לוח משרות דרושים Data Scientist בתל אביב יפו

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.
Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.
Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.

Who are we??? A pioneering music and art platform, committed to empowering creators with accessible and high-quality content. We are obsessed with our customers, value fast delivery, thrive on creativity, and champion collaboration. We believe in fostering an environment where innovation meets art, and music fuels creativity.
Position Overview:
We are seeking a passionate and experienced data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. With at least 3 years of experience in the field, the ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team.
Key Responsibilities:
- Design, develop, and deploy Machine Learning algorithms from inception to production, leveraging machine and deep learning frameworks
- Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
- Deliver end-to-end Machine Learning -based features at a rapid pace, ensuring high-quality and impactful user experiences.
- Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
- Contribute to the development of recommender systems and search functionalities, enhancing user engagement and satisfaction.

The Core Engineering group specializes in developing EverC's Data & AI-based detection capabilities, processing millions of data points daily. Identifying threats, revealing patterns, and seizing opportunities are our core objectives. Maintaining a robust and reliable data infrastructure is paramount to our success.
Role & Responsibilities:
EverC is actively seeking an experienced and passionate Data Scientist / Machine Learning Engineer to enhance our capability in identifying and mitigating the presence of undesirable products on well-known e-commerce platforms. In this critical role, you will leverage our vast data resources to drive innovations from the ground up. Your responsibilities will include:
Assume full ownership of end-to-end ML projects, from data analysis, design, and planning, to implementation, deployment, and impact analysis.
Proactively seek out and evaluate new ML and DL algorithms, including LLMs and computer vision algorithms, to enhance system performance. By developing prototypes and conducting experiments.
Collaborate closely with software engineers, data analysts, and product managers to ensure productization of ML solutions.

We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for good causes. Being a great team member means being eager to learn and grow, able to challenge while accepting being challenged, and working for the team and the product with enthusiasm and passion.

We are now hiring a Senior Data Scientist, with the experience, skills and data-driven reasoning to take a leading role in solving our core data science challenges. To meet these, You will be expected to exhibit outside-of-the-box thinking and leadership skills, while collaborating with the engineering, hardware, data and field application teams.

As a member of our Power AI team, you will tackle unique challenges in the domain of Optical Fiber Sensing in electric power lines. Fiber Sensing data measures the acoustic signal along an optical fiber which can be interpreted as a continuous acoustic signal originating from tens of thousands of microphones spanning over hundreds of kilometers. You will cultivate a deep familiarity with this domain and research novel ML approaches that address domain specific challenges.

Responsibilities:
Devise, initiate and manage machine learning projects for solving challenging problems in the Power domain.
Develop cutting edge models for regression, classification, time series forecasting, and more.
Use advanced data analysis and visualization tools to gain insights from diverse real-world physical data.
Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection, and collaborating with fellow physicists and engineers.
Learn new topics and conduct literature reviews to gain deep familiarity with relevant physical domains, such as optics, acoustic vibrations and weather forecasting.
Work in a dynamic environment of short life cycle research and development.

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

Required Data Scientist
Your Mission:
As a Data Scientist, your mission will be to leverage your expertise in machine learning and generative AI to develop and implement models and Gen-AI tools that enhance our analytics, product development, and operational efficiency. You will play a crucial role in interpreting and analyzing complex data sets to provide actionable insights, drive strategic decision-making, and create cutting-edge innovative solutions that keep us at the forefront of the payment technology industry.
You will collaborate closely with data engineers, business analysts, and product teams to identify opportunities for leveraging company data in new ways. Through your work, you will enable us to harness the full potential of our data, ensuring that our strategies and products are informed by deep, data-driven insights.
Responsibilities:
Develop and implement advanced machine learning and generative AI models to solve complex business problems, enhance product offerings, and improve customer experiences.
Conduct data exploration and feature engineering to uncover hidden insights and identify opportunities for leveraging data across the business.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations.
Stay abreast of the latest developments in machine learning and Gen-AI technologies, applying cutting-edge techniques and tools to drive innovation within.
Evaluate model performance and continuously iterate on and refine models to maintain their accuracy and relevance.
Communicate complex data concepts and the results of analyses clearly and effectively to stakeholders across the company.
Utilize big data technologies to process and analyze large datasets efficiently, ensuring scalable solutions for data-driven insights.
Design and implement big data machine learning solutions using technologies such as Spark, and Kafka for real-time data processing and analytics.
Explore and integrate new big data technologies and tools into the existing data ecosystem to improve data analytics and model development processes.

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 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