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Senior Data Scientist

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Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
M.Sc. or Ph.D. in an exact science field, with a thesis focused on NLP.
3+ years of industry experience in NLP research, including deep learning and large language models (LLMs).
Strong knowledge of various ML disciplines and algorithms, with proven experience in delivering end-to-end algorithm solutions from experimentation to production.
Proficiency in Python programming and a solid understanding of experiment design, data analysis, and results reporting.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Published papers in peer-reviewed journals or conferences related to statistics, machine learning, or neural networks (an advantage).
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Education & Experience:
Bachelor's degree in Computer Science, Engineering, or a related STEM field; Masters in a data science-related field is a plus.
6+ years in a data science role, ideally within a SaaS or tech-driven company.
Proven experience leading and delivering AI-based solutions to key business problems.
Technical Skills:
Strong skills in data manipulation, visualization, and statistical analysis.
Proficiency with Python and the Python data stack.
Experience with ML frameworks: scikit-learn, XGBoost, PyTorch, TensorFlow.
Advanced SQL and experience working with large datasets.
Experience with LLMs and tools like LangChain, LlamaIndex.
Understanding of backend development architecture patterns an advantage.
Experience working with big data a plus.
Soft Skills:
Strong analytical thinking and independent problem-solving skills.
Excellent communication and collaboration abilities (Hebrew & English).
Self-driven with a high sense of ownership and motivation to deliver impactful solutions.
Creative, critical thinker and continuous learner.
Strong interpersonal skills with a proven ability to mentor and technically lead others.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are responsible for the research and development of advanced experimentation and Causal Analysis infrastructures to measure, understand and attribute features impact. We also own a comprehensive Data Warehouse, providing essential dashboards and analytics tools, including Gen-AI agents, to empower both Data Scientists and stakeholders throughout the organization.

Responsibilities
Develop and implement Measurement Methodologies and Evaluation Frameworks. Assess the performance, accuracy and groundedness of AI Agents, including the automated generation of synthetic training and evaluation data.
Work with various teams including software developers, data engineers and product managers, to define the requirements and implement Gen-AI models and solutions to drive innovation.
Translate complex technical concepts and investigative findings into clear, actionable insights for both technical and non-technical stakeholders.
Lead the design, development and deployment of Generative AI Agents for conversational driving-related experiences and scaling the ingestion, annotation and utilization of user generated contect and geospatial data feeds.
Requirements:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:
Master's degree or PhD in Data Science, Computer Science or a related quantitative field.
7 years of experience as a data scientist applying advanced statistical and machine learning methods on real-world problems.
Experience in Generative AI, defining, building and evaluating AI-agents and leveraging foundational language models for introducing advanced new capabilities within existing products and systems.
Experience with relevant libraries and frameworks (e.g., TensorFlow, LangChain, PyTorch, etc.).
Experienced in building and managing large-scale data processing pipelines (e.g., BigQuery).
Experience in Cloud Computing, Machine Learning Operations and in Google Cloud Platform (GCP)/Vertex-AI.
This position is open to all candidates.
 
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13/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Data Scientist to lead the development of personalization models that power our AI agents. In this role, youll design and deploy intelligent systems that understand each travelers preferences, intent, and behaviortransforming complex user journeys into effortless, hyper-personalized experiences.This is a high-impact, cross-functional role working closely with product managers, engineers, designers, and the AI/LLM platform team to create deeply personalized, autonomous travel assistance that feels like magic (but is all math and modeling underneath).
What Youll Do:
Design and build machine learning models that power personalization across our agentic platform, including traveler profiles, flights & hotels recommendation engines, and behavioral prediction systems.
Develop algorithms that adapt and learn from user behavior over time, channels, and modalities (text, voice, action).
Collaborate with PMs, engineers, and conversational designers to integrate ML into real-time decision loops, conversational agents, and proactive UX flows.
