לוח משרות דרושים Data Scientist

we are looking for a Data Scientist Team Lead
Responsibilities
As an AI/ML Team Lead, your responsibilities include:

Leading and mentoring a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.

Working with product managers, software engineers, and designers to identify and prioritize AI-driven features and enhancements.

Developing the next generation of DPI and QoE AI/ML engines and integrating them into the product.

Maintaining existing AI/ML engines.

Promoting best practices in AI development, including model evaluation, testing, and monitoring.

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.

We are looking for an ML Engineer to join our Data department. In this role, you will be responsible for the infrastructures needed to train models, serve them and do other ML magic.
What Youll Do:
Develop, integrate and optimize end-to-end ML solutions (data pipelines, training workflows, and serving infrastructure)
Plunge into a world of data, analytics, ML, high-paced and high-scale user and market movements
Work closely with Data Scientists to understand the business from top-to-bottom and turn their dreams into reality.

As an NLP Data Scientist, a leader in AI-driven healthcare technology, you will play a critical role in developing intelligent language-based systems that directly support our core mission. Youll lead efforts in designing, evaluating, and deploying state-of-the-art Natural Language Processing (NLP) and Large Language Model (LLM) capabilities in production. From prompt engineering and NLU model development to model optimization and monitoring, your work will impact real-world outcomes and shape the future of digital health solutions. This role bridges applied machine learning, linguistics, and GenAI innovationideal for those who want to build solutions that matter.

What Youll Do:

Develop and maintain Natural Language Understanding (NLU) models integrated into key company products.

Design and iterate on prompt templates and strategies using techniques such as few-shot, zero-shot, and chain-of-thought prompting.

Apply best practices from prompt engineering, including answer engineering (e.g., extractors, verbalizers, formatting).

Evaluate model outputs using modern benchmarking techniques (e.g., self-consistency, prompt ensembles).

Collaborate with cross-functional teams (engineering, product, clinical) to tailor LLM-based systems to practical use cases.

Monitor and improve model performance post-deployment with a focus on stability, safety, and domain alignment.

Contribute to the internal prompt engineering knowledge base and stay up to date with the latest research and community best practices.

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 Bigabid, 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'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.

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models.

Build & Optimize: Design solutions that align with the companys core mission by fine-tuning machine learning and GenAI models.

Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend architectures.

Collaborate & Create: Work hand-in-hand with customers and product teams to deliver excellent solutions that drive business value. Generate and test working hypotheses in unexplored territories.

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers.
Manage and conduct advanced hands-on research projects that will impact 250M+ users .
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI.
Build horizontal AI capabilities to be used.
Work on strategic projects for the company.
Collaborate with other internal departments to drive impactful data-driven projects.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across Fiverr. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?:

* Take leading roles in foundational AI projects across Fiverr: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
* Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
* Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
* Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
* Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
* Continuously identify new opportunities to evolve the platform’s capabilities and streamline how AI is built and adopted across Fiverr.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

Were looking for a Senior Data Scientist whos excited about building robust, high-impact ML systems with a strong focus on textual data, NLP, and modern LLM-based architectures. This role is perfect for someone who thrives in startup environments, loves shipping hands-on solutions, and brings sharp product thinking to every line of code or experiment they run. Youll work closely with product, engineering, and data teams to build and scale ML-powered systems that drive meaningful outcomes for users and the business.

