We are looking for highly talented Data Scientists who specialize in Computer Vision Image Processing to join our R&D team.

Responsibilities

As a data scientist 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:

• Develop deep learning models – design and build architectures, training, evaluation and deployment
• Develop image processingcomputer vision algorithms
• Maintain and improve our research python package that provides DLML capabilities, image data handling and manipulation and more
• Research and review of academic papers related to our use case

Desired Skills & Experience

• Team player
• Strong programming skills
• Self-learning abilities
• BSc, MSc, or Phd in STEM field
• In-depth knowledge and hands-on experience in:
• Deep Learning
• Computer Vision
• Image Processing
• Experience with a major deep learning framework (PyTorch or TensorflowKeras)
• Experience with OpenCV and Numpy
• Experience deploying neural networks in cloud or edge devices – Advantage
• Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – Advantage
• Years of experience: 1-2 

• Location: Tel-Aviv
• Full-time position

We are looking for highly talented Data Scientists who specialize in Computer Vision Image Processing to join our R&D team.

Responsibilities

As a data scientist 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:

• Develop deep learning models – design and build architectures, training, evaluation and deployment
• Develop image processingcomputer vision algorithms
• Maintain and improve our research python package that provides DLML capabilities, image data handling and manipulation and more
• Research and review of academic papers related to our use case

Desired Skills & Experience

• Team player
• Strong programming skills
• Self-learning abilities
• BSc, MSc, or Phd in STEM field
• In-depth knowledge and hands-on experience in:
• Deep Learning
• Computer Vision
• Image Processing
• Experience with a major deep learning framework (PyTorch or TensorflowKeras)
• Experience with OpenCV and Numpy
• Experience deploying neural networks in cloud or edge devices – Advantage
• Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – Advantage
• Years of experience: 1-2 

Hello Heart is looking for a Data Scientist!

Hello Heart is a best in class solution that empowers people to understand and improve their heart health – the #1 cost factor for employers. The program is clinically based and targets people with high blood pressure. Each of our users receives a wireless blood pressure monitor and real-time personalized tips on their smartphone. It is easy to use and helps participants improve their heart health in a fun and engaging way. Hello Heart’s successful distribution model is B2B2C, selling to Fortune 500 employers. This allows us to reach a large audience and have impactful results.

Hello Heart is looking for a Data Scientist to join our amazing and growing data group. Our team develops state of the art prediction, classification and recommender system models to help our users manage, track and improve their health.

Areas of responsibility:

• Building Machine Learning pipelines into production collaboration with the engineering group.
• Developing novel algorithms and investigating new technologies that will actually save life!
• Work closely with the product and translate clinical researches into digital insights that will be used on a daily basis across the world.

The ideal candidate will be:

• An enthusiastic researcher, not afraid to explore new areas of research.
• A self-driven who shows ability to deliver on ambiguous projects with incomplete or dirty data
• Passionate about data and ML, love analyzing, mining and playing with data.

Qualifications:

• B.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – required.
• M.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – advantage.
• 2+ years of hands-on experience in implementing machine learning models in production using Python or R – required.
• Strong theoretical and practical background in a variety of machine learning techniques – required.
• Experience with standard deep learning frameworks: PyTorch / TensorFlow – an advantage.
• Specific experience in recommendation systems and / or time series modeling – an advantage.
• Experience with programming skills, e.g. Java, Scala, C# – an advantage.
• Experience in healthcare industry and working with clinical data / EMR – an advantage

We're Looking for a talented research student with proven experience in datascience for a part time position at Loris.ai

Loris is an AI company that develops products that help companies better handle their most difficult customer service interactions. Our real-time coaching software equips customer service teams with customer sentiment and live guidance, helping agents respond to requests more efficiently and effectively, improving agent productivity, company CSAT and customer LTV by preventing churn

You will be expected to work independently and be able to communicate your work process to data science team and project managers. Applying both cutting edge NLP techniques on our internal datasets and implementing algorithms from scratch after a brainstorming session

Main areas of research revolve around conversational AI: dialogue acts, intent classification, aspect based sentiment, topic modeling, question answering and much more

We develop models to monitor vehicle systems. We deal with very large datasets of non-linear, multi-modal, and non-stationary time series.  That means we are doing fascinating and challenging staff

In this role as a senior data scientist, you will:

1. Research, explore and apply novel approaches for anomaly detection, meta-learning, representation learning, evaluation methods, inference and predictions on large scale and complex time series data.
2. Conduct independent research which includes problem definition, research plan, experimental design, algorithm development, code implementation and robust comparison to available benchmarks.
3. Articulate your research to technical and non-technical audience.
4. Convert research outcomes to product, collaborating with ML engineers.
5. Write scientific papers and patents.

Must have requirements:

1. Advanced degree in computer science, physics, math, electrical engineering or similar (MSc or PhD).
2. Three years of proven experience in the data science domain (time spent as part of the PhD or post-doctoral counts as well).
3. Great coding skills in Python and relevant libraries.
4. Very good knowledge in machine learning theory and implementation.
5. Very good knowledge in deep learning theory and implementation (PytorchTensorflow).
6. Good knowledge in statistics (e.g. hypothesis testing)

Advantages:

1. Knowledge in anomaly detection
2. Knowledge in time series modeling approaches
3. Background in the automotive industry

We are looking for a highly motivated individual to join our data science team. If you are passionate about data with a business focus, have 2+ years of industrial experience as a data scientist, and willing to work in a young and dynamic team, please get in touch.

You will have full responsibility for the whole machine learning cycle – exploratory data analysis, model and train machine learning-based models, implement in production environments, etc.

Requirements:

• MSc degree in a quantitative field.
• 2+ years of industrial experience as a data scientist.
• Strong knowledge in Python.
• Hands-on experience in machine learning and deep learning models development (Time-series is a significant advantage).
• Strong knowledge of statistical and probability theory.