Own experimentation pipelines and performance evaluation, AB tests, offline metrics, and production agent behavior.
Work hands-on with structured and unstructured data (e.g., travel history, chat logs, user feedback, booking behavior) to extract insights and drive model improvement.
Define and maintain robust MLops practices: monitoring, retraining, feature pipelines, and real-time inference.
Stay current with the latest in recommender systems, LLM integration, embeddings, retrieval augmentation, and agentic reasoning to continuously evolve our approach.
Requirements:
5+ years of experience in applied data science or machine learning roles, with a strong focus on personalization, recommender systems, or predictive modeling.
Advanced degree (MS/PhD) in Computer Science, Machine Learning, Statistics, or a related field, or equivalent hands-on experience.
Proficiency in Python and ML frameworks
Strong grounding in data pipelines and working knowledge of tools such as SQL, Spark, Airflow, and modern MLOps stacks.
Experience building real-time or near-real-time recommendation systems at scale.
Bonus points for working with conversational agents, LLM-based systems (e.g. RAG, prompt engineering), or user embeddings.
Passion for crafting user-centric AI, and curiosity about human behavior in the context of travel
Ability to communicate technical concepts clearly and collaborate cross-functionally with product, design, and engineering teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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13/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
5+ years in data science, with a proven track record of delivering impactful projects
Masters or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics)
Experience in e-commerce or digital marketing is an advantage
Expertise in Python, R, SQL, and experience with cloud platforms (AWS, GCP, or Azure)
Proficiency in machine learning libraries (TensorFlow, PyTorch, Scikit-learn) and wor
Experience with BI platforms such as Looker, Tableau, or similar tools
Strong analytical mindset and ability to translate complex data into actionable insights
Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences
Experience working with cross-functional teams, including Data, Product, Marketing, and Engineering
Creative mindset with a passion for continuous learning and staying up-to-date with industry trends.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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13/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Senior Data Scientist with deep expertise in Large Language Models (LLMs), Deep Learning, and Neural Networks to join our Threat Research group, located in our Tel Aviv Office. Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities :
Serve as the technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications.
Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
Drive hands-on research from ideation through prototyping to scalable production systems.
Collaborate with product and engineering teams to integrate advanced AI models into security solutions.
Analyze complex, high-dimensional security data (including text, logs, network traffic, and more) to identify emerging threats and attack patterns.
Mentor and guide other data scientists and contribute to the teams technical growth.
Represent in the AI and security communities through thought leadership, publications, presentations, and patents.
Requirements:
7+ years of hands-on experience in machine learning and deep learning, with a strong focus on neural networks and NLP, including proven work on high-scale, production-level projects.
At least 3 years of proven experience in training, fine-tuning, and delivering LLMs and deep learning models at scale.
Advanced proficiency with Python and leading ML/DL frameworks: PyTorch, TensorFlow, Keras, etc.
Experience with MLOps, scalable model deployment, and optimizing inference for production environmnts.
Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools.
Track record of delivering impactful AI solutions in real-world settings.
Experience in application/data security is a strong advantage.
Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Experience with Kubernetes (K8s) and microservices infrastructure is a plus.
Experience with CI/CD practices and the full lifecycle of ML model development, from data preparation to deployment and monitoring, is a strong advantage.
Ph.D. or M.Sc. in Computer Science, Engineering, Math, or another quantitative/technical field is valued, but not required if you have strong relevant professional experience.
Excellent communication, mentoring, and collaboration skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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13/07/2025
Location: Tel Aviv-Yafo
We are looking for a highly technical and innovative, hands-on Experienced Data Scientist to join our Threat Research group, located in our Tel Aviv office.
Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities:
Lead and execute data-driven research projects in application and data security, using advanced machine learning and deep learning techniques.
Own the end-to-end research process: from ideation and prototyping to delivering models to production environments.
Develop, implement, and optimize innovative security solutions to be integrated into products.
