Avanan helps organisations secure their most attacked applications – their cloud email and collaboration platforms. With over 2,000 paying customers,

Avanan is one of the fastest-growing IT Security start-ups, leveraging novel machine learning technologies to block the most sophisticated hackers.

Our R&D center in Tel-Aviv (Sarona) is expanding, and we are looking for brilliant engineers that enjoy challenges, thrive in an exciting start-up environment and want to be part of an excellent team.

As a Senior Data Scientist, you will be responsible for developing and maintaining exciting security products utilizing advanced models for Avanan’s customers.

This is all done in a fast-paced, agile development cloud environment – handling tens of millions of transactions daily.

You will develop brand new algorithms and models, Improve existing machine learning solutions all serving large scale production real-time environment.

The domain you will tackle will involve cutting edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more,

All implemented with the latest AWS tools and managed services such as Aurora RDS, Athena, Kinesis, Kafka, SQS, Elastic Search, ElasticCache, and many more.

You will do research, facilitate data for model building, and develop high impact real-time components for online analysis.

Responsibilities:

•Build production-grade, large-scale machine learning models security products.

• Design and develop data-driven applications in an agile development environment

• Design and develop AI back-end solutions and APIs

Requirements:

• 5 + years of experience with practical, production-deployed machine learning services.

• Bachelor’s Degree in Computer Science or related field plus 8 years experience in software engineering

• Strong experience building machine learning models in Python

• Experience in and broad knowledge of relational databases and the ‘big data’ ecosystem and tools

• AWS experience – an advantage

Soluto is a service aiming to help users enjoy technology. Millions of customers use the service to learn new stuff or get help from our Experts. We want any interaction with our service to be as meaningful as possible for the customer, be it a notification they receive that helps them learn a new trick on their iPhone, or if they ask an Expert to visit them at home to help set up a new smart device. As the service evolves, we see a growing demand to apply data science practices throughout our product. We’re looking for an experienced data scientist to take part in leading this effort.

Responsibilities

• A-Z responsibility on Data Science projects, from research and modeling all the way to production deployment, testing and monitoring  
• Build and deploy conversational AI solutions 
• Create recommender systems based on Machine Learning models
• Design large scale models using various methods such as NLP methods, classification algorithms, and deep learning models
• Communicate findings to Product managers, developers, and other stakeholders
• Work closely with Product managers to identify and answer meaningful product questions that support decision-making
• Initiate and drive new data ideas to continually increase product quality

Qualifications

• B.Sc in a relevant technical field is a must. M.Sc. or Ph.D. in a relevant technical field – an advantage
• Experience with NLP is a must
• Extensive experience solving analytical problems using quantitative approaches
• Experience working on product development teams – an advantage
• A passion for empirical research and for answering hard questions with data
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Fluency with at least one scripting/programming language like Python / Scala / Perl / Java / Go/Ruby/PHP
• Good familiarity with relational databases and SQL
• Expert knowledge of analysis tools like R, Matlab, SAS, Octave or Python-Pandas

Description

DAGsHub is looking for a great Developer Advocate to join our early team. Community is at the heart of our mission and plays a critical role in our future.

DAGsHub is creating a home for data science collaboration – the field is rapidly developing, creating value and disrupting industries, and we are living in the Wild West. Now is the best time to create a place where data scientists can figure out how to work together.

As one of the first members of the team, you will have a central role in shaping the company, its culture, its future and its product.

Come help us engage and expand our community of data scientists and machine learning engineers, so that we can build the best tools for their workflow, and enable Open Source Data Science to flourish.

You will

Be part of the founding team – have a ton of impact on our vision, understanding the community's needs and prioritizing how it should be brought to life.

Take ownership, responsibility, and pride in building and leading a community of data professionals. Accelerate the adoption of DAGsHub within the data science and machine learning community.

Work on a wide variety of projects and tasks – no two days will be alike.

Create or initiate collaborative data science projects that are valuable to the community or do social good, and show off how and why to use DAGsHub.

Write great documentation, tutorials and blog posts, and give talks and lectures at events on a regular basis.

Communicate directly with the DAGsHub community to enable and support them, gather feedback and generate insights into what really matters to them.

Work with us to improve the product and its adoption – understand the users, prioritize features and bugs, spread the word, research tech and business trends, think ten steps in advance to where the product should be going and how it can get there faster.

Build relationships and partnerships with prominent researchers and organizations.

