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Required Data Science Intern - Master's / PhD Student
Tel Aviv
Join us and be part of a leading force in the analytics industry. Our developer-first approach in embedded analytics offers a distinctive and stimulating environment for technology professionals.
Position Overview:
Join us as a Data Scientist Intern where you'll dive into the fascinating world of AI, particularly Large Language Models (LLMs). This role is ideal for those passionate about data-driven insights and eager to contribute to the development of cutting-edge AI technologies.
Key Responsibilities:
Data Exploration: Delve into complex datasets to uncover patterns and insights,
Algorithm Enhancement: Support the refinement of algorithms that power LLMs, focusing on optimizing accuracy and efficiency.
Cross-Functional Collaboration: Engage with diverse teams, including engineers and product managers
Rigorous Testing: Conduct testing, validating robustness and reliability, and document your findings for stakeholder review.
Effective Documentation: Develop clear, concise reports and presentations to communicate complex data and model behaviors across various audiences.
Internship Duration:
6-month period, adaptable to academic commitments and project demands.
Part-time position at 80% of full-time.

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

Responsibilities:
Lead and grow a team of passionate, talented engineers.
Lead the development of a business-critical system using modern web technologies.
Advancing Gloats technology by building a scalable micro services architecture.
Collaborate on roadmaps with Product Managers, Architects and Tech Lead to ensure the team has clear direction and priorities.
Work closely with Gloat customer success organization to enable fast and seamless onboarding.
Manage employee career development by providing coaching and mentoring, continuous performance feedback, collaborate with employees on their objectives and provide a clear path for progression through personal development plans.
Continuously learn and improve your professional and managerial skills.
Develop processes and tools to monitor and improve performance, quality and usability.
Adapt and solve problems as they arise.

Responsibilities:
Lead and grow a team of passionate, talented AI Engineers and Data Scientists in exciting applicative science projects.
Leverage Knowledge Graphs, Vector spaces and unique Large Language Model design patterns for cutting edge applicative AI.
Build for large-scale cloud SaaS solution in collaboration with Product Managers and Architects, ensuring the team has clear direction and priorities.

We're on the lookout for a dynamic Full Stuck Marketing Developer to join our innovative eCommerce team. As the ideal candidate, you seamlessly blend advanced technical expertise with a deep understanding of marketing strategies. Your role will involve crafting and optimizing email campaigns, ensuring a flawless user experience while maximizing engagement and conversion rates. From coding responsive templates to implementing automated workflows, you'll leverage your development skills to drive our in house email marketing initiatives. If you're passionate about creating compelling, data-driven campaigns and possess a unique fusion of coding prowess and marketing insight, we invite you to be a key player in revolutionizing our eCommerce communication strategy. Join us in shaping the future of digital retail!



Responsibilities:



Lead the development initiatives for our innovative retention marketing strategy, skillfully applying coding expertise across email, SMS, Push Notifications, and more to pioneer and create novel marketing methods and concepts for enhanced customer engagement and retention.
Execute daily email marketing activities, covering campaign setup, A/B testing, scheduling, and deployment of diverse customer-facing emails. Conduct thorough QA to ensure precise creative content, linking, and copy.
Monitor and report on campaign performance, providing insights and opportunities for continuous optimization.
Innovatively build, test, and analyze customer segments and personalization to drive superior engagement, retention, and reactivation.
Provide project management support to the Retention Marketing Team, ensuring seamless execution and securing approvals.
Collaborate closely with internal stakeholders from Creative, Data Science, Product, R&D and Merchandising teams.
Stay abreast of email best practices and industry trends.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

Our Customer Experience team is looking for an experienced & driven Technical Project Manager. This position will be reporting to the VP of Customer Experience.



What Youll Do



Specifying and building tools to improve the speed, quality, and efficiency of Customer Experience.
Assisting with the documentation, mapping and constant improvement of procedures.
Analyzing workflows and making suggestions to improve efficiency and effectiveness.
Developing and maintaining standard operating procedures for common situations and maintaining all CX platforms - Onelogin, Zendesk, Talkdesk, Klaus, Magento, Slack and other tools.
Preparing performance reports by collecting and analyzing data to help discover new business opportunities.
Taking action regarding responses and reporting to the organizations leadership.
Identifying and acting to remove obstacles to delivering consistently high levels of service for all global Support Sites.
Working closely with leadership to help the Customer Experience team to deliver on their components of overall company goals and objectives.
Defining and improving Customer Experience workflows.

We are looking for a Head of Games.
The Head of Games determine, implement and monitor research and development strategies and priorities of the department. Will drive business development and commercials terms with company customers. The role includes the following.

We're looking for a Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Backend Engineer, you will take part in developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Design, develop, test, deploy, maintain and improve the software.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are seeking a Tech Ops Specialist for a dynamic and challenging role providing critical technical support to customers .
If you're looking to impact the future of the maritime industry, to be part of an awesome team, and to have a great time, this is the job for you!
A TechOps Specialist is responsible for managing deployed systems - including the hardware, software, and networking components.
Systems monitoring - continuously monitor the organization's systems to ensure they run smoothly and detect potential problems. Systems monitoring is responsible for collecting data on system performance, setting up alerts to notify them of any issues, and analyzing system logs to identify the root cause of problems. They also perform routine health checks to ensure that systems are healthy and functioning as expected.
Automation - automate processes and tasks to improve efficiency and reduce the risk of errors. Automation capitalizes on automating software deployments, backups, system updates, and other routine tasks such as system health checks and performance monitoring. Automation also frees up time for TechOps professionals to focus on more complex tasks.
Collaboration - work closely with other teams, such as development, DevOps, QA, and PM, to ensure that systems are aligned with business needs and goals. TechOps professionals also support other teams and act as a resource for technical issues and questions.
What will you do?
Provide technical support to customers worldwide
Solve networking technical issues
Bring up and maintain Linux servers
Troubleshoot complex technical issues
Deploying SW upgrades
Working with diverse teams to ensure customer satisfaction

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

We're on the lookout for a QA Engineer to join our team and help shape the future of the shipping industry, particularly in the realm of autonomous ships.
At Orca AI, we're dedicated to advancing the maritime industry with intelligent navigation solutions that prevent collisions and save lives.
Our vision is to enhance safety in congested waterways and deep waters by reducing human-caused errors through intelligent automation.
Our technology empowers Captains and Officers on the bridge with real-time, accurate environmental data, enabling them to make critical decisions confidently. By harnessing AI and innovative tools alongside existing infrastructure, we're charting a new course in marine transportation.
Here's what you'll be responsible for:
Crafting test plans for a marine IoT device.
Investigating software issues through testing, covering Linux devices running Docker images and cloud services.
Developing and executing test automation scripts.
Collaborating closely with other QA engineers, software developers, and the product team to devise effective solutions.
Staying updated with the latest industry advancements.

We are looking for a Test Automation Engineer to join our team and to be part in creating the future of the shipping industry in the field of autonomous ships.
As a Test Automation Engineer, you will design and create Orca AIs automation testing solutions.
What will you do?
Design the automation infrastructure
Developing the automation testing solution
Create and run test automation scripts
Research issues in software through testing.
Collaborate with the QA team and with Software Developers to develop solutions.
Keep updated with the latest industry developments.

A modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.
We are looking for a Backend Engineer to join a growing team!
Our Stack:
Scala, Node.js
Kafka Streams / Akka Streams
Spark
Kafka, ElasticSearch, Redis
Kubernetes
AWS
What You'll Do:
End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior.
Solve diverse complex problems of high scale
Collaborate with other engineers and product managers in order to improve our products
Review code, architecture, and data to identify and troubleshoot problems