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Data scientist

Superwise.ai

We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively. 

As a data scientist you’ll develop and optimize algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, anomaly detection, bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You will also take a critical part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.

Requirements

  • M.Sc in a relevant (STEM or related) field with 3-5 years of hands-on experience, ideally in early stage startups or deep tech companies. 
  • Deep knowledge of algorithms, statistics and ML concepts
  • Experience in solving a wide variety of ML tasks (classification, regression, ranking, clustering, anomaly detection, etc.) 
  • Combination of strong research & engineering skills. Proficient with Python and MLDL related packages (pandas, scikit, keras, tensorflow, etc.). Experienced in SQL
  • Analytical, creative thinker with problem-solving skills
  • Ability to perform fast algorithmic poc’s to test future features feasibility.  
  • Good communication skills, ability to clearly explain complex concepts both in writing and orally
  • Writing skills to communicate, explain and share methodologies and thought leadership content

Nice to have:

  • Vast experience in time series anomaly detection – an advantage.
  • Experience with ML explainability methods and strategies.
  • Experience with docker and kubernetes environments.
  • Experience with maintaining  ML models in production and improving performance after deployment
  • Content writing

ML CV developer

GV-Soft

For a new startup in the field of computer vision and deep learning, a ML computer-vision developer is needed to own the development of a robust end-to-end deep learning computer vision product.

Availability is required for about 50% capacity in the next 3-6 months.

We are looking for a person experienced with SOTA computer vision deep-learning architectures, who will implement the network architecture, training and evaluation. You will be expected to participate in research and design of all stages of development, including dataset creation and up to convergence, integrating hand-crafted features, overcoming domain-specific caveats on the way until successful delivery to production.

Requirements:

  • Experience with deep learning frameworks in Python.
  • Experience with computer vision objectives and related deep-learning architectures.
  • Advantage – experience in dataset generation and augmentation.
  • Advantage – experience with delivering deep learning products to successful production level.
  • Advantage – experience in working against the cloud (e.g. AWS, GCP).
  • Advantage – familiarity with classical image processing techniques.
  • Advantage – BSc or higher degree in computer science / math / related subject.

Data Engineer

Intelligo

About Us

Intelligo is a fast-growing startup with proven product-market fit and a steady revenue stream. We recently completed our Series B. We’re headquartered in Petach Tikva, Israel

Our mission is to empower trust and manage risk by providing institutional investors, investment banks, capital allocators, law firms, and corporations with advanced capabilities to run comprehensive background checks powered by cutting edge artificial intelligence and machine learning. Our ClarityTM product is a one-stop platform delivering quick checks, deep reports, and continuous monitoring with ease, speed, and accuracy.

The Role

We’re looking for a talented independent Data Engineer specializing in Python to join our growing data science team, that is responsible for the design and implementation of Intelligo’s revolutionary automated SaaS background-check solution.

The ideal person for this role is someone who is a self-starter, self-directed, and is comfortable supporting multiple production implementations for various use cases.
Things move fast at Intelligo and we’re looking for someone who can adapt quickly in our fast-paced startup environment.

What does the day to day look like?

  • The most accurate definition of this role is a blend of Data Engineering & Python development. It involves:
    • End to end infrastructure development of Python microservices
    • Optimizing process run-time and solving problems in a scalable manner
    • Taking a major part in designing and implementing complex high scale systems, data pipelines and algorithms using a variety of technologies
    • Working  closely with the Data-Science team, to define and implement an automated training pipeline for machine learning models.
  • Responsibilities
    • In charge of development and maintenance of data processing engine
    • Provide Data engineering capabilities and frameworks to other company teams

Experience we’re looking for:

  • BSc in Computer Science, a related technical field , or equivalent experience.
  • Deep understanding of Python
  • 4+ years of experience as a software developer
  • At least 3+ years experience with Python programming language
  • Experience with building scalable, high-performance, data-oriented production systems
  • Experience with:
    • Micro services architecture and communication architecture (MQ)
    • Cloud environments (AWS)
    • Mongo – Advantage
  • Familiarity with Big Data technologies such as Hadoop, Spark, HDFS, Airflow, HBase, etc. – Advantage

Technologies:

  • Python, Node-JS
  • Kubernetes, Docker, Jenkins, RabbitMQ, Redis
  • AWS (EC2, S3, Lambda, Streaming, EMR)

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 Engineer

Growerstech

TL;DR

Growers Tech is an innovative Agri-tech company that is powered by  ICL.

