Data Scientist
Data Scientist
Data Scientist
We are seeking a researcher for a key position in our data science and algorithms team, with a significant opportunity to drive the next-generation technology of our company. Activities include rapid prototyping of solutions to data-driven problems using the most advanced deep learning techniques in both the domains of images and text and transferring the work to our live cloud-compute system. We have a direct-to-deploy mindset and the CI backend to support it and also publish articles and patents. Join our fast-paced team, including established research scientists, to build the next revolution in computational document processing.
Requirements
- B.sc. in Computer Science, Math, related fields, or relevant coursework – Must.
- A least 2 years of experience in a similar role – Must.
- Programming: Python – Must, C++ – nice to have.
- Experience with Deep Learning, NLP, or Computer Vision – Must.
- Linux fluency (scripting, command line), containerized deployment, AWS – preferred.
- Experience with collaborative coding, source control techniques, software project management – required. Git, CI/CD – preferred.
- Datastore and management: SQL – nice to have.
Data Scientist – Online Team
Our Research Team
- We are focused on bringing value to Riskified through the development of models and analytical solutions across domains. We use a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes: classic ML and deep learning, supervised and unsupervised, NLP, anomaly detection, graph theory, and more.
- We use the most cutting-edge solutions – from event driven (Kafka), to big data solutions (Spark), Cloud operations (Docker & Kubernetes), Workflow orchestration (Airflow & Argo) and Machine Learning Platforms (Databricks & Kubeflow), working in Python and R.
- We’re a friendly, fun and diverse team. We’re passionate about making data-driven decisions, being open-minded and creative, while communicating openly and honestly. We thrive in a continuous learning culture to promote growth and remain at the forefront of technological innovation.
About the Role
The Online team’s focus is to research and develop cross-product, generic ML solutions, with emphasis on low technical debt. Working with diverse methods such as deep learning, graphs, NLP and big data, our goal is to develop great packages and services that can help all Riskified’s products.
We are looking for a full-stack Data Scientist / ML Engineer, with a strong background both in statistical modelling and writing production code. Experience with Spark and/or MLOps methodologies is a big advantage.
What You'll Be Doing
- Investigate new tools and technologies that accelerate research
- Build new algorithms to be used across the department
- Work with Product and Engineering teams to implement our solutions in production
Qualifications
- 2+ years of experience as a data scientist or machine learning engineer in the industry
- Msc in exact sciences
- Ability to write clean and concise code, ideally in R and Python
- Creative thinker with a proven ability to innovate through data exploration and application of advanced solutions
- Solid understanding of the modeling process and experienced with data science best-practices
- Dedication and persistence when it comes to monitoring and improving performance after deployment
- Good communication skills, ability to clearly explain complex concepts
Senior Data Scientist
Who You Are & What You'll Do
As a data scientist team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:
-
C – level executives and VPs
- Data analysts
- DBA’s
- DevOps engineers
Requirements
Clinical Data Scientist
A leading innovative US healthcare company (F50) is looking for a Data Scientist with Clinical/Healthcare experience for its new Israeli Innovation Center in Tel Aviv.
Interested in making an impact and helping make healthcare better, more affordable, and more accessible? Then read on…
If you feel that you have the energy, passion and the skills to develop models that predict diseases years before they occur, and using massive amounts of data from more than 40M people excites you, come join us!
ABOUT YOU
- Ph.D./MSc in Data Science field, such as Biostatistics / Bioinformatics / Biomedical Engineering or similar
- Background in population health / clinical informatics, with an excellent understanding of statistics.
- 4+ years of Data Science/Machine Learning research experience in the healthcare industry
- Solid understanding of statistics and machine learning algorithms
- Excellent programming capabilities with python and experience with DS tools such as sci-kit-learn, pandas, NumPy, scipy, impala/Hadoop
- SQL – a must
- Big data experience (at a scales of >Million records) – an advantage
- Experience working with clinical data / EMR – a major plus
- Ability to communicate scientific data and analysis to non-scientists
- A quick, flexible curious mind, able to rapidly learn new fields and use data science and machine learning to improve decision making and workflows.
