לוח משרות דרושים Data Scientist

We are looking for highly talented Data Scientists who is patinate about Computer Vision \ Image Processing to lead our research team. As part of the initial data science team recruitments, this role will have the opportunity to influence the research vision, goals, and culture significantly. This is a unique opportunity to take on a technical leadership role and be responsible for designing and delivering machine learning based algorithms Responsibilities As a team lead, you will responsible for research and development of core algorithms that fuels our products. This is an end-to-end responsibility, from an idea to a product. It includes: • Lead and mentor the team members and support their personal and technical growth • Work closely with product & align the data projects with organizational goals • Developing production-grade models. This includes research, defining measurable objectives, etc. • Collaborating with the engineering team to deliver high-value innovative product solutions that are based on the models • Monitoring productized models and updating them as necessary • Expand the team

As a data scientist , you will evaluate and improve the value of our products. By analyzing our customers behaviour and usage, you will find new ways for us to help them understand how their systems behave, triggering the development of new products that will change the landscape of how their systems are managed and operated.
Our vision holistically integrates data science and engineering, providing multiple opportunities to completely transform the industry, making both developers and business personnel happier and more efficient.
You will help us bring this vision to life.
Responsibilities
Perform complex research and analysis that includes data collection, processing, and result communication, in order to enable decision making and trigger development activities
Communicate with cross-functional teams inside and outside of the RnD, in order to understand requirements and tradeoffs, and collaboratively decide on future development
Proactively seek and research opportunities for new product directions that will augment platform offering towards the companys vision.

What youll do
Lead a cross-functional, end-to-end team of analysts, researchers and Python developers on their mission to prevent fraud.
Create features and strategies while owning the full cycle - from idea to production.
Own fraud and risk-related KPIs, define and monitor them, identify insights, draw conclusions and implement action items.
Adapt our systems, or build new ones, to support additional payment methods, verticals and expanding volumes.
Collaborate with other groups- R&D, Customer Success, Strategy and more.

The Product Analyst position is an amazing opportunity for an initiative, organized, responsible and highly skilled individual to join a successful company, where he can make a real impact by leading product analytics efforts - from defining strategy of quantitative research to extracting actionable insights from available data.
Day-to-day responsibilities and challenges.
Manage Product Analytics platforms - from defining overall approach & strategy to finding specific ways to measure success.
Work closely with Product Managers on defining success metrics & A/B tests of upcoming features.
Understand & analyze user journey - to find actionable insights that will define direction of product development.
Give tools to the Product team for day-to-day management of the whole suite of Simplex products - build dashboards, reports, create & maintain business alerts etc.

We are expanding our Artificial Intelligence center, and looking for outstanding AI researchers and data scientists to solve complex problems while directly contributing to enhancing homeland security.
As a data scientist working with us, you will have access to unique and highly specialized data sets with huge GPU clusters for training your Neural Networks.

Our fantastic team at 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're hiring an experienced Data Scientist to join our growing team of analytics experts in order to help & lead the build-out of our data science platform.
Joining the data organization means being among great and sharp minds who are also extreme data geeks who are working on creating data democratization around us using state of art tech stack, enjoying great partners to do so while generating value via the data platform...
The ideal candidate is a problem solver and a builder who enjoys optimizing ML solutions and also building them from the ground up.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of re-designing our companys ML architecture to support our next generation of products and data initiatives.
Key responsibilities include:
Own, maintain and evolve the company production ML models
Develop production-level, scalable, machine learning pipelines and models.
Collaborates with analytics, business teams, and data engineering and bring a proactive approach to handle anomalies and abnormal behavior within our DWH
Works closely with all business units and engineering teams to develop a strategy for long-term data science platform architecture.
Use your background in time series, predictive modeling, advanced statistical analysis, and machine learning practices and techniques to build new features/products.
Experience in taking part in data product development from initial exploration, technical design, implementation, and all the way to production deployment and maintenance.

We are looking for a Data Scientist to develop and utilize ML/DL techniques to identify complex phenomena in the automotive domain.
You will be transforming ideas into reality by working with other teams, throughout the entire software development lifecycle planning, design, research, development, and deployment.
You will participate (hands-on) in Big Data based projects (data ingestion, analysis, visualization, etc.) and directly impact Questars business by leading research projects and translating analysis into business recommendations.

Looking for an Experienced Application Engineer/team lead for our AI group to work on our cutting-edge multidisciplinary systems incorporating various technologies, including advanced SW and algorithmic concepts.
If you want to be part of a versatile team with a great atmosphere, driving change and bringing innovative technologies, and you see yourself as a leader that can execute tasks and handle challenges- this job is for you!
What your job will look like.
Lead a team of talented application engineers and QA.
Defining and writing application specifications, scenarios and definitions for R&D development.
Defining customer needs from the system, integrate new features to maximize customer satisfaction.
Working closely with varied R&D people: software, algorithm, architects and system Engineers.
Be capable of leading Alpha test in Local environment.
Leading Installation, Evaluation and Beta on customer side.
With frequent report to Products and RnD while ability to see the big picture/executive summary.
Ability to work under pressure.
Directly communicating with on-site engineers and customers.
Working in versatile and energetic team of application engineers.
מס' משרה 2215872.

The Customer acceptance team is a key contributor to our customers success. The team is responsible for fully qualify and on time delivery of Tools to Semi Con customers worldwide such as Intel, Samsung, TSMC and others.
The candidate will be responsible for:
● Qualifying tools according to customer specifications & requirements.
● Comprehensive data analysis & large data management Identify and resolve HW/Application issues while maintaining pre defined schedules that meets customers expectations.
מס' משרה 2215782.

We are looking for a Data Scientist.
Responsibilities:
Build and improve algorithms for detecting harmful activity and malicious content online.
Take an active part in production implementation.
Collaborate with product managers and intelligence analysts.
Take an active part in designing the companys Data Science vision.
Find the bad guys, take them down, feel proud, inspire your team to do the same.

Our company is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe that everyone should have the opportunity to prosper.
We never stop working to find new, innovative ways to make that possible.
Responsibilities:
Perform hands-on data analysis and modeling with big data sets in the security, risk and fraud domains
Build machine learning models (especially unsupervised) to help safeguard our digital property
Gain familiarity with existing API security methods
Gather data, perform statistical analysis, draw conclusions on the impact of your optimizations, and communicate results to peers and leaders
Lead and innovate AI projects in the Security, Fraud domain and Risk, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production

We are looking for an experienced, independent team player who has great computer science & data skills, a passion for data, and excellent analytical and algorithmic skills. The main target of this position is to enhance our operation capabilities, specifically in customer efficiency. The work requires an excellent understanding of data, searching insights in data, and constructing algorithms to learn from data, inferring conclusions, and creatively offering solutions based on data analysis. Our Data Science team is part of the R&D group, so you will work closely with engineers and product managers as well.
Responsibilities:
Developing data-driven products that are used to make operational and business decisions across the company.
Analyzing data for performance assessments and monitoring
Exploring and initiating services that are based on state-of-the-art technologies to serve our fast-growing needs.
A good understanding of machine learning algorithms is required, which may include classification, ranking, and reinforcement learning.

We are looking for a Data Scientist to join our R&D team. To become part of our journey in helping digital publishers and businesses improve their business growth, empowering meaningful interactions across their digital assets, generating an undeniable increase in revenue, user engagement, conversions, and overall performance.
Build the next generation of ML algorithms for Focusing primarily on recommendation engines, utilizing NLP and deep-learning techniques for performance optimization.
Lead the architectures research, modeling, design, and development to run at scale.