Data Scientist, Product Analytics

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8835419

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26/08/2026

Senior Data Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for a Senior Data Product Manager to lead our analytics and insights platform. At the core of the role is owning the story data tells: speaking the language of C-suite and senior executives, and translating complex data into clear insight and business impact, helping health system leaders gain unique insights on their business and their patients. You're a true data enthusiast with strong business sense and an analytical mindset: you proactively identify opportunities, build conviction, and align stakeholders to drive execution. And you care about the customers behind the data. You sit with users, understand how they consume data and where they get stuck, and turn that into product direction.

You'll join our Platform group and lead the strategy, roadmap, and execution of Hyro's analytics and insights platform. This core system turns data into actionable insight for our customers, powering customer-facing reports, our insight engine, and the underlying data infrastructure.

This is a senior IC role with end-to-end ownership over a critical, highly strategic product area. You'll work at the intersection of data, business, and engineering, translating a deep understanding of customer needs, business goals, and the technical aspects of the platform into an analytics strategy that drives growth.

Responsibilities
Define and drive the strategy, roadmap, and prioritization for our analytics product.
Own the end-to-end experience of our analytics product - including customer-facing reports and our insight engine, the primary way customers and internal stakeholders consume data-driven insights.
Partner closely with engineering and data teams to build and evolve the data infrastructure that powers reporting and insight generation.
Translate customer, business, and market insights into clear product direction and high-impact initiatives.
Define success metrics, track performance, and use data to inform decisions and communicate impact.
Partner with and present to senior leadership and C-level stakeholders, translating data into business strategy and growth opportunities.

Requirements:
Requirements
B.A./B.Sc. in Computer Science, Engineering, Business, Statistics/Data Science, or a related field (advanced degree is a plus).
5+ years of product management experience, with a strong background in analytics, reporting, or data products.
Proven ability to lead product initiatives end-to-end with measurable outcomes.
Strong business acumen, with a deep understanding of growth, strategy, and business metrics.
Experience working with SaaS platforms, including configurability and multi-tenant environments.
Strong understanding of data, APIs, and technical systems, with the ability to translate complexity into clear business value.
Excellent communication skills, with proven experience presenting to and influencing C-suite and senior executive stakeholders.
Highly collaborative, with experience working cross-functionally across teams.
Hands-on experience with BI tools, data infrastructure, or insight/analytics engines.

Bonus Points
Familiarity with the U.S. healthcare ecosystem and its unique challenges.
Experience with conversational AI, voice, or chat automation platforms.

This position is open to all candidates.

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8797852

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03/09/2026

Data Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were seeking a self-motivated Data Analyst with a strong sense of ownership and outstanding communication skills. As a key team member, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the companys data-driven culture.

You'll work directly with senior, data-driven stakeholders across the company, including executives outside Israel. Expectations are high, feedback is direct, and the work is visible. In return, you get real ownership, real impact, and the kind of proximity to business decisions that most analyst roles don't offer.

How Youll Spend Your Time
Surface actionable insights by identifying business trends, performance drivers, and anomalies across product, marketing, and financial data
Analyze large, complex datasets to answer strategic business questions and directly support decision-making across the organization
Define, track, and improve the KPIs that measure business and operational performance, ensuring stakeholders trust the numbers
Translate data into compelling visualizations and narratives that communicate key metrics, trends, and recommendations to business stakeholders
Drive product decisions through analytics and experimentation. Design and analyze A/B tests, measure feature adoption and funnel performance, and translate user behavior into insights that shape the roadmap
Build and maintain the data warehouse infrastructure, ETL pipelines, table structures, and schema design that powers reliable, timely analytics
Act as a subject-matter expert in analytics and BI tools, guiding stakeholders and team members toward better data-driven decisions
Own financial and transactional reconciliation. Validate revenue and performance metrics against partner-reported data at cent-level precision
Use AI tools effectively as a core part of the workflow, while maintaining a deep understanding of the data and code underneath

Requirements:
Extensive experience working with analytical SQL
3-6 years of experience in a data analyst or similar role
A healthy mix of curiosity, attention to details and skepticism.
Background in performance-driven, consumer-facing companies (ad tech, gaming, fintech, marketing tech, or similar B2C environments) where data work carried real stakes and complexity
Experience working with BI tools (Looker, Tableau, Metabase, Amplitude, or similar)
Familiarity with data engineering processes, including ELT operations, data warehousing, and data modeling
Data-driven, familiar with A/B testing best practices, and adept at working with large datasets
Strong communication skills and ability to collaborate effectively with diverse teams, including non-Israeli senior stakeholders
Proactive, self-motivated, and accountable with a passion for data-driven decision-making
Active use of AI tools as part of your workflow

This position is open to all candidates.