Everything we build is designed to empower the entire agricultural community to yield higher, better and faster – in a sustainable way.

Our goal is to lead the next agricultural revolution, by utilizing data and providing cutting-edge technology and solutions to tackle agriculture's biggest global challenges.

Bread and butter

  • Exploratory data analysis, data cleaning & processing – Perform data discoveries to understand data formats, source systems, file sizes, etc. and engage with business partners in this discovery process.
  • Building ETL solutions with a strong understanding of ETL concepts and the ability to apply those concepts broadly across multiple technologies.
  • Translating business requirements into actual solutions while maintaining a high level of accuracy and data integrity.
  • Contributing to the core design of data architecture, data models and schemas, and implementation plan.
  • Working with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment.

The checklist

  • 3-5 years in a data engineering position.
  • Demonstrated experience with multi-disciplinary teams & learning the science
  • Very good understanding of data modeling, ETL processes, BI practices and concepts.
  • Experience with programming in Python.
  • experience with AWS data stack –  EMR, Lambda, Athena , S3 ,Kinesis,CloudFormation.
  • Experience with building data pipelines and using technologies both AWS , code (AirFlow) and no code solutions (Talend).
  • Experience with relational SQL and NoSQL databases
  • Understanding of CI/CD concepts in production environment
  • Team player, highly motivated, can-do approach.

Nice to have

  • Experience with big data and ETL tools – Spark, Kafka, Hadoop, etc.
  • Experience with data integration such as – geospatial datasets/GIS ,Weather ,IoT, etc.
  • Experience with API & Data services.
  • Familiarity with ML data pipelines technologies.

The goods

  • Fast-growing startup, not too big to have fun and enjoy ourselves.
  • Located in Alon Tower TLV, near Hashalom train station.
  • Our perks – 10bis , happy hours , playstation ,gym membership and parking.
  • We believe in quality work while maintaining a work-home balance.
  • There is some agronomic geek stuff but it's all for the greater good 🙂

NSO, one of the world’s leading cyber companies, is looking for a talented and experienced Data Scientist.

The role offers the chance to deal with diverse problems and fascinating challenges in an extremely unique domain. You will have the chance to make a significant contribution to the development of our next generation Big Data intelligence solution, using cutting-edge technologies.

Requirements

  • At least 4 years of experience in a data science role with a solid understanding of ML algorithms.
  • Hands on experience in implementing Deep Learning algorithms (NLP or tabular data)
  • Experience with integrating ML models into production
  • Strong Python skills
  • MSc in Statistics / Mathematics / Computer Science / Software Engineering or equivalent

If you are a passionate and creative data scientist who treats problems as challenges, eager for doing magic with data and proficient at it – you are the perfect match for us!

BreezoMeter is looking for a Principal Data Scientist with the creativity, professionalism and passion to lead the development of innovative data driven environmental insights platform, that impacts the lives of millions of users around the world. In this position you’ll be working with exceptional people in a multidisciplinary team of engineers, scientistic and business experts to create inspiring data driven solutions that you can be proud of.

We Are Looking For People Who Are

  • Curious and enthusiastic to learn new things
  • Independent in their approach and learning
  • Team players
  • Thoughtful, positive and proactive
  • Flexible and possess a “can-do” attitude
  • Researchers in heart with strong mathematical and business intuitions

Responsibilities

  • Own the implementation of the big data ML based solutions end-to-end from proof of concept through to production operation
  • Identify opportunities for leveraging company data to assist building the company ML roadmap
  • Plan and lead innovation, exploration, design, and implementation of ML roadmap
  • Work closely across multiple R&D teams as well as other company stakeholders to influence product strategy and execute delivery of solutions
  • Hands-on development of custom data models and algorithms to apply to data sets using predictive modeling to improve customer experiences and optimize other business outcomes
  • Develop processes and tools to monitor, analyze and improve model performance and accuracy

Requirements

  • 5+ years of full-time experience in Data Science positions
  • Academic degree (Ph.D./M.Sc. preferred) in Computer Science / Math / Physics / Electrical Engineering or similar area
  • Exceptional at planning, setting expectations, defining goals and meeting commitments
  • Experience in leading data product development from proof of concept, rigorous design and implementation through to production of highly scalable, enterprise-class solutions
  • Hands-on and theoretical background in data mining, advanced statistical analysis and machine learning practices and techniques (clustering, decision tree learning, NN, etc), and their real-world advantages/drawbacks
  • Expert implementation skills in Python, SQL, and popular machine learning frameworks (scikit-learn, TensorFlow, keras, etc)
  • Familiarity with modern ML lifecycle management frameworks (e.g. MLFlow)
  • Proficiency with a variety of big data technologies, databases, data lakes, and data warehouses (preferably in the Google Cloud environment)
  • Experience in deploying machine learning products in live production environments
  • Independent self-starter and team player with excellent communication and interpersonal skills
  • Enjoys working in startups and fast paced environment