Analyze large-scale security data (network traffic, application requests, database transactions) to uncover hidden patterns, threats, and attack vectors.
Contribute to team knowledge sharing and thought leadership (e.g., technical blogs, patents, conference presentations, workshops).
Requirements:
4+ years of hands-on experience researching, developing, and delivering machine learning models in high-scale, production environments (Python preferred).
Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools.
Deep experience with analytics, machine learning, and deep learning frameworks: Scikit-learn, SciPy, TensorFlow, Pandas, NumPy, PyTorch, Keras.
Demonstrated ability to solve multidisciplinary, data-driven problems.
Excellent teamwork and communication skills.
Experience in application or data security (strong advantage).
Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Experience with Kubernetes (K8s) and microservices infrastructure is a plus.
Experience with CI/CD practices and the full lifecycle of ML model development, from data preparation to deployment and monitoring, is a strong advantage.
Ph.D. or M.Sc. in Computer Science, Engineering, Math, or another quantitative/technical field is valued, but not required if you have strong relevant professional experience.
Strong English and presentation skills are an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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10/07/2025
Job Type: Full Time
Who We're Looking For - The Dream Maker We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation , leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring
* Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
* Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
* Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
* Own projects end-to-end - balancing short-term wins with long-term strategy.
Requirements:
What It Takes 4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must Proven experience in the Fintech/Fraud Prevention Domain - Must
* Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must
* Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must
* Strong background in e-commerce or payments - Advantage
* A self-starter mentality someone who identifies opportunities, takes initiative, and drives improvements with minimal direction. Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.
This position is open to all candidates.
 
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08/07/2025
מיקום המשרה: רחובות ותל אביב יפו
Required Senior data Scientist
יש לנו משרדים מהממים בתל אביב וברחובות + עבודה היברידית!
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דרישות:
המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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01/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are making the future of Mobility come to life starting today.
At our company we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
Data is at the heart of how our company makes business and product decisions, and we are looking for a talented Data Scientist to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.
Requirements:
Masters/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems.
Specialized expertise in Natural Language Processing (Transformers, LLMs).
Experience with Generative AI, for example: Prompt Engineering, Automatic Evaluation, Retrieval-Augmented Generation (RAG) and open-source LLMs Fine-Tuning a strong advantage.
Experience in data analysis and visualization and strong knowledge in SQL.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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30/06/2025
Location: Petah Tikva
Job Type: Full Time
We are looking for a Senior Data Scientist to join our classification team.
A critical component to enabling cross-border is delivering seamless clearance through customs. This is also an incredibly challenging problem where we have radically changed the industry by delivering the worlds first machine learning-based, highly accurate classification system that replaces the need for people to inspect and classify individual products. This capability enables our clients to ship goods from anywhere in the world to anywhere in the world directly from their stores and fulfillment centers, keeping customers happy with fast and seamless delivery.
Main Responsibilities:
Be a subject matter expert in a ML domain.
Research, design, maintain, and evolve the companys machine learning models to support the worlds fastest and most accurate classification system for cross-border trade.
Develop, fine-tune, and deploy Large Language Models (LLMs) to enhance classification accuracy and automation capabilities.
Train and optimize deep learning models for NLP applications, ensuring efficient processing of complex textual data.
Collaborate with a wide range of stakeholders and across multi-functional teams to ensure we continue to build great products and deliver significant value to its clients.
Requirements:
At least 5 years of experience in data science, solving real-world problems, and using modern technologies to develop ML models.
At least 5 years of experience with the Python data science toolbox (Pandas, NumPy, SKLearn, etc.).
Experience with the full lifecycle of a data product ideation to productionizing and iterating.
Experience with training, fine-tuning, and deploying LLMs, as well as applying state-of-the-art architectures to domain-specific challenges.
Experience with NLP algorithms and approaches and their applications to taxonomies, recommendations, and search domains.
Solid programming skills to code, build, and test models.
