Senior Manager Data Science

Solera Holdings, LLC.; España; Hybrid; PHP 5,434,782 - 7,246,376; Full time

Job summary

Solera Holdings, LLC. in Romblon, España is seeking a Data Science & ML Tech Lead to oversee a talented team in developing AI-powered solutions. You will leverage your expertise in Deep Learning and Computer Vision to lead initiatives that optimize team productivity and value creation.

The ideal candidate will demonstrate strong leadership abilities, software engineering skills, and a commitment to fostering a inclusive culture. Proficiency in tools like TensorFlow, PyTorch, and cloud platforms is essential. Join us to drive the future of vehicle lifecycle technology.

Qualifications

• Expert understanding of Deep Learning and Computer Vision concepts.
• Proven ability to lead continuous value creation through DL/CV solutions.
• Experience with large-scale datasets in the cloud.

Responsibilities

• Report to the Data Science and Machine Learning Manager.
• Drive delivery of value through team initiatives.
• Architect scalable data/ML systems.

Skills

Deep Learning

Computer Vision

Python

TensorFlow

PyTorch

Cloud Processing

CI/CD

Docker

Kubernetes

FastAPI

Tools

GCP

BigQuery

Dataflow

Vertex AI

Cloud Run

GitHub Actions

Job description

Data Science & ML Tech Lead

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. We process over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an innovative culture dedicated to bringing the future to bear today through cognitive answers, insights, algorithms, and automation.

We’re looking for a Data Science & ML Engineering Tech Lead for our cross‑functional team of Data Scientists, Machine Learning Engineers, and Software Engineers behind Solera’s Visual Intelligence (VI) technology, a computer‑vision based damage‑detection solution for vehicles. This role will report to the Data Science and Machine Learning Manager.

What You’ll Do

• Report to the Data Science and Machine Learning Manager.
• Play a crucial role in the success of VI and the products built on top of it.
• Provide technical leadership to the team and drive the delivery of value together with the team through the team’s initiatives.
• Align the team’s efforts with business goals by turning market opportunities into potent roadmaps, measurable milestones and efficient delivery plans for the team.
• Take full ownership of the team’s success by optimizing the team’s productivity, quality of output, and value creation through continuous improvements of practices, processes, structures, and tools.
• Architect scalable data/ML systems to train and serve models across hundreds of millions of images and records.
• Help shape our tech stack:
• Python; PyTorch, TensorFlow
• GCP: BigQuery, Dataflow, Vertex AI, GKE, Cloud Run, Cloud Deploy
• Docker, Kubernetes
• FastAPI, Streamlit, Grafana
• GitHub Actions

How We Work

• Monorepo with a strong build system, CI/CD, and code quality practices.
• GCP as the main data storage and computing platform.
• High autonomy and ownership; freedom to choose the best tool for the job.
• We are an international team, distributed across time zones.

What We’re Looking For

• Expert understanding of state‑of‑the‑art Deep Learning and Computer Vision concepts and techniques.
• Proven ability to lead the efficient, continuous creation and delivery of value through DL/CV‑based solutions.
• Solid understanding and experience in other areas of Machine Learning, including tree‑based models and LLMs.
• Expertise with large‑scale datasets and distributed processing in the cloud.
• Strong software engineering fundamentals with a proven ability to promote through mentorship and coaching.
• Proven ability to balance short‑term value delivery with growth and future/continued success.
• Strong ability and desire to foster a culture of transparency, fairness, inclusion, and growth.
• Structured problem solving, critical thinking, and scientific rigor‑oriented mindset.
• Ability to lead by example, especially with regards to communication, structured problem solving, critical/systems thinking, as well as ownership and growth mindset.
• Proficiency in the English language with the capacity to efficiently and effectively communicate about complex concepts and problems both via sync (e.g. video calls) and async (e.g. writing) channels.