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8809319

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חברת השמה / כח אדם

08/09/2026

Data Scientist Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a passionate Data Scientist Team Lead to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

What Youll Do

Mentor a team of extremely talented and success-hungry data scientists.
Initiate and 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 communication 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.

Requirements:
Two years of experience in leading a team.
4+ years of practical analytics experience in big data businesses (preferable - B2C company).
A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data, and business.
Excellent analytical skills with experience in querying large, complex data sets.
Strong understanding of statistical significance.
Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc.
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
Self-learner, multi-tasker, able to work independently.
Self-sufficient, proactive problem-solver.
Excellent communication skills, both written and verbal.
Familiarity with the ad-tech industry - a big plus.
Experience in implementing real-time machine learning and data mining algorithms in large-scale environments - a big plus.
Fun to work with and a team player :)

This position is open to all candidates.

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8814897

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5 ימים

Hands-on AI & Data Engineering Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

Requirements:
Requirements

6+ years of software engineering experience building production-level systems.

2+ years of engineering management or technical leadership experience.

Strong experience building large-scale backend systems in Python.

Experience developing modern web applications using frameworks such as React / Next / Angular / Vue.

Experience deploying and operating LLM-based systems in production, including evaluation and iteration.

Strong understanding of data pipelines, experimentation, and product analytics.

Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services.

Passion for clean code, scalable architectures, and data-driven product development.

Experience with prompt engineering, RAG architectures, and vector databases.

Experience building AI agents or autonomous workflows.

Nice to Have

Experience with frameworks such as ADK, A2A, LangChain, LangGraph, or LlamaIndex or equivalent.

Experience with gRPC and protobuf-based architectures.

Experience building MCP servers.

Background in data engineering, experimentation platforms, or ML infrastructure.

This position is open to all candidates.

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8830547

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10/09/2026

Data Science Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.

At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities:

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

Requirements:
Proven experience as a Data Scientist.
Proven experience designing and maintaining large-scale data platforms (hundreds of TBs)
3+ years of proven experience leading and managing a team of data engineers (people management is required)
4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience
Expertise with data orchestration tools (Airflow, Prefect, or Dagster)
Cloud platform experience - GCP preferred (AWS/Azure acceptable)
Familiarity with Docker
Strong communication, mentorship, and collaboration skills
BSc/MSc in Mathematics/ physics/ statistics/ Computer Science.
Fluent English (spoken and written)

This position is open to all candidates.

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8818229

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חברת השמה / כח אדם

15/09/2026

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through Catos SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more.
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.

This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.

Key Responsibilities

Lead the design, development, and deployment of AI/ML models that enhance Catos security and networking products
Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources
Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions
Define and track success metrics to ensure AI solutions meet performance and business goals

Requirements:
Minimum 3 years of professional experience in Data Science roles
Hands-on experience in networking and/or cybersecurity domains
Proven experience building and deploying LLM-based applications and agents (e.g., RAG pipelines, tool-use agents, prompt engineering at scale)
Strong foundation in classical machine learning methods (supervised, unsupervised learning, clustering)
Practical experience with deep learning frameworks such as TensorFlow or PyTorch, including NLP techniques
Proven experience deploying models on cloud platforms like AWS, Azure, or Google Cloud
Excellent analytical, problem-solving, and communication skills
Self-motivated, collaborative, and able to work independently

This position is open to all candidates.

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8822376

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23/08/2026

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Data Scientist, youll be at the heart of the intelligence behind our product. Youll develop predictive models, analyze complex behavioral datasets, and collaborate across engineering and product to turn insights into real-time actions for our clients. This is a hands-on role with plenty of ownership and room to grow.

Responsibilities
Model Development
Design scalable ML models that predict customer churn, ideal purchase timing, product recommendations, and more.
Data Exploration & Feature Engineering
Structure and clean large datasets, develop features, and surface key behavioral patterns.
Collaborate with Engineering
Work closely with developers to implement models and ensure performance at scale.
Business Insight Generation
Turn data into actionable insights that drive product features and client decisions.

Requirements:
3+ years of experience in data science or predictive modeling.
Proficiency in Python, including common libraries like Pandas, NumPy, scikit-learn.
Strong understanding of machine learning techniques: classification, clustering, regression.
Experience working with relational databases (SQL).
Familiarity with cloud platforms or big data frameworks (e.g., Spark, Airflow) is a plus.
Curiosity, ownership mindset, and the drive to make an impact in a fast-moving startup.

This position is open to all candidates.

