לוח משרות דרושים Data Science Team Leader משרה מלאה

Required Data Science Manager
As a Data Science Manager, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining us, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond. About the role: Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and us. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution. Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You wont simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
Data Science Manager Responsibilities
Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Influence product direction through clear and compelling presentations to leadership
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Contribute towards advancing the Data Science discipline, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.

Were seeking a strategic and collaborative data Science Group Leader to lead a combined group of data scientists and developers, which is focused on researching, building, and delivering beta and experimental capabilities that explore whats next in analytics, Machine Learning, and Generative AI. In this role, you will ensure alignment with our organization's vision and product direction. As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products. You will lead two disciplines through team leaders and senior contributors: data Scientists, focused on advanced analytics, ML, and GenAI Full-Stack software engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists. What Youll Do: Team Leadership and Development: Lead and mentor a team of approximately 10 high-performing professionals, including team leaders, data scientists, and software engineers. Coach managers and senior contributors to foster a strong leadership environment, driving continuous development and career advancement within the team. Strategic Planning and Goal Setting: Establish clear operational goals and key performance indicators across teams, promoting alignment and accountability. Design and implement a strategy that aligns with corporate objectives and product direction, ensuring a proactive stance on emerging industry trends. Innovation and Product Development: Identify and evaluate emerging opportunities in predictive analytics, Machine Learning, and Generative AI, ensuring a balance between rapid experimentation and adding substantial customer value. Collaborate closely with product managers and core engineering teams to successfully transition high-potential lab initiatives into production when appropriate. Technical Oversight and Quality Assurance Provide decisive hands-on technical leadership, shaping strategies for solution development, guiding modeling decisions, and overseeing the design of system -level architectures. Establish industry best practices for AI/ML development, focusing on model evaluation, safety, and performance. Interdepartmental Collaboration: Work closely with Product Management, Engineering, Professional Services, and Customer Success to ensure alignment and integration of lab initiatives with business objectives. Maintain an active dialogue with customers and industry trends to translate insights into actionable lab projects. Contribute to demos, talks, blogs, or conference presentations
Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.