לוח משרות דרושים Data Scientist

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 R&D Product team is looking for a Data Field Operator.

Responsibilities:

Test drive the system and collect data daily.
Full responsibility over local test vehicles.
Work closely with the R&D to ensure the system is well up to date and meets test requirements.
Hands-on Integration of new HW - SW systems and maintaining existing
Prepare the system for and during high-focus customer demos.
Evaluate system behavior and create product analysis reports that summarise key metrics.
Validation of the ADAS system in the vehicle until ready for series production
The position requires frequent travel abroad

Were seeking a top-notch Applied Researcher with broad experience across different data science domains and solid coding skills. Building on the success of the open-source package and monitoring solution, weve expanded our offering to provide state-of-the-art validation to LLM-based applications. In this role, you will be in charge of developing these abilities which include fine-tuning of LLMs and training BERT-based models, working with similarity-based algorithms, training classical models, and more. deals with a wide range of data domains with various challenges, most of which have no textbook solution. As a data scientist in a startup whose product is designed for fellow data scientists and LLM engineers, you will have a unique opportunity to shape our product from a users point of view and engage with teams in different organizations.

Well be going through a lot together, so we want your character and mindset to be a good fit for a fast paced startup.

we are looking for a talented and hands-on Data Scientist to design and implement algorithms and models in the field of cyber security.
As a data scientist in our team, you will have a vital role in shaping the content of our product and solving business cases for our customers.
Were looking for an awesome team player who can also take the lead on interesting projects and deliver results.

Key Responsibilities
Research existing and new data sources to extract meaningful value for our customers
Define and translate business cases and product needs to algorithmic tasks
Design, develop and implement statistical models, ML methods and algorithms to solve problems and create new features

Were looking for a dynamic AI Data Science Manager whos eager to drive change in our industry as an experienced team leader. Youll use your passion for machine learning and artificial intelligence to push forward innovation around risk and fraud mitigation, deep learning for NLP, and computer vision while enhancing our tech and your team of data scientists.

In this role, youll help shape our team and take on diverse projects to ensure were achieving our most important organizational objectives with machine learning based solutions. If you're a creative, self-starting leader passionate about AI and ready to influence our company's direction, this position is tailor-made for you.

In this role youll
Research and apply advanced solutions to real business problems

Take full responsibility on projects end-to-end from business question all the way to production

Develop models and tools using machine learning, deep learning, and NLP techniques

Apply and inspire the adoption of advanced data science across the business

Lead a team and work independently, understanding business requirements and how they relate to important business KPIs

Work directly with product managers and presenting your work to internal stakeholders

We are hiring a Staff Data Infrastructure Engineer to join the Team at SuperSonic Studios. We are looking for talented, curious, hands-on, business-oriented, and highly motivated candidate to enhance and support our extensive code infrastructure and our great data engineers, BI and Science teams. You will work with different stakeholders, BI, R&D, Growth, product team & Data science. Reporting to the Director of Data Infrastructure and co-working with the Data Infrastructure Manager. You must have a good understanding of the business and internal customers needs in order to provide them with the most useful and clear infrastructure. Also, we welcome you to put your ideas on the table and take initiatives during the project life cycles.

What you'll be doing:
A Staff Data Infrastructure Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. Working closely with data scientists, software engineers, and other stakeholders to ensure the availability, usability, and integrity of data. Managing the cost reduction of the data team over the data infrastructure
Handling the POCs and new projects, supporting all the data engineering team members, providing technical guidance and assistance.
In charge of the machine-learning data stuck for offline and online.
Overseeing Data Architecture and Management, Managing the cost reduction of the data team.
Work with top notch data tools and environments at high data scale and super significant to the business. PB data scale.
Working on a large scale of Data, creating data lake infrastructure based on docker/Airflow combined with lots of AWS services & creating MASS ETL tools.
In addition, creating the data lake of the division, along with Presto over EMR.
In charge of 1B events per day, including log-servers written in Go-lang.
Working with Upsolver over AWS kinesis streams.

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!

This position is based in Tel Aviv, and you will report directly to the Data Science Team Leader.

We cant promise it will be easy, but definitely exciting and most importantly FUN.

Lets get down to business:


The opportunity

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 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.

we are seeking an experienced Data Scientist to join the Financial Integrity Data Science team. Our data science team works very closely with Product Managers, Data Engineers, Software Engineers, Economic Researchers, Compliance, and Risk Management to build intuitive, secure products to solve some of the most challenging problems, at a scale that few companies can match. This is technically challenging, will have massive global impact, and you will get to work closely with smart folks on an intellectually challenging initiative.

This is a full-time position based in our office in Tel Aviv, Israel.
Data Scientist - Financial Integrity Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

we are looking for a Data Scientist, Product Analytics
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

We are using a variety of ML and stats models and algorithms, from classic supervised learning, to anomaly detection, unsupervised learning and semi supervised learning, to detect and mitigate ongoing fraud campaigns.

In our solutions we are using Graph Neural Networks, Ensembles, Boosting, Regression models, Time Series data, Causal Inference and more.
Machine Learning Engineer - Financial Itegrity Risk Responsibilities
Play a role in setting the direction and goals for the ML pillar, in terms of project impact, ML system design, and ML excellence.
Owning the entire development cycle, from ideation to realization across the stack. Designing and developing machine learning models using supervised, unsupervised, and deep learning techniques.
Implementing and testing machine learning models in a production environment
Take part in the overall team engineering efforts and contribute with hands-on work
Working with software engineers to integrate machine learning models into applications and systems
Collaborating with data scientists to identify and select appropriate machine learning algorithms and techniques

*Employment as a contractor through a third-party agency
Our Company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management. We support farmers by providing real-time actionable information to help them manage their herds. It provides pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife. Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation. We are looking for a highly talented and motivated Data Engineer to join the R&D team. As a Data Engineer you will develop the company’s animals monitoring Data platform. The Data platform is taking a major part in the company vision, it is responsible for collecting, storing and analyzing data from various sources and expose it to various data consumers. We are looking for engineer with a real passion for BI and Data analytics, building products based on analytics. The ideal candidate is a strong and independent individual, with solid background and experience in cloud and big data technologies who knows how to design and develop state of the art products on this area Responsibilities: • Build data pipelines and sub systems that are scalable and sustainable throughout their lifecycle. • Build efficient, extensible data models from a variety of sources. • Work closely with various stakeholders and data scientists to roll out new products.