Embrace Discovery Jobs

Positions 164,329 Updated daily

Embrace Discovery roles sit at the intersection of data science, IoT, and domain expertise, driving breakthroughs in pharma, energy, and consumer research. The surge in real‑time sensor data and AI‑driven analytics has pushed companies to hire talent that can translate raw streams into market‑shaping insights, creating a high‑demand landscape for experts who can build end‑to‑end discovery pipelines.

Common positions include Discovery Data Scientist, Platform Engineer, Edge‑Analytics Architect, Discovery Analyst, and Product Lead for discovery solutions. Typical responsibilities cover designing machine‑learning models that sift through terabytes of sensor data, building scalable streaming pipelines on Kubernetes, crafting interactive dashboards with Tableau or Power BI, and collaborating with product managers to translate analytical findings into user‑friendly tools.

Transparent salary information is vital for Embrace Discovery professionals because the field demands niche skills that are scarce and highly valued. Knowing the market rate for roles such as ML‑Ops Engineer or Edge‑Analytics Specialist empowers candidates to negotiate compensation that reflects the cost of acquiring and retaining talent capable of driving innovation and meeting regulatory compliance standards.

Software Engineer Intern - AI Accelerators Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research emphasizes innovation, problem-solving, and technological advancement in AI accelerators. The role involves software development, hardware-software co-optimization, and research in AI applications. Required expertise includes AI accelerators, compilers, and prototyping, with a focus on impactful, cutting-edge solutions.

Brand Technical Specialist– Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's Brand Technical Specialist role emphasizes collaboration, technical expertise, and career growth, offering opportunities to innovate and solve complex business challenges through tailored solutions and digital transformation initiatives.

Principal Product Manager AI/ML Initiatives

Company: eClinical Solutions

Location: Remote

Posted Dec 08, 2025

eClinical Solutions seeks a Principal Product Manager to lead AI-driven innovations in clinical trials. The role emphasizes strategic vision, cross-functional collaboration, and impactful AI solutions. The company highlights a culture of inclusivity and growth opportunities.

EC Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights opportunities to work with global clients on innovative SAP solutions, emphasizing collaboration, technical expertise, and career growth. It outlines requirements for experienced consultants with strong leadership and problem-solving skills, while showcasing IBM's commitment to professional development and impactful client outcomes.

Principal Product Manager - Data Centers

Company: Utilidata

Location: Remote

Posted Dec 08, 2025

Utilidata, an NVIDIA-backed edge AI company, is seeking a Principal Product Manager to lead integration of their distributed AI platform in data centers. The role involves product strategy, cross-functional collaboration, and market research to drive adoption in the expanding data center market.

Account Director - Life Sciences

Company: H1

Location: USA

Posted Dec 08, 2025

H1's mission is to provide equitable healthcare through data and AI, with a focus on innovation and customer partnerships. They offer competitive compensation and a supportive work environment.

Lead Product Designer - Enterprise

Company: Zapier

Location: North America

Posted Dec 08, 2025

Zapier promotes responsible AI use and seeks a Lead Product Designer to build governance frameworks for enterprise automation, emphasizing innovation, collaboration, and inclusive hiring practices.

Senior Machine Learning Engineer - Dev Platform Data and Discovery

Company: Reddit

Location: Remote

Posted Dec 08, 2025

This job posting highlights a role in developing engaging experiences for Reddit communities, emphasizing collaboration, innovation, and impactful projects. It outlines responsibilities involving machine learning, system design, and team leadership, along with competitive benefits like healthcare, equity, and flexible work arrangements.

Senior Managing Consultant - SAP HANA SCM SD (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, innovation in hybrid cloud and AI, career development opportunities, and technical expertise in SAP solutions. It emphasizes collaboration with global clients and the use of proven methodologies to deliver impactful results.

Commercial Account Executive

Company: DirectDefense

Location: USA

Posted Dec 08, 2025

DirectDefense seeks a Commercial Account Executive with B2B sales experience in cybersecurity. The role offers career growth, competitive salary ($70k-$90k), and comprehensive benefits. The company emphasizes trust, results, and advanced security solutions.

Account Director - Life Sciences and Pharma

Company: H1

Location: USA

Posted Dec 08, 2025

H1's mission focuses on advancing healthcare equity through data and AI innovation, emphasizing trust in healthcare systems and impactful work in biotech. The job posting highlights strategic account management roles with opportunities for growth, collaboration, and competitive compensation.

Senior Product Designer

Company: Leonardo.Ai

Location: Australia

Posted Dec 08, 2025

LeonardoAi seeks a Senior Product Designer to shape user experiences for AI tools. The role involves collaborative design, iterative prototyping, and contributing to an inclusive culture with flexible work options and growth opportunities.

Frequently Asked Questions

What are typical salary ranges by seniority in Embrace Discovery?
In the United States, a Junior Discovery Engineer can expect $70,000–$90,000 annually. Mid‑level roles such as Discovery Data Scientist or Platform Architect range from $110,000 to $150,000. Senior positions—Lead Discovery Architect or Director of Discovery—typically command $170,000 to $220,000, and compensation can increase with equity or performance bonuses in larger firms.
What skills and certifications are required?
Key technical skills include Python, SQL, and Spark for data pipelines; TensorFlow or PyTorch for model development; Kubernetes and Docker for container orchestration; and cloud platforms like AWS (Certified Data Analytics Specialty), Azure Data Engineer, or GCP BigQuery. Domain knowledge in healthcare regulations (HIPAA), energy standards (ISO 50001), or market‑research methodologies is essential. Certifications such as Certified Analytics Professional (CAP), AWS Certified Data Analytics, or Google Cloud Professional Data Engineer enhance credibility.
Is remote work available for Embrace Discovery roles?
Most Embrace Discovery roles are remote‑friendly or hybrid, especially in companies that rely on cloud‑native discovery platforms. Tech giants, biotech startups, and consulting firms routinely offer fully remote positions with robust collaboration tools, while on‑site roles are usually limited to regional data centers or product labs.
What career progression paths exist?
A typical career ladder starts with Discovery Analyst or Junior Engineer, moves to Senior Engineer or Lead Data Scientist, then to Discovery Architect or Product Lead, and finally to Director of Discovery or Chief Data Officer. Progression often requires demonstrated expertise in building production‑grade discovery pipelines, cross‑functional leadership, and publishing findings in industry conferences.
What are the current industry trends for Embrace Discovery?
Current trends include AI‑driven hypothesis generation, edge computing for real‑time IoT analytics, and privacy‑preserving techniques like federated learning. Companies are investing in low‑latency streaming services and integrating genomic or sensor data into unified discovery platforms, which raises demand for engineers skilled in distributed systems and data governance.

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