Data Science Team Leader (Product)

Description

Prisma Photonics, a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors.

Our Hyper-Scan Fiber-Sensing™ technology, combined with advanced machine learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions.

Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), Prisma Photonics is led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors.

We are seeking a Senior Data Scientist to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, you’ll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

What You’ll Do

• Be a Prisma Photonics technology expert – understand the ins and outs of how our products work.
• Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
• Create our Data Product offering – build a set of reports and recommendations to customers, exposing the value of the underlying technology.
• Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge
• the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
• Implement machine learning or algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
• Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

Requirements

What You Bring

• B.Sc. degree in a related field; M.Sc./Ph.D. is an advantage
• Solid background in AI coding and data analysis skills
• Track record managerial experience, leading a data science or data analytics team
• Self-motivated with analytical skills and problem-solving orientation
• Experience in multidisciplinary systems engineering, laser technology,
• optical fibers, seismic signals, signal processing,
• Strong collaborator with peers; excellent communication and teamwork skills