ApplyField Engineer, ML & Data Science (Life Sciences)
Posted about 1 month agoViewed
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Requirements:
- 3-5 years of experience in a customer-facing technical role. Preference for candidates who have worked in/sold to the Life Sciences industry.
- Background in Data Science, with a strong understanding of Life Science industry trends and use cases
- Experience selling enterprise IT software, with a track record of technical pre-sales success
- Exceptional verbal and written communication skills, with the ability to engage both technical and business audiences.
- Strong discovery and pain point identification skills, adept at uncovering customer needs
- Proficiency in coding, preferably with Python
- Experience with common data science libraries, such as PyTorch, TensorFlow, and scikit-learn
- Familiarity with distributed computing frameworks, including Spark, Ray, and Dask.
- Comfortable working in Linux environments, with hands-on experience in system navigation and troubleshooting
- Understanding of Kubernetes, Docker, and containerization, with the ability to articulate their value in enterprise environments
Responsibilities:
- Take technical ownership of opportunities, driving revenue and guiding Enterprise Life Science prospects through the buyer’s journey
- Deliver compelling demos and hands-on technical workshops to showcase the power of our platform
- Define, execute, and manage proof-of-concepts that highlight our value and address customer needs
- Act as a AIML Subject Matter Expert, providing technical guidance and addressing customer challenges with confidence
- Demonstrate strong objection handling skills and answer common customer questions to build trust and credibility
- Contribute to the Sales Engineering team by creating documentation, refining demo assets, and sharing best practices
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