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 Designer, Presentations - Apple Ads Marketing

Company: Apple

Location: Cupertino, CA

Posted Aug 31, 2025

Translate initial marketing and design concepts into polished, high-quality presentations that meet technical specifications and brand guidelines Produce final…

Project Manager - Workday Systems

Company: Integral Care

Location: Austin, TX

Posted Aug 29, 2025

Current and valid driver's license and a clean driving record. Job Summary: *We are seeking a certified Workday Systems Administrator to lead the technical…

Senior Data Science Engineer, Football

Company: DraftKings

Location: Las Vegas, NV

Posted Aug 29, 2025

A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field.

Project Manager - Finance/HCM

Company: Integral Care

Location: Austin, TX

Posted Aug 29, 2025

Current and valid driver's license and a clean driving record. Bachelor's degree in Information Systems, Computer Science, Business Administration, or a related…

On-Premise Market Manager - Topo Chico - Los Angeles, CA

Company: Greenhouse Agency

Location: Los Angeles, CA

Posted Aug 29, 2025

Secure programming that complies with all state/local laws and corporate directives. Drive guest marketing programs to deliver best-in-class execution in on-…

Software Engineer - Data

Company: Apple

Location: San Diego, CA

Posted Aug 30, 2025

Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind.

Anti-Fraud Data Analyst - USDS

Company: TikTok

Location: Seattle, WA

Posted Aug 29, 2025

Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional…

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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