital

Location: New York, NY

Posted Jun 09, 2025

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. You’ll provide high-quality client support, diagnose and resolve…

Sr Software Engineer

Company: General Motors

Location: Austin, TX

Posted Jun 09, 2025

Work with technical leads and peers to implement modern design patterns and architectural best practices. Bachelor’s or master’s degree in computer science,…

Senior Machine Learning Engineer, Specialist

Company: Vanguard

Location: Malvern, PA

Posted Jun 09, 2025

Solid understanding of software engineering principles, including design patterns, testing, security, and version control.

Director, Wholesale Marketing

Company: Global Partners

Location: United States

Posted Jun 09, 2025

Demonstrated skills and ability to develop strategy, budget and brand management. Build productive and professional relationships with customers and cross-…

Controller

Company: Gourmondo Catering Co

Location: Seattle, WA

Posted Jun 09, 2025

Bachelor’s degree in Accounting, Finance, or related field; CPA or CMA required. Ensure compliance with federal, state, and local tax requirements.

Visual Information Specialist

Company: VENESCO, LLC

Location: San Diego, CA

Posted Jun 09, 2025

A minimum of a Bachelor’s degree in media design, digital media, interactive media or a related field; 2 years of DoD experience may be submitted in lieu of a…

Class B Delivery Driver

Company: Individual Foodservice

Location: Bell, CA

Posted Jun 09, 2025

Will possess a Valid Class B driver's license required. Experience driving Straight truck (bobtail 24ft to 26ft) Manual transmission preferred.

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