לוח משרות דרושים Data Science Team Leader משרה מלאה

We are looking for a talented Data Science Team Lead who will help design and manage data-driven strategies and algorithms within the companys core acquisition engine and deploy them end-to-end.
We hypothesize theories and prove them in production within hours (instant data gratification!).
You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.
If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!
What you will do:
Lead and mentor a team of extremely talented and success-hungry Data Scientists.
Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.

Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:

Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are seeking an experienced Data Science Lead to join us and play a key role in shaping the future of data security.
As a Data Science Lead, you will be part of our Classification team, which lies at the core of our missionidentifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists, analysts, and engineers collaborates to build the worlds most effective sensitive data detection system.
Responsibilities
Lead the design, development, and deployment of machine learning models, including NER and LLMs, to enhance our data classification and entity recognition capabilities.
Collaborate closely with Product and Engineering to align cutting-edge AI technologies with real-world customer needs and our roadmap.
Build and maintain a robust experimentation framework to accelerate model iteration, evaluation, and deployment.
Leverage our extensive datasets to define key quality metrics and drive continuous improvements in classification accuracy.
Adapt quickly to evolving customer needs while maintaining high standards of model performance and reliability.
Innovate by identifying new opportunities to improve accuracy, automate workflows, and introduce AI-driven features that provide value to our customers.

As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.