לוח משרות דרושים הייטק דאטה

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!.

We are looking for an experienced Data Analyst to join our Data Group.
As a Senior Data Analyst, youll be at the forefront of driving business decisions in a fast-paced environment, leveraging advanced analytics, root cause analysis, and prescriptive statistics to uncover actionable insights. Collaborating with cross-functional teams, youll diagnose performance issues, optimize algorithms, and implement automation to streamline processes. Youll experience instant gratification as your insights and recommendations drive real-time changes that directly impact the business.
Analyze & Interpret Data: Harness your SQL expertise to query large datasets, conduct root cause analysis, and deliver prescriptive insights that drive impactful business decisions in real time.
Collaborate Across Teams: Partner with product managers, data scientists, and engineers to uncover trends, validate hypotheses, and address anomalies with data-driven precision.
Solve Business Problems: Apply advanced analytics and automation to diagnose root causes, implement solutions, and optimize performance in a fast-paced environment.
Drive Real-Time Impact: Experience instant gratification as your insights shape critical KPIs, enabling the business to adapt and grow in real time.

We are looking for a Data Analytics Team Leader to join and lead our Data Group.
What You'll Do:
Lead & Mentor: Guide and develop a team of skilled data analysts, ensuring their alignment with company objectives and fostering a culture of excellence and collaboration.
Collaborate Strategically: Work cross-functionally with product managers, data scientists, and engineers to drive impactful decisions through data insights, ensuring alignment between business goals and technical solutions.
Hands-On Expertise: Stay hands-on with advanced analytics and data interpretation while setting strategic priorities for the team.
Optimize & Innovate: Identify root causes, solve complex business problems, and implement automated solutions to streamline processes and optimize performance.
Drive Real-Time Impact: Ensure your teams analyses directly shape critical KPIs and adapt to real-time changes in a fast-paced, data-driven 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 companys 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 companys users and business outcomes.
Responsibilities:
Machine Learning: Design, Research, analyze, develop, and implement predictive models, from inception to production, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Code review to peers, maintain 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 AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

We are looking for an experienced Data Engineer to join our team. In this role, you will be a critical part in developing Secure Data Collaboration Platform. This position extends beyond traditional data engineering, incorporating key elements of backend development, including designing and implementing APIs for seamless interactions between teams.
You will work closely with data scientists, supporting their workflows by building scalable infrastructure, optimizing data pipelines, and ensuring efficient access to diverse data sources. A strong understanding of data science principles and computational frameworks is essential to succeed in this role
Responsibilities:
Planning and developing infrastructure for the Data Science team (Computational Framework)
Building and optimizing distributed data pipelines
Developing and maintaining connectivity to various data sources (Relational DBs and others)
Designing and setting up APIs for cross-team integrations
Maintaining and improving the Computational Framework CI process
Delivering high-quality, well-tested code with excellent automated test coverage

As an AI Data Science Team Lead, you will lead the Clinical AI domain in the Data & AI group. You will be responsible for building, deploying, and evolving clinical prediction models and LLM based agents that power our AI-first user experiences - starting with our conversational health assistant and expanding into risk prediction and disease management.
You will lead a cross functional team of data professionals and work closely with Product, R&D, and Data Platform teams to bring data-driven ML/AI solutions to life.
Responsibilities:
Lead a team of data scientists & analysts
Work closely with the engineering team on delivering AI agents to our product - collaborate on design, testing, deployment, monitoring and iterative improvements
Establish best practices for agent observability & evaluation
Partner with Product Managers to translate user journeys into intelligent conversational flows
Define how real-time data from the app, wearables & clinical events is injected into agent memory
Implement other novel algorithms and investigate new technologies to improve the clinical impact of our product and actually save lives!!

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.

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

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.
You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.
What you'll do:
Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.
Develop and optimize data infrastructure to support real-time analytics and reporting.
Implement data governance, security, and privacy controls to ensure data quality and compliance.
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers.
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions
Tech stack: AWS Serverless, Python, Airflow, Airbyte, Temporal, PostgreSQL, Snowflake, Kubernetes, Terraform, Docker.

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.

As a Data Engineer, you will be instrumental in building and maintaining the data infrastructure that power our analytics and decision-making processes. Working closely with the broader data team, R&D, and various stakeholders, you will design, implement, and optimize data pipelines and storage solutions, ensuring efficient and reliable data flow across the organization.

Responsibilities:
Design, develop, and maintain scalable data pipelines using tools such as Airflow and DBT.​
Manage and optimize our data warehouse in Snowflake, ensuring data integrity and performance.​
Collaborate with analytics and business teams to understand data requirements and deliver appropriate solutions.​
Implement and maintain data integration processes between various systems and platforms.​
Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption.​
Stay updated with the latest industry trends and technologies to continually improve our data infrastructure.​

Required Data Analytics Project Manager
Our team's responsibility is to lead our data product by defining data processes. As the main point of contact for data issues across the company, we are constantly improving data enablement processes and supporting our data users within the organization.
We're looking for a talented Project Manager with a can-do attitude and strong communication skills.
Also, our Project Manager has strong technical skills, and is capable of learning new technologies quickly and on his own.
Submit if you think you have it :)
What will your job look like?
Support and manage the full life cycle of a project, both internally and externally with the customer (OEMs and Tier 1s), for all data scopes.
Manage specific workstreams as part of a larger project management group
Work internally with the Algorithm, SW, Integration, and Data teams to achieve defined processes and track plan progress
Tasks prioritizations
Manage and own the system design and its external interfaces.
Manage project risks
Attend and lead meetings and workshops with OEMs and Tier 1s
Communicate project status internally.

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.

The successful candidate should have hands-on experience with big data processing technologies and architectures.

The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.



Responsibilities

Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.