לוח משרות דרושים Data Scientist משרה מלאה

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities:

Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
Design and develop NLP models for tasks such as Named Entity Recognition, Classification, Text Similarity, Clustering and other tasks.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
Analyze large and complex data sets, applying mathematical theories and statistical methods, to produce actionable insights.
Stay current with emerging trends in data science and statistics and evaluate their applicability to business problems.
**It is possible to work from the offices in Ramat Gan and Ashkelon**

the most advanced intrinsic in-game ad solution for mobile, PC, console, and the metaverse. in-game ads put players first and help advertisers reach audiences programmatically in a non-disruptive and highly engaging way. A patented 3D ad tracking engine, the first to bring viewability measurement in-game with Oracle Moat and IAS, partnerships with trusted AdTech vendors, and compliant with the industry measurement standards outlined by the MRC and IAB make the preferred in-game advertising partner for brands and agencies worldwide.

helps game developers monetize their titles with ad placements that complement the gameplay, and by monetizing the entire game session, they benefit from consistent and reliable revenue streams. Supporting all major and custom built game engines, and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures and many other prominent investors, is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

Were looking for a Data Scientist with excellent analytical skills to join our data team and take part in the development of next-generation data platform.

Implement data cleaning and preprocessing techniques to ensure the integrity of data
Develop predictive models for bidfloor optimization, bidding strategies, pacing management, and more
Write and improve queries to build our reporting pipeline
Analyze time-series data to identify trends, seasonality, and anomalies, enabling proactive decision-making and improving our time-series machine-learning models
Create and maintain data pipelines for ingesting, cleaning, and transforming large volumes of data
Learn, work, and gain confidence with big-data and engineering technologies (Druid, BigQuery, Airflow, Kafka, etc.)
Read and apply academic research papers to explore and implement cutting-edge data science methods and technologies
Collaborate and assist in customizing analytical solutions with multiple teams to deliver insights and solutions using data
Work closely with the Infrastructure team to develop and release new features
Work closely with the business teams to resolve complex requests and come up with solutions using data
Build data pipelines and schedule jobs for our reports, models, ETLs, etc.

Join us as a data Scientist! Lead data science and Machine Learning activities.
Position Overview: Shape data science and ML s
Analyze unique time series data
Utilize classical ML and Deep Learning methods
Work with clinical, demographic, and external dataset!

We are hiring a Medical Data Specialist to join our Data team.
In this role youll get the opportunity to build image analysis models powered by AI, and do something that really matters to biology research and immune treatment.
Join our core team of med students and biology majors to help define better treatment for cancer patients!
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 by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
W believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.
Position Overview:
In charge of annotating samples from diverse pathology slides incl. H&E, IHC, Multiplex assays.
Working closely with the scientific & algorithmic teams to reach the utmost image analysis accuracy.
Participate and lead conversations with leading pathologists.
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.
We are open to creativity and welcome innovative ideas and implement best practices.
Be a part of a fast-growing startup backed by top VCs.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.

We are looking for a data scientist with proven hands-on skills to join the team and build high-performing, scalable applications that turn time-series telemetry into data products. You will collaborate with great people from multiple disciplines to create innovative digital products and integrate them within the Sensing-as-a-Service cloud platform.
Responsibilities:
Rapidly experiment and build models to clean signals and provide valuable insights to our customers.
Design algorithms and SW solutions, considering large scale, high availability, security, robustness, performance, and cloud aspects.
Work hands-on with the data using SQL, PySpark, and other tools to extract, analyze, and visualize data.
Understand and oversee all phases of the development life cycle, such as Automation, CI\CD, TDD, Integrations, Builds, and Deployment.
Work with cross-functional stakeholders such as product management, marketing, and SW engineering.
Make strategic recommendations on data collection, integration, and retention requirements incorporating business best practices.

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

Our fantastic team at OSR is expanding to meet the growing demand of our customers and we are interested in welcoming a Data Scientist to join our team, and to design and develop proprietary AI models for OSR's industry-leading OEM customers.

We are looking for a Decision Scientist to join our team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results-oriented, 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:
Designing data-driven products and algorithms within the companys core acquisition engine and deploying them end-to-end.
Hypothesize theories and prove them in production within hours (instant data gratification!).
Bring huge and immediate impact by beating the market and directly affecting the companys financial performance.
Work with fellow Data Scientists, Researchers, BI to help prove/disprove theories and dive into the root cause of anomalies.
Enjoy a high level of autonomy in a fast-paced business and work environment within an organization in the hyper-growth stage.
Collaborate with a team of A-player researchers and engineers to solve complex data and market problems.

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 building cutting edge recommender systems powered by the latest ML, NLP, LLM and AI techniques. We are looking for an AI leader and innovator who can lead a team of applied researchers and engineers, hire top talent when necessary, as well as get systems into production scale. The candidate will work closely with leaders and other teams from our globally distributed Recommendations organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized recommendation user experiences.

This is an opportunity to:
Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering
Drive personalization strategy for recommendations and influence look and feel of the homepage
Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve
Work with unique and large data sets of unstructured multimodal data representing vast and varied inventory, and millions of users
Develop and deploy state of the art AI models
Deploy big data technology and large scale data pipelines
Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

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.