דרושים » ניהול ביניים » Senior data Scientist

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.

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 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.

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.

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).

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 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.