Job description:

We’re looking for talented Algorithm Engineer to help us develop innovative technologies for cancer diagnosis. In this role, you’ll work on huge, unique datasets of high-resolution pathology images from leading institutes worldwide, develop and optimize algorithmic solutions for complex problems using cutting-edge technology, integrate your algorithms into our products and receive feedback from clinicians using them in live clinical settings, and work closely with our multi-disciplinary team of Machine Learning experts, experienced software developers and medical professionals.

Requirements:

  • Experience with Machine Learning, Deep Learning and/or Computer
    Vision – an advantage
  • BSc in Computer Science or equivalent
  • Knowledge and experience in software and algorithm development
  • Proven industry experience, working on large-scale projects
  • Ability to design and develop production-level code
  • Strong programming skills in Python

Viber is a calling and messaging app that connects people–no matter who they are, or where they’re from. With a free and secure connection, hundreds of millions of users worldwide communicate with their loved ones through high-quality audio and video calls, messaging, and much more.

As a Data Scientist, you will be part of the Data Science Team, handling mostly recommendation systems all across the Viber app and deal with software engineering challenges associated with data science and machine learning in production. Your primary focus will be in applying machine learning techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. You will be prototyping, coding, serving and deploying ML models and putting research into production. Also, designing a data pipeline or building a scalable platform might be part of the job. We expect you to bring industry standards for data science and software engineering practices both in terms of hands-on, design, code and process and improve the quality of our recommendation systems.

This is a unique opportunity to join a fast-growing Data Science team and work closely with Senior Data Scientists and Data Engineers. You will develop and deploy scalable, high throughput production services, machine learning models, tackle challenges in the worlds of large-scale recommendation systems involving also NLP, ads, social networks and more.

Responsibilities

  • Implement solutions for large scale recommendation systems in big data environments from top to bottom, by research, design, coding, POC, developing and deploying machine learning processes
  • Design and apply cutting edge technology stacks in a high throughput environment
  • Design and implement advanced algorithms in the machine and deep learning frameworks

Requirements

  • 3+ years of experience as a Data Scientist in recommendation systems – Must
  • 3+ years of experience with Python
  • Hands-on machine learning and data science experience
  • Superb understanding and hands-on experience with recommendation systems techniques and algorithms
  • Excellent understanding of machine learning techniques and algorithms
  • Experience with large scale recommendation systems
  • Experience working in cloud environments, preferably AWS
  • M.Sc. in computer science or equivalent
  • Good analytical & problem-solving skills
  • Can work independently and have great communication skills

Advantages

  • 2+ years of Software Development
  • You can bring in some architecture skills
  • You have a backend development background (any language welcome here!)
  • M.Sc. in machine learning or recommendation system
  • Ph.D. in computer science or equivalent e.g., EE, statistics, math or physics

Data Scientist

Artlist

This is Artlist 🧑‍🎨

Artlist is a fast-growing music licensing platform for filmmakers. With tens of thousands of customers and outstanding growth, Artlist is helping filmmakers around the world achieve their creative freedom.

The Opportunity ♫

We are looking for an experienced Data scientist to join our data science team.

As a data scientist you’ll define, research, develop and deploy models – impacting artists and creators all over the world!

Working with us means training your model on diverse data created by the top filmmaker and musicians worldwide (you’ll love it!)

What you’ll do:

  • Build cutting edge models and data pipelines to develop valuable features for our users like
    • Recommendation systems empowering creators all over the world
    • Optimizing user journeys on our platform
    • Analyzing top quality labelled data
  • Write production grade code, served to our user audience
  • Understand the business and product needs and transform them into successful scientific and production ready solutions
  • Experiment with state of the art algorithms and tools on various data types (tabular, audio, video)

Requirements:

  • Minimum of 3 years of hand-on data science 
  • Extensive knowledge of ML disciplines and algorithms, with a focus on tabular methods (deep and classical ML)
  • Excellent programming skills in python, knowledge in SQL
  • Experience with recommendation systems – Big Plus
  • Software engineering background – Plus
  • Passionate about music & art – Plus

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