Qualifications – You are:

Curious and passionate about data science and MLOps – a tech geek at heart. You enjoy discussing data science technologies online.

A data scientist with 3+ years of industry experience working on data science in production OR A software developer with 3+ years of industry experience with subject matter expertise in data science.

An experienced public speaker.

Experienced in writing tutorials, docs, sample apps or other technical content and teaching about complex technical topics.

Outgoing, enjoy interacting with new people and creating new connections.

You have a growth mindset – our team really values learning and improving, and we seek out painful and inconvenient truths. It's OK not to know everything, if you're willing to put in the work to learn.

A fun person to work with! We are in this together for the long haul.

Bonus – You Have

Launched a developer brand or product and grown a thriving community.

Created or maintained an Open Source project.

Been a community leader, responsible for scaling a developer community.

Active social media accounts in a data science / machine learning context.

Used a variety of data science ML tools, frameworks and environments such as Jupyter, RStudio, Tensorboard, Shap, DVC, MLflow, FastAI.

Experience with programming languages other than Python such as SQL and R and other tools and systems community members are likely to use such as Docker, Linux and Bash.

About DAGsHub

At DAGsHub, we're building the next generation GitHub – for data scientists & machine learning engineers. We provide everything data science teams need to manage their projects and collaborate. We are transforming well established software practices into their natural equivalents in the data-science wild west, and creating new effective ways for data scientists to work together.

Our product helps people and teams discover data science experiments & projects, understand the thought process behind experiments, reproduce results and incorporate & review changes in code as well as data and models. We believe this is the way to create the most vibrant collaborative data science community in the world.

DAGsHub is a well-funded, high growth startup building tools for the Open Source Data Science community, with a fast-growing international community on the platform.

Working Location: Bangkok, Thailand

Full visa sponsorship and relocation assistance available for eligible candidates.

About Agoda

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

 In This Role, You’ll Get to

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference

What You’ll Need to Succeed

• 3+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You Have

• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
• Experience in NLP, image processing and/or recommendation systems
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA

 HiredScore brings AI into hiring using NLP and Machine Learning algorithms.
We make hiring more efficient and more fair using machine learning algorithms (and more).

We’re looking for a Machine Learning Engineer– Algorithms and Software Engineer to join our growing Data Science Team and to play a key role in building new and amazing data products and Algorithms, to help Bringing data science into Human Resources: Extract knowledge about people, companies and positions, understand data and build learning engines to match the right person to the right position. We are a lean, fast-paced, and entrepreneurial company. You will have the chance to expand the role, further develop your skills, and grow quickly with the company.
Requirements:

• 4+ years of experience in development and research of Machine Learning and/or NLP (Natural Language Processing) algorithms in the industry.
• 4+ years of experience in software development in the industry. (The position requires code writing in production-level quality)
• Strong coding skills using big data tools and languages (Python / Java / Hadoop / Spark / Mongo DB etc.)

People’s relationship with food is complicated and we’ve built a platform that simplifies it. Creators of the FoodPrint™, Nutrino uncovers the invisible connections between people and food to empower better nutritional decisions for better health outcomes. Whether it’s finding the foods that love you back, or finding the foods that balance your blood glucose, Nutrino (acquired by Medtronic), is revolutionizing the world of diabetes management.

Passionate, curious and inquisitive about Data and eager to lead a team of professionals?

We are currently seeking a Data Scientist Lead for our team.

What does the job require?

· Ph.D./M.Sc. in math, physics, engineering, computer science or an equivalent science degree

· 4+ years of experience in data scientist / algorithm development positions

· Proficiency in Machine Learning, Deep Learning, NLP, Image Recognition, Statistical Models, Control Algorithms. Must have exceptional skills in at least one of them

· Experience in leading a complex data science problem from ideation to production (or complex and vast academic works)

· Ability to professionally direct a highly skilled team of data scientists, manage the Data Science roadmap and lead research for future products

· Strong interpersonal skills and ability to successfully collaborate with talented and opinionated peers (Product, Dev, Quality, etc.) as part of the Nutrino’s team leaders’ group

Advantages:

· Track record of leading high performing data science teams

· Hands on experience in working on a medical/biological related project

· Experience with time-series problems

· Strong technical and programming skills, specifically working with big data technologies (ideally Spark)

· Proven experience turning research models into production-grade models

What’s unique about us?

