The Analytics organization at Earnix is charged with developing state of the art analytical and AI/ML solutions & algorithms that are embedded into Earnix suite of products. We are looking for a highly motivated Python wizard programmer to help us build innovative analytical applications.

Requirements

• A B.Sc. student in Computer Science/Statistics/Engineering or any related field
• High proficiency in Python coding including visualization packages and web applications using python (Dash)
• Acquaintance with CSS, HTML

Advantages:

• Acquaintance with machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering, etc..
• Experience with Web-development, AWS tools
• Familiarity with other software languages such as Java, JS

Additional skills:

• Fast learner & self-motivated
• Strong analytical capabilities
• Out of the box thinking
• English proficiency – both verbal & written

Our data science group is composed of exceptional MSc and Ph.D. graduates and experienced researchers, and is deeply committed to scientific excellence. We solve complex data-driven algorithmic and statistical modeling challenges from the very forefront of the health informatics research domain.

In this role, you will build game-changing medical ML solutions that will provide immediate medical help for millions of people around the world. You will have an end to end responsibility for your models – from ideation and research to full productization and monitoring.

You will be exploring new research avenues, lead diversitized projects, and make a significant impact on people’s health. You will be a key player in a multidisciplinary team consisting of Data Scientists, Analysts, Physicians, Developers, Product managers and more.

 This is a senior technical role requiring an MSc or PhD, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

Requirements

• M.Sc./PhD in STEM or related field with emphasis on ML / data science.
• 3+ years of industry experience implementing machine learning solutions.
• High expertise in Machine learning and statistical modeling
• Experience in formulating and solving complex research questions in the machine learning domain towards applicative solutions
• Strong background in Python.
• Experience in data analysis and visualization
• A positive attitude, curiosity and willingness to learn and teach.

Bonus points for

• Experience in computational health and/or medical informatics
• Experience in developing DL models
• Passion for medicine, health, wellbeing, and the desire to make a positive impact.

A top-notch data-driven company. Our Data Science group consists of ~50 people, of which there are 20+ data scientists and others (engineering, curation, and labeling) that help us make our projects successful and impactful for Wix. We apply SOTA Machine Learning techniques to Wix’s data to improve the product, internal processes, and personalisation for users, which in turn improves our profitability.

We’re looking for a Data Science team leader who’s passionate about data science, and specifically with time-series projects, to lead our Forecasting team.

We are looking for an extremely talented Data Scientist with at least 5 years of experience in data science, machine learning, and/or deep learning. You have a deep understanding of classical ML & DL algos for a wide spectrum of problems and domains and are familiar with time-series projects

You have the technical know-how to advise team members, the managerial skills to prioritize and advance projects, and the interpersonal skills to communicate data science to non-technical management. You also have a practical machine learning experience with Python. You’re willing to work hands-on, potentially working on your own projects while managing the team.

You have profound business acumen and are able to communicate model’s internals and externals to management, while also incorporating external feedback into the models.

At Quris Technologies Ltd. (TLV) we are developing the most advanced technology that will shape the future of drug discovery and clinical trials success prediction. In short, given a drug, we collect data from human cells and use it to predict clinical trial success. This is an opportunity to work closely with the top biologists at the edge of today's bio-tech.

Job Brief

We are seeking a sharp lead data scientist that will help us gain valuable insights from our proprietary data and shape with us the future of drug discovery and clinical trials success prediction.

You should have a strong statistical analysis capability as well as a solid understanding in Machine learning and Deep Learning.

This is a magnificent chance to join a leading technological company from an early stage and make a true impact.

Main Responsibilities

• Interpret and analyze data problems
• Build analytic systems and predictive models
• Experiment with new models and techniques
• Take part in building our AI infrastructure
• Test performance of data-driven products
• Visualize data and create reports
• Help define our product’s data collection procedures

Requirements

• Proven experience as a Data Scientist or similar role (5 years min)
• Solid understanding of machine learning and deep learning
• Solid understanding and experience in statistical analysis and predictive modeling
• Excellent Coding skills in Python
• Knowledge of R (advantage)
• Excellent communication skills
• MSc/PhD in Physics, Mathematics, Computer Science or similar field
• Ability to work as a strong contributing member of a small R&D team
• Gets things done attitude
• Ability to take it from research to production
• Fun to work with!

Big Advantage

• Experience working with sequential data
• Experience working with multi-modal data

About NCR

Helping retailers and consumers interact is what we do – and what we’ve done for 130 years. NCR’s portfolio of retail solutions enables seamless consumer interactions, whether in the store, on the go or at home. Our innovative solutions address retailer needs in multiple industries from grocery to general merchandise to convenience stores and specialty retail including POS software, hardware, kiosks, digital signage, self-checkout, services and more.

What are we looking for?
We are looking for an experienced Senior Data Scientist to join our fresh R&D team. If data and statistics are your breakfast, algorithms are your dinner, and you’re passionate about solving complicated real-world challenges, deliver impact, and investigating human phenomena – please reach out!

Responsibilities

• Derive insights from unique and challenging big retail datasets.
• Research, develop and integrate data science and machine learning algorithms in customer workflows.
• Conduct end-to-end applied research, from business understanding, through EDA to models designing, construction and deployment.
• Communicate outcomes intelligibly to stakeholders.
• Boost our evolving team with creativity, motivation and innovation.

