לוח משרות דרושים Data Scientist בפתח תקווה, לחיפוש זה נמצאו 3 משרות

Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.

we are looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models - someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact.
You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data - even when nobody has asked them yet.
Responsibilities:
Own Data Science problems end-to-end - from business question and hypothesis to modeling, evaluation, and production.
Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions.
Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance.
Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases.
Select the right statistical or ML approach based on the problem and the data - including recognizing when a simple analytical solution is better than a complex model.
Define meaningful evaluation methodologies and connect model performance to real business impact.
Communicate complex statistical findings clearly to both technical and non-technical stakeholders.