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8793072

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01/09/2026

Analytics Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work.
This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions.
You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects.
You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement.
evaluation.
Responsibilities:
Design, build, and maintain the data infrastructure supporting Clinical Value analyses, including reusable data models, pipelines, analytical layers, and tools.
Own the technical and analytical implementation of complex Clinical Value applications, adapting established methodologies to different products, customers, and real-world data environments.
Develop complex analytical solutions into reusable and scalable frameworks, enabling broader and more efficient execution across the team.
Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency.
Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices.
Lead selected hands-on data-analysis projects, analyzing complex clinical and operational datasets to generate credible, actionable conclusions.
Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations.

Requirements:
Education & Experience: B.Sc. or higher in a Scientific or Engineering discipline with 3+ years of experience in Analytics Engineering, Data Engineering, or a technical analytics role.
Core Technical Stack: Advanced Python and SQL skills; hands-on experience designing and building production data models, pipelines, and analytical layers.
Tools & Platforms: Experience with orchestration/transformation tools (DBT, Airflow, or similar) and cloud data platforms (Databricks, Snowflake, BigQuery, or AWS).
Engineering Standards: Strong understanding of data modeling, data quality, testing, and maintainability best practices.
AI Tooling & Automation: Hands-on experience integrating AI development tools and agents (e.g., Cursor, Claude agents, GitHub Copilot) into daily workflows to accelerate coding, debugging, and pipeline development.
Data Analysis Capabilities: Strong analytical mindset with the ability to independently explore and analyze complex datasets, summarize findings, and extract meaningful insights as needed.
Problem-Solving & Communication: Demonstrated ability to work independently, manage tight timelines, and translate ambiguous analytical needs into robust technical frameworks. Excellent communication skills for bridging technical and non-technical stakeholders.
Nice to have:
Prior experience or a strong passion for healthcare, AI, or the medical field.
Proven experience in project management or technical team leadership.

This position is open to all candidates.

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8805574

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4 ימים

Senior product manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Product Manager at Balance, you will own and evolve core product experiences that power how businesses manage and optimize their financial workflows. You will lead cross-functional initiatives across engineering, design, sales, and customer teams to deliver scalable, reliable, and intuitive solutions. As part of our evolution, you will help shape AI- and agent-driven workflows that redefine how financial operations are built and experienced. You will drive product initiatives end-to-end, identify new opportunities for growth, and ensure alignment with business goals and regulatory requirements.

Responsibilities
Own a core product domain, driving strategy, execution, and outcomes.
Collaborate with cross-functional teams including engineering, design, sales, and marketing to define requirements and deliver high-impact solutions.
Work closely with internal stakeholders and external partners to understand APIs, integrations, and system constraints.
Engage directly with customers and prospects to understand their workflows, validate solutions, and support enterprise conversations.
Translate complex business processes into simple, scalable, and user-friendly product experiences.
Define and ship AI-powered and agent-based product capabilities, both in customer-facing workflows and internal tooling.
Continuously monitor and improve product performance across both technical reliability and key business metrics.
Stay informed about industry trends, regulatory changes, and emerging technologies to identify new opportunities.

Requirements:
Requirements
4-6 years of product management experience in a product-centric company.
Experience in fintech or complex B2B systems, or strong ability to ramp quickly.
Strong technical fluency, with the ability to work closely with engineers on APIs, data flows, and system design.
Excellent communication and stakeholder management skills, including experience working with or presenting to enterprise customers.
Strong product sense and UX intuition, especially in complex workflows.
Curiosity and adaptability to work with AI-driven product development and agent-based systems.
Analytical mindset with the ability to use data to inform decisions and prioritize effectively.
Self-motivated and results-oriented, with the ability to operate independently and manage multiple initiatives.

This position is open to all candidates.

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8832162

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אירעה שגיאה בשליחת פרטיך למשרה

25/08/2026

Fraud Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

Requirements:
Experience: Minimum of 3+ years of applied Data Science experience with a proven track record across fintech domains, with experience in fraud, risk, or payments preferred.
Production Expertise: Proven, hands-on experience deploying and maintaining machine learning models in high-traffic production environments is required, with real-time experience preferred.
Data Science Tech Stack: Expert-level Python programming (Pandas, NumPy, Scikit-Learn, XGBoost/LightGBM) and exceptional SQL skills for querying massive, complex datasets.
Data Environment: Robust experience working within cloud data environments like Databricks, and querying/manipulating large-scale datasets in data warehouses like BigQuery.
Orchestration & MLOps: Practical experience with machine learning lifecycle and orchestration tools, such as MLflow and Airflow.
Business-Impact Focus: A strong ability to translate raw model results into real-world business outcomes. You know how to balance technical model performance (precision/recall) with financial impact, operational realities, and the user experience.

This position is open to all candidates.

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