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.

Customer Support - Staff

Company: Blackbaud

Location: India

Posted Dec 19, 2025

This job posting outlines a Customer Support role at Blackbaud, emphasizing technical support, collaboration with cross-functional teams, and responsibilities like troubleshooting, knowledge base maintenance, and customer communication. Qualifications include technical troubleshooting skills, CRM familiarity, and a customer-first mindset. The company highlights flexibility, inclusivity, and professional development opportunities.

Principal Software Engineer (Storypilot)

Company: Storyteller

Location: Egypt

Posted Dec 19, 2025

Storypeller seeks a technical leader to shape AI-driven workflows for their high-growth SaaS platform, focusing on innovation and team collaboration.

Staff Software Engineer (ClipCrop)

Company: Storyteller

Location: Ukraine

Posted Dec 19, 2025

This job offers a technical lead role in a fast-growing SaaS company focusing on AI and automation, with responsibilities in system design, team leadership, and product development.

Lead Software Engineer (Web SDK)

Company: Storyteller

Location: Romania

Posted Dec 19, 2025

This job posting highlights a remote contractor role with competitive compensation, opportunities to work on high-impact tech projects for global sports brands, and a focus on AI-assisted development. The position emphasizes technical leadership, system design, and collaboration across teams, with clear expectations for problem-solving and innovation.

Principal Software Engineer (Storypilot)

Company: Storyteller

Location: Ukraine

Posted Dec 19, 2025

This job offers a technical leadership role at a fast-growing SaaS company, focusing on AI integration and high-impact product development with global sports brands. The position emphasizes hands-on engineering, system design, and AI-assisted workflows while fostering team growth and innovation.

Lead Software Engineer (Web SDK)

Company: Storyteller

Location: Tunisia

Posted Dec 19, 2025

This job posting highlights a technical leadership role at a fast-growing SaaS company, emphasizing AI integration, high-impact projects with global brands, and opportunities for system design and team growth. The position requires end-to-end ownership, AI-assisted development, and collaboration across platforms.

Staff Software Engineer (ClipCrop)

Company: Storyteller

Location: Egypt

Posted Dec 19, 2025

This job posting highlights a technical leadership role at a fast-growing SaaS company focusing on AI-driven solutions for content creation. It emphasizes problem-solving, team collaboration, and leveraging AI tools to deliver impactful products. The role requires end-to-end ownership, system design, and mentoring engineers while balancing technical and business priorities.

Lead Software Engineer (Web SDK)

Company: Storyteller

Location: Ukraine

Posted Dec 19, 2025

This job posting highlights a high-growth technical role with opportunities to work on innovative products for global sports brands. The position emphasizes AI-assisted development, technical leadership, and collaboration across teams. It requires problem-solving skills, system design, and a willingness to adopt AI tools. The company values capability over checklists and offers a dynamic environment with clear career growth potential.

Staff Software Engineer (ClipCrop)

Company: Storyteller

Location: Serbia

Posted Dec 19, 2025

This job posting highlights a leadership role in a fast-growing SaaS company focusing on AI-driven solutions for sports brands. The position emphasizes technical ownership, AI integration, and team growth with opportunities to shape innovative workflows and deliver measurable impact.

Principal Software Engineer (Storypilot)

Company: Storyteller

Location: Serbia

Posted Dec 19, 2025

This job offers a technical leadership role at a fast-growing SaaS company focusing on AI-driven product development, with opportunities to shape systems and lead teams.

Principal Software Engineer (Storypilot)

Company: Storyteller

Location: Bulgaria

Posted Dec 19, 2025

This job posting highlights a technical leadership role at a high-growth SaaS company, emphasizing AI integration, hands-on development, and impactful projects with global sports brands. The position requires technical ownership, system design, and collaboration with AI tools, with a focus on problem-solving and team growth.

Lead Software Engineer (Web SDK)

Company: Storyteller

Location: Egypt

Posted Dec 19, 2025

This job posting highlights a technical leadership role at a fast-growing SaaS company, emphasizing AI integration, high-impact projects, and opportunities to shape technical direction. The position requires hands-on development, system design, and collaboration across teams, with a focus on innovation and reliable operations.

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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