‍

Responsibilities
Work closely with product managers to understand customer needs, prioritize effectively, and identify the minimum valuable ML that creates the most impact
Operate with a product mindset: make smart tradeoffs between speed and quality, scope and value and know when to ship fast and when to go deep
Drive high standards and share knowledge across the team and company through thoughtful collaboration, peer reviews, and mentorship
Design, implement, and own end-to-end machine learning features and pipelines from ideation and prototyping to productionization and monitoring
Build and scale NLP/LLM-driven systems that turn raw product text into structured representations (e.g., classifications, embeddings, summaries, agents)
Think and operate in production: handle scale, monitoring, failure modes, and iteration not just research

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 our companys SASE platform, powering core products such as DLP, XDR, IPS, and AI Security.
Leveraging rich, real-time data from our global backbone and the our company Cloud data warehouse, you will apply advanced analytics, machine learning, and deep learning techniques to solve complex cybersecurity and networking challenges. You will also collaborate closely with internal business departments to accelerate AI adoption and develop intelligent systems that deliver operational efficiencies and strategic value across the company.
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 machine learning models and AI features that enhance our companys security and networking products
Analyze large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Collaborate cross-functionally with product, engineering, sales, and support teams to translate business needs into AI solutions
Drive AI adoption internally by working with business units to implement generative AI and other intelligent systems that deliver measurable impact
Define and track success metrics to ensure AI solutions meet performance and business goals.

we are the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). our companys unique technology inspired a brand-new product category, later named SASE by Gartner and a market expected to reach $25 billion by 2027.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader dont miss it!
Responsibilities:
Gather and analyze large financial datasets from various sources (e.g., CRM, accounting systems, market data feeds), leveraging SQL, Python, BI, or other relevant tools.
Clean and prepare financial data for analysis, ensuring accuracy, consistency, and adherence to accounting principles.
Identify key financial trends, patterns, and insights related to bookings, revenue, expenses, profitability, and cash flow.
Conduct variance analysis to understand deviations from budgets and forecasts.
Develop and maintain financial dashboards and reports using BI tools like Tableau, Power BI, or similar platforms to track key performance indicators (KPIs).
Communicate complex financial data findings clearly and concisely to both technical and non-technical audiences, including financial analysts, management, and executives.
Support the development and implementation of data-driven solutions to improve cost efficiency, optimize resource allocation, and enhance financial performance.
Collaborate with cross-functional teams to understand business requirements and develop analytics strategies to support revenue growth.
Stay up-to-date with the latest trends and advancements in financial analysis and data visualization tools.
Perform ad hoc financial analysis as needed to support various business initiatives.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.

We are seeking a highly experienced and visionary Director, Data &
Analytics to lead our data organization. Reporting directly to the VP of Data, GRC, IT, and
Security, you will be responsible for defining and executing; data strategy, ensuring the
reliability, scalability, and impact of our data assets. You will lead five critical domains: BI
Engineering, Data Engineering, Data Platform, BI Product, and BI Labs (Data Science),
fostering a culture of data excellence, innovation, and partnership across the company.
This role requires a unique blend of deep technical expertise, strong leadership capabilities, and
a keen understanding of how data can drive business value in a fast-paced, data-intensive
environment.
What will you do?
Strategic Leadership: Develop and execute a comprehensive data strategy aligned with ' business objectives. Identify emerging data trends and technologies, and drive their adoption to maintain a competitive edge.
Team Leadership & Development: Lead, mentor, and inspire five diverse teams (BI Engineering, Data Engineering, Data Platform, BI Product, BI Labs), comprising talented engineers, analysts, product managers, and data scientists. Foster a high-performance culture, promoting continuous learning, collaboration, and career growth.
Data Engineering & Platform Ownership: Oversee the architecture, development, and maintenance of ' core data infrastructure, including data lakes, data warehouses, ETL/ELT processes, and real-time data pipelines. Ensure data quality, availability, and governance across all data assets.
Business Intelligence & Analytics Enablement: Drive the development of robust BI solutions, semantic models, and reporting infrastructure that empower business users with actionable insights.
Data Science & Advanced Analytics: Guide the BI Labs team (Data Scientists) in applying advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems, identify business opportunities, and promote AI for predictive analytics .
Cross-Functional Collaboration: Partner closely with engineering, product, R&D, sales, marketing, and finance teams to understand their data requirements, deliver impactful data solutions, and evangelize data-driven decision-making across the organization.