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We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

Our company is a data -driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns.
This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With company's technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about managing their land and resources.
We're looking for a dedicated Senior data Scientist to join our office in Tel Aviv, to be a key player in company's success.
On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more.
You'll be alternating between individual projects and team efforts, and you will:
Plan bee-hive and crop-pollination in-field data acquisition.
Build predictive models and algorithms from this data.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

We are looking for an experienced Project Manager to lead one of the most strategic initiatives within the Seller Management team and own the teams business operations.
As an Analytics Project Manager, you will ensure that we have the right quantity and quality of sellers - across a broad range of skills, experience levels, and price points - to meet our buyers diverse needs.
The ideal candidate has a professional background as a Data Analyst - with proven experience in complex data analysis - who is looking to transfer their analytical skills to a strategic business role.
What am I going to do?
To succeed, you will need to lead and deliver three main initiatives:
In the short term, you will develop and lead the creation of supply management capabilities, to enable the identification of supply gaps. You will extract data to determine supply levels on each shelf, map all the parameters that affect supply levels, determine optimal supply thresholds and buckets, and define supply gaps relative to the required demand, across categories, prices, languages, and professional levels.
In the medium term, you will scale tools to mitigate those supply gaps. You will work with cross-functional teams - such as Product, Data, Professional Evaluators and Verticals - to analyze the current supply state; formalize business cases; and identify, design and build the necessary features and tools.
In the long term, once youve successfully created and implemented the supply management capabilities and tools, you will own our supply management operations, and be responsible for its business metrics, such as the quantity and quality of sellers, and level of e-commerce experiences.
Ultimately, you will lead end-to-end project ideation, planning, and execution, guided by heavy data-driven decision-making, and upon successful implementation, serve as the Supply business owner. Accordingly, this role demands proven experience in complex data analysis, structured problem-solving skills and project management.

we are looking for a Senior Data Scientist
Responsibilities

Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..)
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).

We are hiring a senior data scientist to join our data science team.
A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. We bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
We believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview:
The data science team provides the bottom line to our customers which patients are the best fit for a cancer treatment and what is the chance of success.
We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results.
We work together with subject-matter experts, from medical doctors to software engineers, to leverage computer vision, focus on the most promising biological hypotheses and to productionize our capabilities.
Responsibilities:
Independently lead the data science perspective in any project or assignment from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
Contribute to the team's internal codebase with high-quality code and development standards.
Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.
Why join us?
There are plenty of reasons:
Your job matters, use your experience and skills to implement solutions that save lives.
Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.

Our Research team is growing, and we are looking for a Senior ML Engineer to join the team.
Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.

Our Research team is growing, and we are looking for a Senior Data Scientist to join the team.
Not Your Typical Senior Data Scientist Role
As a Senior Data Scientist, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models, infrastructure development, and reserach.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ

Required Senior Data Scientist
The opportunity:
Want to make a real difference in the mobile industry? Join our cutting-edge data science team as a Senior Data Scientist and be part of the team that personalizes experiences for over 400 million mobile users worldwide.
You'll be on the frontlines of innovation, using the latest tech to research, design, implement, and evaluate advanced machine learning algorithms. This role will allow you to develop real-time solutions that personalize the user experience, directly impacting the product.
If you're a data scientist who thrives on making an impact, this is the perfect opportunity for you!
What you'll be doing:
Apply cutting edge solutions while leveraging our vast amounts of data
Develop on-line and scalable models and tools using machine learning, deep learning and NLP techniques
Take on projects end-to-end from business question all the way to production
Work alongside machine learning experts, big data engineers, product managers and developers from across the organization to solve complex problems.

Were looking for a high performing, ambitious and self-motivated Business Strategy Manager to join our growing Strategy team.
As a Business Strategy Manager, youll proactively seek scalable growth opportunities across the business, constantly question, challenge, and improve internal practices, and widely monitor all areas of the business and supply stakeholders with relevant AI.
Responsibilities:
Perform research, monitor trends, and create reports to better understand user behavior, trends, game health, and how they relate to the company's overall strategy.
Design and develop structured methods, tools, and metrics to support efficient and advanced solutions to diverse business needs.
Design and execute tests independently to improve user experience.
Lead cross-organizational processes and best practices across the company.
Create and manage different revenue generators in the game to maximize profit.
Be responsible for data & knowledge management of treatments in the game and their impact; support decision making processes and execution methods.