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מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

דרושים Data Specialist

תפקיד מתכנת Data Specialist הוא כוכב עולה בשמיי ההייטק, כשמפתחים יכולים לבחור בין מגוון של פרויקטים מעניינים תוך כדי עבודה דינאמית ומאתגרת. בואו למצוא את המשרה הבאה שלכם כמפתחי Data Specialist כאן באקספוינט!
חברה
אופי המשרה
קטגוריות תפקיד
שם תפקיד (1)
Israel
עיר
נמצאו 415 משרות
Yesterday
L

Leumi Data Scientist Israel

Limitless High-tech career opportunities - Expoint
תיאור:
תיאור משרה:

דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.

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10.12.2025
G

Gett B2B Retention Specialist- Maternity Leave Replacement Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Proactively contact customers who have stopped using our business services and rebuild relationships to encourage renewed activity. Provide clear, effective support to customers using our business portal and mobile application....
תיאור:
Job Description

In this role, you will play a key part in strengthening relationships with our business clients, supporting their needs, and driving long-term engagement.

Key Responsibilities:

  • Proactively contact customers who have stopped using our business services and rebuild relationships to encourage renewed activity.
  • Provide clear, effective support to customers using our business portal and mobile application.
  • Troubleshoot and resolve online or technical issues to ensure a seamless user experience.
  • Increase the number of active business clients by promoting product adoption and consistent usage.
  • Reduce client churn through strategic outreach and excellent customer care.
  • Achieve monthly performance goals, including daily call quotas and overall retention KPIs.
  • Deliver accurate daily statistics and performance insights to your manager
Requirements

You will excel in this role if you possess:

  • 1+ years of experience in B2B customer service or related roles.
  • A strong execution mindset and the ability to deliver results consistently.
  • The ability to work independently, manage time effectively, and meet targets.
  • A positive attitude, high energy, empathy, and genuine customer-centricity.
  • Excellent communication and customer-facing skills.
  • The ability to quickly build trust and establish strong relationships with diverse customers.
  • Fluent English, both written and verbal.
  • A bachelor's degree.
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משרות נוספות שיכולות לעניין אותך

10.12.2025
ORC

ORCA Security Data/Product Analyst Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
תיאור:
Highlights
  • High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
  • Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
  • Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
  • Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

About you
  • 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
  • Proven experience in SQL writing, specifically in querying large and complex data sets
  • Experience in BI tools and in DBT/Python
  • Looker proficiency – an advantage
  • Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
  • B.Sc./BA in industrial/information systems engineering, statistics or equivalent
  • Experience in operational or cross-department roles – an advantage
  • Great communication skills
  • Business orientation and a passion for data analytics
  • High level of spoken and written English
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משרות נוספות שיכולות לעניין אותך

08.12.2025
PA

Palo Alto Senior Manager Software Engineering - Data Security Cortex C... Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain. Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and...
תיאור:

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

  • Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain.
  • Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and on-time delivery.
  • Engage directly with strategic customers to lead technical deep-dives, architecture reviews, and roadmap discussions.
  • Set high engineering standards for quality and security while building a culture of accountability and continuous improvement.
  • Build a culture of accountability, ownership, and continuous improvement.
  • Oversee the architecture of scalable, distributed systems (primarily Python & Go) capable of processing data at petabyte scale.
  • Guide teams on building high-throughput pipelines and cloud-native microservices.
  • Ensure efficient deployment, observability, and runtime stability in production environments.
  • Partner closely with Product Managers and cross-functional groups (Infra, Research, UX) to define priorities and build multi-quarter roadmaps.
  • Align stakeholders across business units and communicate tradeoffs, risks, and execution plans with clarity.

Your Experience

  • 3+ years managing software engineering teams, including managing managers.
  • 5+ years of experience as a hands-on software engineer.
  • Proven track record of delivering complex, distributed cloud products end-to-end.
  • Strong systems-level background in one or more languages: Go, Python.
  • Experience with large-scale cloud architectures (GCP, AWS, or Azure).
  • Demonstrated ability to plan, execute, and deliver roadmaps with high predictability.
  • Strong collaboration skills; able to align cross-disciplinary teams around a shared goal.

Advantages

  • Experience with orchestration frameworks (Temporal, Argo Workflows, etc.).
  • Familiarity with BigQuery, MongoDB, PostgreSQL, or similar.
  • Background in cybersecurity, data security, or threat intelligence.
  • Experience running services at massive scale across distributed environments.

All your information will be kept confidential according to EEO guidelines.

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משרות נוספות שיכולות לעניין אותך

23.11.2025
U

Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams. DataOps Excellence: Create seamless...
תיאור:
The opportunity
  • Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
  • DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
  • Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
  • Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
  • Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
  • Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
  • Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
  • Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
  • Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
  • Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
What we're looking for
  • 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
  • Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
  • Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
  • Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
  • Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
  • GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
  • Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.
You might also have
  • Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
  • Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
  • Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems
Additional information
  • Relocation support is not available for this position.
  • Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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משרות נוספות שיכולות לעניין אותך

23.11.2025
F

Forter Data ResearcherNew Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment. Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats....
תיאור:

What you'll be doing:

  • Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment.
  • Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
  • Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
  • Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
  • Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of Forter’s AI technology.

What you'll need:

  • Relevant experience (one of the below)
    • At least 2 years of hands-on experience in quantitative research/data science, or a related role involving production-oriented data analytics and hypothesis-led research.
    • MSc or PhD in a quantitative field (e.g., Physics, Economics, Neuroscience, Biotechnology, Computer Science, etc.).
  • Strong analytical and logical reasoning skills with a proven ability to dissect and solve highly complex problems.
  • Extensive experience working with large datasets using scripting languages (e.g., Python, R, or Matlab).
  • Excellent communication skills – ability to articulate complex technical concepts and research findings to diverse audiences.
Bonus points for:
  • Experience with SQL and big data technologies (e.g., Spark).
  • Deep familiarity with machine learning concepts and practice
  • Risk / Intelligence experience

Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:

  • Great Place to Work Certification (2021, 2022, 2023, )
  • Fortune’s Best Workplaces in NYC (2022, 2023 and )
  • Forbes Cloud 100 (2021, 2022, 2023 and )
  • #3 on Fast Company’s list of “Most Innovative Finance Companies” ( )
  • Anti-Fraud Solution of the Year at the Payments Awards ( )
  • SAP Pinnacle Awards “New Partner Application Award” (2023)
  • Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)
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משרות נוספות שיכולות לעניין אותך

Limitless High-tech career opportunities - Expoint
תיאור:
תיאור משרה:

דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.

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מגוון רחב של משרות כמו Data Specialist. למצוא עבודה בחברות נבחרות כבר לא יהיה חלום. Expoint מסייעת לכם למצוא את המשרות הנחשקות במגוון רחב של מדינות המובילות בעולם בהן תוכלו למצוא תפקיד מאתגר במדינה שיהיה לכם כיף לעבוד בה.