- Can-do attitude, problem solver, and team player
WHY SHOULD YOU JOIN?
- Working with us is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 80 million lives a year by delivering innovative solutions across the health continuum.
- This is an exceptional opportunity to do innovative at one of America's leading health benefits companies and a Fortune Top 50 company.
- You will work in an innovative startup environment with the support and resources of a Fortune 50 company.
- This is a fantastic opportunity to join an inspiring healthcare company that prioritizes data and to work with one of the biggest unique databases in the world.
- We offer you the opportunity to advance your career in an environment that supports work-life balance and continuous learning. Making a difference begins right here, where you come first.
HOW TO APPLY
We are committed to a short and effective recruiting process. We do not ask for CV. To jump-start the process, please send us a link to your social networking profile and a short intro with a few words about why you are qualified for this position. This helps speed up the process and lets us get to know you better.
After you apply you will hear back from us, even if we don't see a fit.
AI Data Scientist
About the job
Interested in making an impact and helping make healthcare better, cheaper, and more accessible?
Antem Israel is hiring!
If you feel that you have the energy, passion, and especially the skills to develop models that predict diseases years before they occur, using massive amounts of data from more than 40M people and more excite you, come join us!
ABOUT YOU
- You have a bachelor’s degree in a quantitative field such as Economics/Statistics/Mathematics/Computer Science/ Engineering or any other scientific related field
- Master’s Degree in a quantitative field – an advantage
- 2-4 Years of industry experience in the data-related role (data analysis, data science, research)
- Very strong data analysis skills, specifically tabular data and/or time series
- Solid understanding of statistics and machine learning algorithms
- Good coding capabilities with Python and DS libraries (scikit-learn, pandas, NumPy, scipy, impala/Hadoop – a plus)
- SQL – A must
- Deep learning algorithms experience (including Tensorflow/Pytorch) – a major advantage
- Must have the ability to communicate scientific data and analysis to non-scientists
- You have an all-can-do attitude, you are a problem solver and a team player
WHY SHOULD YOU JOIN?
- Working with us is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 80 million lives a year by delivering innovative solutions across the health continuum.
- This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 company.
- You will work in an innovative startup mindset with the support and resources of a Fortune 50 company.
- This is a fantastic opportunity to get into an inspiring healthcare company that treats data as first-class, and to work with one of the biggest unique Data Base in the world.
Data Scientist
Owlytics is an innovative start-up company in the digital-health field. Dedicated to improving the lives of all seniors and other at-risk populations, we use the predictive power of data analytics to aid the early detection and prevention of negative health events. Our personalized analytics platform provides tailored care for seniors and support to their caregivers.
We are seeking an experienced developer to join the Data Science team. The ideal candidate will strive to further develop their professional skills and grow within a cutting-edge start-up company.
Responsibilities:
- As a data scientist, you will own and be responsible for planning, executing and monitoring of real-life experiments and clinical trials, guide the collection of data and design solutions that will be deployed and impact people all around the world.
- Develop algorithms and data-driven solutions which maintain consistent data flow, data privacy, and anonymity compliance.
- Create end-to-end solutions from conception to implementation.
Requirements:
- Very high learning and experimental capabilities.
- 3+ years of industry experience as a python developer.
- Background in algorithm development and machine learning modeling and evaluation.
- Statistical and mathematical skills.
- Excellent communication and teamwork skills.
- BSc in computer science or other quantitative fields of study
Advantages:
- Experience with ML infrastructure (MLOps)
- Hands-on experience with Pytorch, Keras or Tensorflow
- Familiarity with temporal data, time-series modelling and signal processing.
- Familiarity with Big Data technologies (Spark, Hadoop, Apache Cassandra, etc.).
Data Scientist NLP Expert
About our company
What role are we seeking?
Description
Our team is looking for a brilliant and experienced data scientist to join our top talent team of and data scientists and leverage skills such as automatic knowledge-based understanding, entity recognition, and graph representations to the edge, by using NLP models such as state-of-the-art transformers to integrate diverse data sources, and ambitiously generating the world’s first multi-dimensional people-skills-jobs space. Lead and conduct research and production-grade implementation of novel technologies working alongside a multi-disciplinary team of software engineers and product specialists, Ph.D. and M.Sc. backgrounds, and many years of domain experience.
