Senior Data Analyst

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 Analyst 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.

Requirements:
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 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.

What You Bring:

B.Sc. degree in a related field; M.Sc./Ph.D. is an advantage.
Solid background in data analysis skills.
Track record managerial experience, leading a 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.