דרושים » תוכנה » Senior data Scientist בחברת סטארט-אפ בתחום ה-AI

Our Algorithms team tackles the companys most pressing ML challenges, addressing real-world problems that have a direct impact on success. As part of this group of experienced, you will help establish a new research area within the company, uncovering insights and detecting anomalies that enhance the products overall performance.



What You'll Do:

End-to-end ownership: Identify and frame ambiguous business problems, set measurable success criteria, prototype solutions, and deliver production-ready algorithms.
Algorithm design: Develop and refine methods across clustering, graph learning, causal inference, time-series modeling, and optimization to enable new product capabilities.
Workflow deep dive: Work closely with Product teams to analyze current pipelines, map data and decision flows, and identify inefficiencies and opportunities for improvement.
Real-world data modeling: Explore, structure, and model construction-related data, including progress histories and schedules. Build robust datasets and meaningful features.
Collaborate with a dynamic team of talented researchers driving digital transformation in the construction industry.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within .
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.

As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support our business. Together with other Data Engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

Responsibilities:
Analyzing data from various sources and transforming it into actionable insights that directly drive business growth.
Building machine learning algorithms for bidding - using classification and clustering to optimize campaign performance.
Leveraging artificial intelligence (GenAI) techniques to query data for intelligent insights and automated decision-making processes, unlocking hidden value from data.
Leading tasks from exploration to proof of concept (POC) and ensuring smooth transitions to scalable production environments.
Collaborating with data engineers and product managers to ensure the delivery of high-quality production results.
Creating and owning key metrics while developing new models and capabilities for innovative product solutions.
Optimizing scalability and ensuring the performance of data pipelines and ML models, handling large-scale, dynamic datasets.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.