Data Scientist

Jobs Data Scientist Page 10

Customer Facing Data Scientist

Explorium

Explorium is a cutting-edge data science company that has recently closed a Series B round bringing their total funding to $50 million.

Explorium offers a first of its kind data science platform powered by augmented data discovery and feature engineering. By automatically connecting to thousands of external data sources and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquire the right data and enabling superior predictive power.

Job Description:

We are looking for an experienced, passionate data scientist to join our Client Facing Data Science team. In this consultative role, you’ll be relied on to interface directly with our clients and prospects, and guide them through data science initiatives from end to end. You’ll develop predictive models, discover hidden connections between client and external data sources, and communicate the insights to our clients. You’ll be exposed to a wide variety of clients across multiple industries (fintech, marketing, real estate, and more), and will be solving tough, real-world business problems using the latest ML models, feature selection algorithms, and MLOps technologies.

Responsibilities:

  • Present and demonstrate Explorium’s product to prospective clients – both technical and non-technical executives.
  • Design use case objectives and success criteria, with an understanding of our capabilities and client needs.
  • Develop data enrichment solutions and predictive models to address the business objectives of our clients, both during the proof-of-concept phase and as part of ongoing engagements.
  • Find and create bespoke data sources, leveraging web-scraping, API automation, and other creative approaches, and integrate them into Explorium’s codebase.

Requirements:

  • At least 2 years of experience as a Data Scientist or similar academic background.
  • Working knowledge in Python/Pandas/Scikit-learn (TensorFlow/PyTorch – Advantage).
  • Ability to do online data research on your own.
  • Analytical with problem-solving skills.
  • Commando / Hacker / Get it done mentality.
  • Comfortable presenting (both remote and face to face), and leading technical discussions.
  • Experience working with customers in pre/post-sales environment – Advantage.

Data Scientist

Diagnostic Robotics

Diagnostic Robotics is looking for a data scientist to research, implement and evaluate data solutions, machine learning models and experiments. The position includes working closely with leading researchers in the machine learning field, data engineers and clinicians (domain experts). In the data science group we work with millions of medical records including textual data, and build production-grade pipelines at scale. We build NLP deep learning models, classic ML models for tabular data and time-series models to represent a patient.

Duties and responsibilities

  • Research, develop healthcare models,  and evaluate them on large, complex data sets.
  • Building NLP deep learning models, classic ML models for tabular data and time-series models to represent a patient.
  • Building and developing robust, reliable, automated machine learning pipelines and design, build and launch new data models in production.
  • Work closely with physicians on medical datasets.‍

Experience

  • M.Sc. or PhD in Computer Science or related field
  • 3+ years of experience in research and building production-grade models
  • Applied experience with machine learning on large datasets
  • Strong knowledge in Python, including Pandas/ Numpy/ Sklearn/ Keras/ Tensorflow/ PyTorch
  • Highly experience with machine learning and deep learning models
  • Experience articulating and translating business questions and using statistical techniques and ML modeling to arrive at an answer using available data.
  • Experience in data analysis and visualizations
  • Effective written and verbal communication skills
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Familiarity with the medical domain will be a great advantage

Data Science Team Leader

PayPal

We are looking for an analytical, articulated and results-driven manager to join PayPal’s Global Data Science team in Tel Aviv.

The team builds horizontal data science infrastructures and solutions serving all data science teams in GDS, focusing on enabling complex insights from our data by leveraging unsupervised learning techniques including large scale clustering, anomaly detection and eccentric data representations. The teams portfolio combines high impact solutions and opportunities to enable new products through R&D.

These products aim to enable incremental lifts to all GDS models & use-cases by introducing advanced ML and big data analytical techniques, including Connected components, Louvain, GBT models, LSTM auto-encoders and time series algorithms aiming to extract insights from the data which are not available in their tabular and traditional format.

Data Scientist

Deeyook

Join our team at Deeyook where we are developing a patented-based firmware solution for accurate positioning that can work both indoor and outdoor.

Job Description: Development and improvement of algorithms for various complex challenges. Devising numerical analysis algorithms on our unique sensor data, and employing machine learning methodologies. Writing code in the Python environment.

Qualifications:

– M.Sc degree or higher in exact Sciences. Experience in scientific research is required.

