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We're looking for an experienced Backend Developer to join our growing data platform team.
As a Backend Developer, you'll work on a massive data processing pipeline, ingesting over a billion daily events from multiple sources. You'll also create the next-generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Own projects from initial discussions to release, including data exploration, architecture design, benchmarking new technologies, and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data-related issues.
Develop unit, integration, end-to-end (e2e), and load tests.

Required Senior Data Engineer
About the Role:
Our Senior Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.
In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role for our Tel Aviv office is a hybrid role working at least two days per week in the office.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
The ideal candidate will be:
A technology enthusiast who loves data and get shiver excitement from tech innovations
Desire to know how things work and a greater desire to improve them
Intellectual curiosity to find unusual ways to solve problems
Comfortable taking on challenges and learning new technologies
Comfortable working in a fast-paced dynamic environment.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group.
Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in MLOps, machine learning and AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

we are looking for a hands-on Data Engineer Team Lead with a strong technical background in data infrastructure to join our Data Engineering & Data Science Group.
The Data Engineering & Data Science Group is a rapidly expanding team of skilled engineers. By joining them, youll have the opportunity to make a meaningful impact in shaping our data platform and contributing to the groups strategic roadmap.
In this role, youll be responsible for the professional and personal development of your team. Youll lead the technological strategy, build the tech agenda, work closely with the product, data-analysts and data-scientists, and drive your team to be accountable owners of their work as they meet company business goals.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Build, lead, coach, and mentor the data engineering team
Dedicate 70% of your work to hands-on development
Manage the agile delivery life-cycle and the teams CI/CD pipelines
Ensure coding standards and implementation of best practices by conducting design and code reviews
Lead an innovative roadmap considering cutting edge technologies and open source frameworks
Collaborate with engineers, data architects, data analysts, and data scientists to develop solutions using a use case-driven approach, guiding the design and implementation of technical data flows
Build and expand our data infrastructure, including our data lake, analytics engine, orchestration tools and batch processing frameworks
Enhance and scale our ML platform, and automate the machine learning lifecycle.

we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.
As a Senior Data Scientist at our company, youll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. Youll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.
Your work will directly enhance the safety and quality of advanced automotive systems and cybersecurity solutions. At our company, we prioritize talent development, offering you opportunities to learn, innovate, and grow in a collaborative environment.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
Search and craft indicative features that will enhance the value of ML models
Explore, design and deploy cutting-edge ML models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with our data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.

Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.

We are seeking a highly experienced and innovative analyst who can bring advanced analytical techniques to our team. Your expertise with large datasets and deep understanding of field operations dynamics will drive impactful insights for our growing operations. In this role, you will play a crucial role in ensuring efficiency to the core operations of our organization.

As couriers have complete freedom to choose when to go online and which tasks to approve, their behavior affects our overall levels of service and metrics. Optimizing and molding their behavior via analytical insights is an everyday, game-changing mission. For this mission, amongst other things, you will be developing and optimizing payment models, researching challenges and opportunities in our day-to-day operations, raising flags and providing analytical insights to other operations teams.

What youll be doing
Monitor and analyze core operational KPIs (courier income, task acceptance rate, delivery times, efficiency, etc.)
Conduct data analysis to derive meaningful insights and trends that go beyond surface-level observations
Implement strategies to enhance efficiency and reduce costs.
Develop processes & tools to balance between KPIs and find optimization opportunities.
Design, build, and monitor courier payment models that are fair and lucrative for couriers while aligning with business goals.
Support our geographic expansion over the country as well as our expansion into new product lines and business projects.
Collaborate with other teams locally and globally - such as product, global operations, and analytics.

we are looking for a Lead Data Scientist
How will you make an impact with us?

Build the data capability for this new, exciting business from the ground up. As the day-one employee, you have the ability to own and shape the strategy for how data is used in our Sweeps division.

Hands-on delivery of rich insights, a visualisation suite for the whole organisation with direct exposure to the General Manager and C-Suite.

Use data analytics to track KPIs, player behavior, spending patterns, and overall trends. Use these insights to adjust strategies, achieve targets, and inform strategic decisions that optimize organisation-wide KPIs.

