לוח משרות דרושים איש ביג דאטה Big Data בתל אביב יפו

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities:

Design and development of high-quality big data processing engineer.

Identify and proactively address potential product risks and challenges and ensuring success.

Work closely with stakeholders to transform requirements into technical specifications.

Ensure that the code is consistent with industry coding standards and best practices.

Take a deep dive into the technical details and provide expert advice and solutions.

We are looking for a passionate Senior Data Scientist to join our all-star team.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.
If you are experienced but still hungry to learn and impact - wed love to have you on our team!
What You'll Do:
Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for a Data Annotation Manager to join our R&D team and manage a team of data taggers responsible for tagging and labeling data for machine learning models.
A day in the life and how you’ll make an impact:
* Managing a team of 8 data taggers in Israel and overseeing a team of data validators in the US.
* Ensure that the data is accurately tagged and labeled.
* Ensure that the team is meeting its goals and deadlines.
* Managing an outsourced team that's performing the scale data tagging and labeling.
* Work with the data science team to ensure that the data is being used effectively.
* Develop and implement processes to improve the efficiency and accuracy of the data tagging process.
* Train new team members on the data tagging process.

In this role, you wont just analyze data, youll lead the data vision for your area, define the right KPIs, guide the PM on what to build (and what not to), and become the data authority behind every feature decision.

Youll collaborate with Product, R&D, and Business stakeholders to deliver meaningful product insights, lead A/B testing, and help prioritize roadmap initiatives based on measurable impact. Youll be the gatekeeper of product data quality, ensuring everything we build is guided by the right tracking, the right questions, and the right results.

What you'll be doing:
Own the data strategy for a product domain, driving KPIs, tracking, and insight delivery.
Partner with Product Managers to prioritize features, set success metrics, and make informed roadmap decisions.

Define BI events and collaborate with developers to ensure accurate and scalable tracking.
Build, maintain, and enhance BigQuery tables using dbt, SQL, and data transformation tools.
Design and evaluate A/B tests and product experiments.
Create clear dashboards and visualizations to support teams and leadership.
Proactively uncover insights to improve feature adoption and product performance.