– At least two years of work experience.

– Previous practice in both applying and researching models and algorithms.

– Background in Machine Learning and Data-Analysis.

– Experience in the fields of navigation, robotics or IoT.

– Experience with Big Data – advantage.

– Team player – Must!

Data Scientist

Big Panda

About the role:
We are looking for an experienced data scientist to be part of our DS team. You will:

  • Research, develop and deliver ML based solutions to solve real world business problems
  • Model and solve root cause analysis, alert noise reduction and event time prediction problems:
    • Work with time series, text and both structured and unstructured data
    • Use both supervised and unsupervised learning approaches
    • Develop models while keeping in mind model explainability
  • Work closely with  product team, ML engineers and other data scientists
  • Ownership of research projects from initiation and feature design, through gathering insights to implementing solutions and monitoring their performance

Medical AI Intern

GE

 

We are looking for a talented student actively interested in ML, who wants to join a small team helping transform the medical imaging industry from within. Our team is actively engaged with multiple products and challenges in and around the Ultrasound business at GE Healthcare.

Ultrasound is now the fastest growing segment in medical imaging, and GE Healthcare is driving a data driven smart application ecosystem to support it. Solutions developed in our team range from workflow enhancements to clinical decision support.

Most importantly, as part of the team you will gain experience working in all the stages of ML development from data curation through AI development to deployment. In addition, you will likely contribute to a product helping patients and care providers.

Requirements –

  • Advanced undergrad or graduate students in Computer Science, Electrical Engineering, Industrial Engineering or equivalent
  • Specialization in AI and or Computer Vision
  • A team player. Collaborative and communicative. Able to adapt to change.
  • Experience with Deep Learning frameworks, such as TensorFlow, Keras, or Pytorch, highly preferred
  • Background in medicine and the medical industry, an advantage

Data Scientist

Discount Bank

Discount DATA LAB is looking for a talented data-scientist.

Qualifications:
*Team-player, fast learner and delivery-oriented
*BA / Bsc degree in one of the following fields:
Mathematics, Physics, Computer Science, Statistics, Engineering, Economics or similar
*At least 2 years of practical experience in machine learning, data analysis or other algorithmic research
*Strong programming skills in Python (object oriented & functional programming)
*Excellent analytical and problem-solving skills
*Experience with modern NLP techniques – an advantage
*Hands-on experience building and deploying models – an advantage
*Working experience in large financial enterprises – an advantage

Senior Data Scientist

Convizit

Convizit’s AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.

As a Senior Data Scientist, you'll be joining an awesome multidisciplinary team of data scientists and machine learning engineers who are responsible for Convizit’s core technology. Our AI-based tracker, the most advanced user behavior tracker in existence, processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive and granular ever generated for user behavior analysis and insight generation.

We work on challenging problems in the fields of clustering, NLP, process mining and causality. We combine advanced machine learning techniques with simpler approaches and heuristics to solve problems that, until recently, were considered “unsolvable.” You will develop data-driven approaches and products that are changing the face of user behavior analytics.

The ideal candidate is an experienced ML researcher/data scientist who is passionate about problem-solving, with a strong theoretical background, familiarity with a variety of machine learning approaches/techniques and proven experience developing machine learning models and deploying them into production environments at scale.

What you’ll do:

  • Translate challenging problems into ML projects
  • Brainstorm with other data scientists and machine learning engineers to conduct hands-on research and identify the best approaches/solutions
  • Develop production-level code that runs, trains and maintains ML models at scale
  • Evolve and help others evolve professionally, through brainstorming sessions, joint work and mentoring
  • Work closely with software and data engineers on product integration

What you have:

  • M.Sc./Ph.D. in Computer Science or related fields
  • 5+ years of experience as a data scientist/ML engineer
  • Strong theoretical and practical background in a variety of machine learning techniques, including unsupervised learning and preferably NLP
  • Significant hands-on experience in Python, with the ability to write clean, efficient code
  • Experience with big data frameworks (e.g., Kafka, Spark, Hadoop)
  • Experience with cloud SaaS environments (e.g., AWS, Azure, GCP) – an advantage

Who you are:

  • Passionate about problem-solving, with a “can-do” mentality
  • Innovative and creative, you love to learn new things and find creative solutions to challenging problems
  • A great teammate, with excellent communication skills, who loves to collaborate with others
  • Persistent, responsible and accountable
  • You love to look at the big picture and help lead teams to successful outcomes
  • Comfortable working in a fast-paced, dynamic and collaborative environment

Senior Machine Learning Researcher

Convizit

Convizit’s AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.

