דרושים » ניהול ביניים » Senior Data Scientist

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our ML Foundations team, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI capabilities. You will work with Data scientists, Software engineers, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in innovative and cross-domains projects using cutting-edge technologies
Research and development of foundation data science capabilities
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own tools and frameworks that will integrate in production models.
Build frameworks to train, evaluate, deploy and monitor machine learning models using reliable and scalable infrastructure.
Create modular, reusable code libraries and tools to streamline model development, evaluation, and testing processes.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.

We are seeking a Senior Data Scientist to lead high-impact initiatives that drive business growth. As part of a highly data-driven organization, this role tackles some of the business's most complex and strategic challenges. You will apply advanced analytics, machine learning, and statistical modeling to uncover insights, optimize decision-making, and enhance strategies across marketing, customer experience, and operations. In this role, you will develop predictive models to forecast key business metrics and improve segmentation strategies. Additionally, you will refine marketing attribution models and collaborate with stakeholders to translate complex data into actionable recommendations that drive measurable outcomes. With direct influence on business strategy, you will have the opportunity to solve critical problems, drive innovation, and make a lasting impact in a fast-paced e-commerce environment.
We are looking for a curious and creative problem solver who thrives on tackling challenges with data. If you think beyond the obvious, leveraging analytics to uncover opportunities and drive innovation, and you are always learning, staying ahead of industry trends, and pushing the boundaries of what is possible in data science, then this is the opportunity for you.
What Youll Be Doing:
Identify and lead data science initiatives to solve business challenges drive strategic growth and implement advanced predictive models to analyze customer behavior, forecast lifetime value, and identify actionable opportunities
Use statistical and machine learning techniques to optimize marketing, personalize customer experiences, and enhance segmentation frameworks for targeted marketing efforts
Develop attribution models to measure the impact of marketing channels on conversions
Conduct time series modeling to forecast revenue and analyze business trends
Collaborate with cross-functional teams to understand business needs and translate data insights into actionable recommendations
Build scalable solutions for large-scale datasets and ensure models are production-ready
Continuously explore and implement emerging data science techniques and best practices to drive innovation.

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices

Required Senior Data Scientist - NLP
As a Senior NLP Research Scientist, you will leverage your expertise in natural language processing to develop and deploy innovative NLP-based products, contributing directly to our product strategy. You will work alongside a team of exceptional NLP researchers, data analysts, and prompt engineers, tackling complex business challenges using real-world data. If you have a passion for NLP, a knack for creative problem-solving, and thrive in a collaborative environment, this role offers the opportunity to make a significant impact.
As a Senior Data Scientist, you will:
Develop and deploy cutting-edge NLP-based products for us, optimizing models for real-world performance and scalability while ensuring they meet production standards and business needs.
Conduct hands-on research to integrate data and product insights, creating robust NLP algorithms with production-grade code that enhance business outcomes and drive strategic value.
Participate in brainstorming sessions for machine learning initiatives, collaborating closely with the Product and Engineering teams to influence and shape our product strategy.
Mentor team members and contribute to their professional growth through joint work, knowledge sharing, and staying up to date with the latest ML developments.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

We are looking for a talented Senior Data Scientist for our Risk Intelligence team. Risk Intelligence is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. You will work on automating claims payouts and enhancing other aspects of rating, claims, and customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, A/B testing, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to improve our underwriting and claims settlement processes
Assess modelling techniques, identify improvements and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Provide technical mentorship to other team members
Exemplify and foster humble, collaborative and impact-obsessed culture

We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.
As a senior DL researcher at our company, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.
Responsibilities
Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.

We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
A business unit focused on developing future cutting-edge products.
We explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for our next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.