Knowledge of and appetite for mathematical principles that are the foundation of ML methods.
Familiarity with transformer-based architectures (e.g., BERT, GPT) and their application to classification and predictive modeling.
Experience in optimizing and scaling deep learning models for real-world deployment in production environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8237691
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/06/2025
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Required Senior Data Scientist
Description
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
Requirements:
Masters degree in Statistics, Mathematics or Computer Science.
Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact.
Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
Strong communication and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders.
Ability to read AI research publications and implement the algorithms & architectures from scratch.
Advantages
Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
Worked on deep learning graph model solutions with 10s of TB of data.
Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8236952
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29/06/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.
Requirements:
10+ years of experience in data-related roles, with at least 5 years in a leadership position (ideally within a tech or AI-driven startup environment).
M.Sc. or PhD in Data Science/Computer Science/Engineering/Statistics, or a related field.
Extensive experience with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, BigQuery, or Redshift).
Proficiency in data technologies, such as SQL, Python, R, Looker and big data tools (e.g., Hadoop, Spark).
Proven experience in leveraging data for product development, business intelligence, and operational optimization.
Strong track record of building and managing cross-functional data teams and influencing across all levels of an organization.
Excellent communication skills, with the ability to convey complex data insights in an accessible manner to non-technical stakeholders.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8234801
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate Senior Data Scientist 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.
If you are experienced but still hungry to learn and impact - wed love to have you on our team!
What You'll Do:
Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.
Requirements:
4+ years in C++ and Python - Must.
Experience with low-level research and development: operating systems, embedded systems or equivalent experience - Must
Experience working with large open source projects is a plus
Experience with native mobile development is a plus
Team player as well as the ability to be independent and proactive.
BSc Degree or equivalent military experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8234396
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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סגור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
מיקום המשרה: פתח תקווה
סוג משרה: משרה מלאה
data Scientist לתפקיד משמעותי עם השפעה רחבה- משרה היברידית תאר.י לך מצב שבו אלגוריתם חכם שפיתחת מצליח לזהות תבנית נסתרת בדאטה תבנית שמובילה לאבחון מוקדם יותר, טיפול מדויק יותר, אולי אפילו להצלת חיים. המשרה הזו היא לא משרת data Scientist רגילה, זו הזדמנות לקחת חלק במהפכה רפואית שמובלת בידי דאטה, קוד, ותובנות אנליטיות. בוא.י לפתח פתרונות חכמים שמשלבים בין מודלים קלאסיים לטכנולוגיות Generative AI, לעבד טקסטים רפואיים ולהפוך מידע גולמי לתובנות שמשנות את המציאות.
איך יראה היום שלך: הובלה של פרויקטים מקצה לקצה: הגדרת בעיות עסקיות, חקר נתונים, פיתוח מודלים ופריסה בסביבת ייצור ניתוחים אנליטיים מתקדמים, כולל הגדרת מדדים (KPIs) וחילוץ תובנות עסקיות פיתוח והטמעה של מודלי Machine Learning ו NLP, כולל פרויקטים של Generative AI עיבוד טקסטים ממקורות רפואיים מגוונים עבודה מול תשתיות Big Data כולל Elastic, Kafka, Spark שיתוף פעולה הדוק עם data Engineers, אנליסטים ומומחי דומיין רפואיים
דרישות:
לפחות 3 שנות ניסיון בפיתוח מודלים בעולם הDS/ML עם דאטה טאבולרי חובה לפחות 3 שנות ניסיון בפיתוח בסביבותPython וSQL חובה לפחות שנה ניסיון בעבודה מעשית עם Generative AI חובה ניסיון משמעותי עם טקסטים וNLP חובה ניסיון בהעלאת קוד לproduction והבנה מעשית של סביבות פיתוח/ QA /ייצור חובה ניסיון עם Spark יתרון ניסיון עם Elastic / Kafka יתרון תואר שנירלוונטייתרון המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8173832
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