Requirements
- At least MSc in Computer Science or equivalent
- At least three years of experience as a researcher
- Experience in deep neural networks, especially in transformer architecture and graph embeddings
- Full working Proficiency with open source ML frameworks such as TensorFlow or PyTorch
- Python Master with a hands-on attitude
- Good interpersonal, problem-solving & logical reasoning skills
We are looking for a Team Leader to join our Machine Learning (ML) Research group.
Machine Learning Research at Vimeo is focused on unlocking opportunities for ML to make an impact, both to existing teams and products, as well as novel opportunities. We work with a wide selection of algorithms, to understand Users and Videos, based on various signals such as text, video and analytics.
In this role, you will lead a team to create an impact with ML from idea to production by developing the full cycle of Machine Learning models, in Computer vision, NLP and audio from research to production.
What you’ll do:
- Lead a team of researchers and engineers, provide mentoring and be responsible for professional growth.
- Work with product managers, to explore ML applications, and make the right connection between research and application to deliver value.
- Lead discovery and definition of goals and KPIs, for projects and team for the team.
- Overseeing a full cycle of algorithmic development for various tasks in fields of : Computer Vision, NLP and Audio.
- Perform literature research and evaluation of state of the art methods for various tasks in fields of : Computer Vision, NLP and Audio.
- Partner with relevant teams to deploy and apply research outcomes, as well as monitor KPIs and model performance in production.
- Create an environment where the team is constantly learning and teaching others on the state of the art AI technologies, and taking an active part in driving AI innovation across the organization.
Skills and knowledge you should possess:
- M.Sc or relevant industry experience with a focus on machine learning or related areas.
- At least 3 years experience in leading algorithmic teams, proven ability to hire and build teams.
- In-depth knowledge of deep learning with at least one of the following areas:
Natural Language Processing, Computer Vision, Recommendation Systems, Search, Personalization, Reinforcement Learning. - Strong understanding of the production aspects of machine learning models.
- Proven ability to set goals and Strong understanding and experience with Agile and OKRs methods.
- Good communication skills and ability to collaborate with global teams.
Bonus Points:
- Experience Video Analysis.
- Familiarity with experiment management platforms, KubeFlow, ClearML, etc.
About us:
Vimeo is the world’s leading all-in-one video software solution. Our platform enables any professional, team, and organization to unlock the power of video to create, collaborate and communicate. We proudly serve our growing community of over 200 million users — from creatives to entrepreneurs to the world’s largest companies.
Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.
Data Scientist
Pagaya is a financial technology company reshaping the asset management space using machine learning and big data analytics to manage institutional money. With a focus on fixed income and alternative credit, Pagaya offers a variety of discretionary funds to institutional investors including pension funds, insurance companies, and banks.
The company was founded in 2016 by seasoned finance and technology professionals with offices in New York and Tel Aviv.
The team manages over $3.2 billion in assets on behalf of institutional investors around the world. Pagaya just completed its financing rounds of over $100M led by a prominent sovereign wealth fund.
The Tel-Aviv site is located in Azrieli Sarona building.
We have data/research positions for all levels
Key Responsibilities:
- Design solutions for the company’s core mission using Data Science methodologies from various domains
- Take part in developing new cutting edge algorithms based on various Machine Learning techniques
- Work in a short life-cycle research and development environment
- Generate and test working hypotheses in unexplored territory
Requirements:
- Generally, we prioritize learning capability over experience, but if you have:
- Excellent programming skills in Python
- 5 years of experience in programming
- Courage to tackle hard problems
- Analytical capability to learn fast and grasp complicated concepts
- Background in data-science / research Additional qualifications
- Knowledge in data-science technologies, such as SageMaker, Dask / Spark, MLFlow / Trains, etc., Prefect / Luigi / AirFlow etc., DVC, sklearn, pyarrow, etc.
- Experience with distributed computing
- Experience with containers infrastructure, such as ECS / EKS
- Scientific BSc (preferably computer science)