* We have a start-up vibe with a corporate backing

* Our office spaces are in the heart of Tel Aviv

* We have an innovative, hand-selected team of professionals

* We are defining the field of personalized nutrition technology and Diabetes

Sparks AB is looking for a Senior NLP Data Scientist!

We're a well-funded company in the predictive analytics field working with top leading financial institutions.

We specialize in predicting global events around the world prior to their happening, using Artificial Intelligence and statistical models along with internal tools.

The Data Science team at Sparks AB combines cutting edge machine learning, Deep learning and NLP techniques with the company’s unique data assets to build accurate and reliable economical predictions.

We are seeking an experienced AI Engineer to join our team and solve challenging technical problems of extracting insights from texts.

You will work with colleagues in engineering and product to devise and deploy natural language processing algorithms for various purposes.

Responsibilities

• Joining a team of first-class data scientists in designing, building and maintaining ML and DL based solutions.
• Working with colleagues from various disciplines – R&D, Analysts, Product etc.
• Working daily with some of the hottest trends in today’s job market: machine/deep learning, big data analytics and cloud computing.

Requirements:

• At least 4 years of professional experience in AI development and research.
• Passion for AI and specifically deep learning.
• Experience with Neural networks, Deep learning and NLP tools such as Spacy, Theano, TensorFlow, Keras.
• Strong machine learning background and familiar with latest statistical modeling techniques applied to text, including wordsentence embeddings, LSTMs, RNNs.
• Experience implementing of machine learning models in common ML frameworks.
• Fluency with data analysis and programming in Python.
• Experience deploying training and evaluation tasks to cloud computing infrastructures (AWS, Azure, etc.) – an advantage.
• Curiosity to try out new ideas and tenacity to solve challenging problems.
• Comfortable working with real-world data that is oftentimes noisy, incomplete, or inconsistent.
• MS.c from a top University- a must, PhD- an advantage.

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 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.
• Responsible for both the scientific and the engineering of 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 a take lead part 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:

• 3 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills
• Theoretical background knowledge like from a relevant MSc or PHD
  (e.g. in Mathematics, Computer Science, Statistics, Physics)
• 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

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.
• All employees will be granted share options.
• We are passionate, solution-oriented people who are accountable to our actions.
• At INCRMNTAL, you should be ready to make decisions yourself. We say: “Don’t ask for permission –beg for forgiveness J”.
• 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.

Your role at Vim as a Senior Data Science: 

Vim is building a value-driven platform for aligning incentives and connecting patients with the best providers for their needs. We curate virtual networks of top providers, guide patients to our network through online booking, and empower providers to make the best decisions for their patients at the time of a referral.

We have unique access to health insurance and electronic health record data. Our goal is to use our unique access to this information to help our members and their providers improve the health of the populations we serve. You will be part of the team responsible to organize and transform this data into actionable insights that will help Vim members and providers.

What you will do:

• Create, build and implement state-of-the-art machine learning models to maximize conversion and optimize performance.
• Analyze and engineer large and varied amounts of data.
• Work on machine learning projects from start to finish: data exploration, feature engineering/definition, model building, performance evaluation and help in implementation.
• Implement advanced analytical methods (machine learning, statistical/mathematical modeling) on large amounts of medical data – work with all areas of modeling workflow and clearly present and communicate the findings.
• Collaborate with cross-functional stakeholders to understand their business needs and have the ability to formulate those needs and complete and present end-to-end analysis.

What we are looking for:

• BSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.).
• Minimum 3 years of relevant hands-on experience as a Data Scientist / Machine Learning professional.
• Experience in machine learning and predictive modeling, statistical tools, applied mathematics, analyzing data.
• Experience with Python and SQL programming language.
• Quick learner, independent, methodical, and detail-oriented.
• Team player, positive attitude, collaborative, good communication skills.
• Flexible, capable of making decisions in an ambiguous and changing environment.
• High level of verbal and written English.

Nice to have, but certainly not necessary:

• M.Sc or Ph.D. in Math, Statistics, Computer Science, Physics, or an equivalent field.
• Strong experience in building and deploying ML algorithms in a production environment.
• Experience in the healthcare domain and/or biomedical knowledge.

About us: We are headquartered in San Francisco, with R&D in Tel Aviv, and are backed by Sequoia, GreatPoint Ventures, Optum Ventures, and large BCBS payers. Our customers include health plans and physician-led healthcare systems.

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