INCRMNTAL is searching for the best Data Scientist out there!

We are a new startup founded by successful serial entrepreneurs with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE.

Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922)

We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?”

We are a new startup, launched in summer of 2020, backed by strategic investors from around the world who believe in what we’re doing.

We have paying customers and a constant flow of interest from the press, investors and more large companies who want to join us.

Role Description:

As a Data Scientist your role will be to:

• Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
• Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization
• Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes.
• Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights

You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing.

Key Requirements:

• Min. 3 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills
• Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method)
• Excellent development skills (Python required, R or Scala a plus)
• Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
• Familiarity with digital marketing, advertising or analytics is a plus
• Extensive experience in the Time Series domain, working with small and large time series frames
• Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage
  (e.g. in Mathematics, Computer Science, Statistics, Physics)

Benefits of Joining INCRMNTAL:

• We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success.
• We have no set policies for time off or working hours. We respect one another to deliver the product, while treating each other as adults.
• Excellent and committed employees will be granted share options.
• We are passionate, solution-oriented people who are accountable to our actions.
• We place our customers first and aspire to build a valuable solution to measuring value.
• At INCRMNTAL, you should be ready to make decisions yourself. We say: “Don’t ask for permission – beg for forgiveness ”.
• We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us.

We are accepting applications regardless of any external factors. Everyone is welcome to apply.

About the job

We’re Ada, a brand interaction platform that empowers brands to live up to their promises and have more—and more valuable—interactions with the people who love them. Our AI-powered platform has automated over 3.5 billion brand interactions for the world’s fastest growing enterprises, including Zoom, Facebook, and Shopify. In May 2021, we raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and officially became a global unicorn with a $1.2B valuation!

The passion of our people and dedication to their craft continues to drive our dramatic global growth.

Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment. You can learn more about the founding of our company here .

We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

As Senior Machine Learning Scientist on our Machine Learning team, you will design, experiment, and deploy machine learning solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.

We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.

About You

• 3+ years (or equivalent) experience as a Data Scientist/Machine Learning Developer/Engineer
• Excellent understanding of ML. Preferably worked on NLP problems before but not required
• Experienced in designing and tracking efficient and thorough data science experimentsHighly skilled in Python and Pytorch
• Strong software and data engineering practices

Outcomes

• Become an owner of Ada’s machine learning architecture and lead the improvement and maintenance of our ML technologies
• Execute on our ambitious Machine Learning product roadmap through the implementation of features
• Review the team’s code and experiments, provide insightful feedback, and teach everyone something new
• Help identify areas of opportunity and innovation within our product

Benefits

• Competitive salary and generous stock option plan
• Unlimited vacation
• Wellness account
• Extended health coverage
• Dental/optical/travel insurance
• Life insurance
• Employee and family assistance plan

Perks

• Flexible work schedule
• Digital first, fully remote with WFH budget
• In-house social worker
• Paid parental leave for Canadian and U.S. residents
• Development opportunities

About Us

Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.

We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

Ada is an equal opportunity employer. In fact, diversity is what drives our success—it’s at the core of how we hire, communicate, and work. Like our platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

Data Science Group (DSG) is looking for talented Data Scientists to join our team!

We are an independent global AI Center of Excellence, offering rapid application development platforms for end-to-end AI-based solutions. Furthermore, DSG provides solutions for AI governance, AI versioning, AI monitoring, and AI performance management in research and production environments.

We are looking for a go-to person and brilliant data scientist who is independent, self-managed, enthusiastic with an analytical sparkle, and ambitious to join our team.

The successful candidate will take an essential part in our growing data science competency center.

Responsibilities:

• Take a core responsibility for our data science activities and address statistical, machine learning, and data mining problems within a wide scope (fraud detection, predictions, recommendations etc.).
• Work with business stakeholders to obtain an understanding of complex business problems and propose data-driven technical solutions.
• Conduct hands-on research, analyze and interpret data and algorithms problems.
• Track and identify the relevant state-of-the-art technologies, and incorporate them through research and proof of concept activities.
• Ensure strong commitment to milestones, quality, and deliverables.

Desired Skills & Experience:

• Master’s in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
• Minimum of 2 years of relevant industry experience – a must.
• Solid understanding of machine learning techniques and algorithms.
• Hands-on experience with Python and relevant data science packages.
• Experience with Deep Learning architectures and tools (TensorFlow, Keras, and/or PyTorch) – a plus
• Knowledge of production-grade software architecture and ML pipelines – a plus.
• Experience in time series forecasting or computer vision – an advantage.
• Experience with cloud environments (e.g. GCP, AWS, etc) – an advantage

‍

We are looking for an experienced deep-learning/machine-learning/computer-vision researcher to join our algorithms team.

Our algorithms team is responsible for developing algorithmic data-driven solutions, using ML/DL/statistical-analysis, to be applied in clinical trials, drug research and clinical practice.

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.
• Work with amazing people that share a passion for using technology as a tool to achieve great things.
• Work with a top notch team on complex vision and prediction problems.
• Be a part of a fast growing startup backed by top VCs.

Responsibilities 

• participate in research and development of state-of-the-art machine learning and deep learning algorithms to find novel digital biomarkers that predict patients’ response to new treatments.
• You will be working with clinical trial data as well as real world evidence, curated from leading medical institutions.
• You’ll be dealing with multiple data modalities such as: tissue sample (WSI), genomics, clinical data, and more.

Requirements

• At least 2 years developing machine learning algorithms
• At least 3 years of hands-on software/algorithms development experience
• Deep learning and/or computer vision background – Advantage
• Solid knowledge of statistical analysis methods – Advantage