As a senior machine learning researcher, you'll be joining an awesome multidisciplinary team of data scientists and machine learning engineers who are responsible for Convizit’s core technology. Our AI-based tracker, the most advanced user behavior tracker in existence, processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive and granular ever generated for user behavior analysis and insight generation.

We work on challenging problems in the fields of clustering, NLP, process mining and causality. We combine advanced machine learning techniques with simpler approaches and heuristics to solve problems that, until recently, were considered “unsolvable.” You will develop data-driven approaches and products that are changing the face of user behavior analytics.

The ideal candidate is an experienced ML researcher/data scientist who is passionate about problem-solving, with a strong theoretical background, familiarity with a variety of machine learning approaches/techniques and proven experience developing machine learning models and deploying them into production environments at scale.

What you’ll do:

  • Translate challenging problems into ML projects.
  • Brainstorm with other data scientists and machine learning engineers to conduct hands-on research and identify the best approaches/solutions.
  • Develop production-level code that runs, trains and maintains ML models at scale.
  • Evolve and help others evolve professionally, through brainstorming sessions, joint work and mentoring.
  • Work closely with software and data engineers on product integration.

What you have:

  • M.Sc./Ph.D. in Computer Science or related fields
  • 5+ years of experience as a data scientist/ML engineer
  • Strong theoretical and practical background in a variety of machine learning techniques, including unsupervised learning and preferably NLP
  • Significant hands-on experience in Python, with the ability to write clean, efficient code
  • Experience with big data frameworks (e.g., Kafka, Spark, Hadoop)
  • Experience with cloud SaaS environments (e.g., AWS, Azure, GCP) – an advantage

Who you are:

    • Passionate about problem-solving, with a “can-do” mentality
    • Innovative and creative, you love to learn new things and find creative solutions to challenging problems
    • A great teammate, with excellent communication skills, who loves to collaborate with others
    • Persistent, responsible and accountable
    • You love to look at the big picture and help lead teams to successful outcomes
    • Comfortable working in a fast-paced, dynamic and collaborative environment

Computer Vision Engineer

Grin

About us:

GRIN is an award-winning early stage start-up. It’s mission is to reduce the cost and complexity of dental-orthodontist care. And it is doing so with disruptive technology as well as first-of-it’s-kind market approach. Grin is building a multi-sided platform that gives users a radically convenient customer journey, and empowers doctors to deliver patient centric, responsible care for all types of smiles.

The algorithms team is using state-of-the-art algorithms to help the patient and the orthodent with the medical monitoring of the treatment process. This goes from real-time feedback for the quality of the teeth video scanning through offline video analysis and enhancement to heavy-lifting highly accurate 3D reconstruction of the teeth from a 2D video. The algorithms team is composed of top-notch researchers with multidisciplinary capabilities in the fields of computer vision, machine learning, deep learning, optimization and 3D reconstruction.

About you:

  • You are a highly motivated applied researcher who is eager to face new challenges.
  • You have a deep understanding of the various computer vision related algorithms and tools, specifically: machine & deep learning and 3D reconstruction.
  • You want to work in a dynamic team with highly experienced applied researchers.
  • You can execute all the algorithm research stages: idea/dream, literature review, data processing, research and evaluation, production and field testing.
  • You want to see your algorithm up and running in a global product and get feedback from the field.
  • You want to make people's lives better by having a great smile 🙂

If this fits your description, you belong with us!!

Requirements

  • Ph.D / M.Sc. Degree in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math or Physics.
  • 2+ years of experience in Computer Vision
  • Strong Python skills.
  • Strong foundation in theories underlying data science, 3D reconstruction, machine and deep learning.
  • Advantage: experience with PyTorch/Tensorflow
  • Ability to perform hands-on tasks with full-stack development.
  • Can-do attitude, willingness to learn new skills and take on new challenges to meet business goals.
  • Ability to work independently as well as in a team.
  • Excellent English language communication skills.
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