Must have

• BSc in Computer Science / Mathematics / Electrical Engineering or equivalent quantitative academic field.
• 4+ years of programming experience in Python programming and SQL.
• 4+ years of machine learning hands-on experience.
• English fluency.

Nice to have

• Experience with the retail business – problems, needs and opportunities.
• Experience with software – algorithms, distributed computing (Spark/dask), open source projects experience, Docker, GIT.
• Experience with developing AI models on cloud environments (GCP / AWS / Azure).

What is the goal?

Tactile mobility is looking for a data scientist to join our advanced Algorithm team. You will solve real-world problems and have a direct impact on Tactile’s innovating core technology. You will be at the forefront of technology for providing smart & autonomous vehicles with the missing tactile sensing and data that makes vehicles smarter, roads better, and mobility-ecosystems enhanced using advanced machine learning approaches and the latest big-data technologies with unique data.

We are looking for a team lead to join our Applied Research group in Tel-Aviv.

The applied research group is responsible for algorithmic and machine learning solutions at the heart of Fabric’s product. Examples include task time estimation, resource allocation optimization, demand prediction, and pathfinding algorithms for a multi-robot system. The group is growing and is now looking for a team lead to join.

Job Overview

As a team lead, you will define the roadmap for a team of applied researchers, and lead its implementation. The team will consist of 2-6 researchers (depending on the candidate's managerial experience), delivering both analyses (projects whose outcome is an insight) and working software services in production. The team lead role is expected to be ~50% hands-on (but may vary, depending on managerial experience and the size of the team).

Responsibilities

● Define a roadmap for the team (working closely with the Product organization).

● Lead the team in executing its roadmap, delivering analysis results and working software services in production.

● Own the team’s working processes: sync with stakeholders, design reviews, code reviews, deployments, retrospectives.

● Mentor, guide, and motivate the team.

Requirements

● MSc or higher in CS, industrial engineering, or other relevant quantitative fields.

● At least 7 years of relevant experience in research, data science and algorithms development, and familiarity with a variety of tools within these disciplines.

● Experience as a team lead or a tech lead.

● Good software engineering skills and proficiency in Python.

● Excellent collaboration and communication skills, and ability to take part in diverse cross-functional teams.

About Us

XACT Robotics® is a privately held, early-stage company focused on the advancing the field of radiology by developing the world’s first and only hands-free robotic solutions that can significantly improve targeting accuracy, efficiency, and consistency in percutaneous radiology procedures.

At XACT, we embrace the philosophy of collaboration, tenacity, and extreme ownership. Our family culture empowers and inspires as we partner, develop, and execute meaningful technologies to make a difference in the lives of patients.  A career at XACT Robotics is more than a job, it’s personal.  Employees have passion, drive, and a winning spirit that allows for a fast-paced environment that is effective, empowering and fun.

Main Responsibilities

• Research, design, and implementation of Machine/Deep Learning models for Computer-Vision, Image-Processing, Time-Series and Medical data analysis.
• Design and implementation of data engineering pipelines and tools.
• Taking a leading part in deployment and integration of complex algorithms into working products.
• Become an active member of a multi-disciplinary R&D team and participate in cross-teams projects and activities.

Qualifications & Requirements

• BSc or MSc student in Exact Sciences (Focusing on Machine/Deep Learning)
• Hands-On experience with Python and its popular libraries (NumPy, Pandas, SciPy, Matplotlib)
• Familiarity with ML/DL frameworks (Scikit-Learn, TensorFlow, Keras, Pytorch)
• Collaborative and a Team player
• Willingness to improve peoples’ lives

Advantage:

• Experience with working on end-to-end DS projects
• Experience in Deep Learning
• Experience in Computer Vision / Image Processing
• Experience with working in the cloud (AWS/Azure/GCP)

We are seeking an enthusiastic, collaborative, and resourceful Senior Data Scientist to join our company. Here, you’ll design and run experiments, research new algorithms, find new ways of solving complex and ambiguous problems, and bring your solutions all the way to production. As a founding member of our data science organization, you will take our AI solutions from infancy to maturity, and take a key part in building a top-notch organization of data science professionals.

What you will be doing:

• Own DS processes end-to-end: from data collection, sanitizing, and preprocessing, through model training and development, all the way to deploying models to production.
• Designing and building ML pipelines infrastructure for production and research alike.
• Cooperate with the product, engineering, and various stakeholders to help set a research agenda that best serves our product and our customers at scale.
• Take a leading part in building our research program, help hire and train junior researchers, and help set the team’s culture and foundations for significant growth.

Qualifications:

• An advanced degree in a relevant academic domain, or equivalent experience.
• 4+ years of hands-on experience in applicative research, and in building and deploying ML/DL-based solutions.
• Proficiency in Python, ability, and motivation to write production-ready code.
• Strong communication, and collaboration skills.

Preferred Qualifications:

• Experience with one or more of the following domains: Computer Vision, Signal Processing, Time Series Analysis.

• Experience with one or more of the following technologies: TensorFlow, PyTorch, Scikit-learn, OpenCV.

• Experience in working closely with engineers and in an engineering-oriented context.