Design and deliver data science models that predict revenue growth and player engagement in addition to models that focus on creating the best player experience through personalised recommendations for content matching, player networking, and offer optimisation.

Continuously measure, evaluate and improve the data and analytics ecosystem to ensure that the strategies of key stakeholders in Marketing, Economy, Player Services, and Product Design are supported through data driven insight generation and modelling.

Develop and maintain strong relationships with Stakeholders across the organisation, work closely with other departments (marketing, product development) to align high-value data initiatives with overall company goals.

Provide advisory services within the organisation around how data and analytics can be used to achieve goals.

We're seeking a seasoned Data Engineer to build the data infrastructure that fuels our groundbreaking intelligent agent. You'll play a crucial role in developing large-scale data-intensive systems that power Apollo's capabilities.
What You'll Do:
- Design and implement massive parallel processing solutions for both real-time and batch scenarios
- Develop real-time stream processing solutions using technologies like Apache Kafka or Amazon Kinesis
- Build infrastructures that bring machine learning capabilities to production
- Orchestrate containerized applications in cloud environments (AWS and GCP)
- Write production-grade Python code and work with various database systems
- Administer and design cloud-based data warehousing solutions
- Work with unstructured data, complex data sets, and perform data modeling
- Collaborate with cross-functional teams to integrate data solutions into our AI systems.

Module row data into data warehouse tables according to data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.

Lead and mentor a team of data analysts, providing guidance, support, and professional development.
Collaborate with stakeholders across Operations, Product, Tech, and Program Managers to define data strategies and ensure alignment with business goals.
Design and implement scalable data models, dashboards, and reports that provide actionable insights.
Drive data-driven decision-making by analyzing trends, identifying opportunities, and proactively addressing challenges.
Establish and track key operational KPIs, ensuring data integrity and accuracy.
Manage multiple projects, prioritize tasks effectively, and ensure timely delivery of insights to support business objectives.
Advocate for best practices in data analysis, visualization, and data storytelling across the department.
Continuously improve processes, tools, and methodologies to optimize efficiency and impact.

Were looking for an experienced Data Engineer to join our amazing Data department and to help us to take our data platform and data usage to the next level. Our technology stack is based on Googles Cloud Platform and its different components.

What youll be spending your time on: 

Develop end-to-end data models: from gathering data sources to creating ETL processes that enable smarter, data-driven decisions.
Build automated validation processes to ensure data integrity, system stability, and data observability.
Optimize process run-times and provide scalable solutions to complex problems.
Take full ownership of designing, building, deploying, and maintaining data products.

We are looking for an experienced Senior Data Analyst to join the Financial Planning & Analysis department as a foundational member of our in-house Data Analytics team. This critical role will specifically partner with our Revenue team, working with them to track and analyze the drivers of our variable profitability, ranging across: customer behavior trends, pricing strategy, product profitability, and more. To succeed in this role, you should be very comfortable coding in Big Query, visualizing with PowerBI, and most unique to this data analyst position enjoy applying these skills to finance-specific analyses.



What youll be spending your time on:

Lead end-to-end development of new BI solutions to enhance the Revenue teams reporting and analytical capabilities (e.g., writing complex, efficient Big Query SQL queries that feed Power BI dashboards).
Partner with business stakeholders to understand and address their reporting and analytical needs.
Help define and design new key metrics and segmentations to improve how we track the business.
Work closely with the Data department to identify and support implementation of data-related improvements across the organization.

We are looking for An experienced Senior Finance Data Analystto join our Financial Planning & Analysis team as the local FP&A system platform support and knowledge center. This critical role will partner closely with our global FP&A team, providing new tools, dashboards, and ad hoc analysis based on our FP&A system. Additionally, you will build BI reports that support the team and management. You will also play a key role in the implementation of a new FP&A system. To succeed in this role, you should be highly proficient with financial planning systems, skilled in visualizing data with PowerBI, and capable of creating new tools and data to support decision-making.

What you'll be spending your time on:

Developing and maintaining the FP&A planning platform.
Leading end-to-end development of new BI solutions to enhance the FP&A teams reporting and analytical capabilities.
Partnering with FP&A members to understand and address their reporting and analytical needs.
Participating in the implementation of a new FP&A system.