Imagene (Digital health) startup is looking for an outstanding Senior Data Scientist researcher

About Imagene

Imagene provides a disruptive AI-based genomic testing solution to assist cancer patients in

receiving the optimal treatment that medicine can offer by making genomic testing accessible and leverage their biopsy image for personalized therapeutic strategies.

About the position

Imagene is hiring an experienced data scientist researcher. As part of the initial data science team recruitments, he will have the opportunity to influence the research vision, goals, and culture significantly.

Imagene is working with some of the largest players in the health space, so he would

have the opportunity to impact many people's lives. This person must bring an established track record of successfully solving complex problems in the

computer vision field and a strong passion for Imagene’s mission.

Responsibilities

• Engage and implement cutting-edge AI technology in the field of unsupervised and semi supervised learning.

• Apply reinforcement learning for architecture and hyper-parameters search.

• Develop robust Generative Adversarial Networks.

• Keep track and implement the latest state-of-the-art deep learning research.

Qualifications

• 4+ Years of experience programming experience in Python.

• 4+ Years of experience in machine learning algorithms.

• 4+ Years of experience in computer vision algorithm development.

• 4+ Years of experience with the following frameworks: PyTorch, TensorFlow.

• 2+ Years of experience with unsupervised and semi-supervised deep learning models.

• proficient in detection, segmentation, and classification algorithms.

Industry- Health Tech, Computer Software

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary of Job

We use machine learning and deep learning algorithms to create models that solve challenging problems related to matching the best candidates to jobs and vice versa.

We're looking for a Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new or existing challenges. Coming up with new models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.

Key focuses:

• You'll be joining a team of data scientists and ML engineers working on interesting problems in the fields of recommendations, search and NLP.
• Work with big amounts of super interesting and diverse data collected throughout Zip employment marketplace.  
• Develop production-level, scalable, machine learning pipelines and models.
• Identify business opportunities in the domain of ML and communicate them to product.
• Contribute to the data science community at Zip.

Minimum Requirements:

• Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent
• Proficiency in Python programming language
• Background in machine learning, preferably in NLP related fields
• Familiarity with Deep Learning – an advantage
• Experience with Linux environment, AWS an advantage
• Team player with excellent communication skills
• Acting and thinking as an owner, with production environment in mind
• Fluent in English

Requirements

Requirements

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.
• 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
• 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.

Data Science Group (DSG) is scaling up and looking for an experienced Data Science Team Leader 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 for data science design review, methodology, and challenges. A brilliant leader 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:

• Lead a team of brilliant and multi-discipline data scientists to develop machine learning and data-driven solutions.
• 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.
• Recommend ongoing improvements to methods and algorithms that lead to new findings and deeper insights.
• Track and identify the relevant state of the art technologies, and incorporate them through research and proof of concept activities.
• Align data science projects with organizational goals.
• Be a source of technical knowledge and experience, facilitating, building, and mentoring great technical decisions.
• Ensure strong commitment to milestones, quality, and deliverables.

Desired Skills & Experience:

• Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
• Minimum of 3-4 years of relevant industry experience.
• Experience in leading small to medium size data science teams.
• Industry experience with Deep Learning architectures and tools (TensorFlow, Keras, and/or PyTorch).
• Strong knowledge of Python, with production-grade software architecture and ML pipelines.
• Experience with ML models deployment is a plus.
• Experience in machine learning and data science in the medical field is an advantage.

As a Data Scientist in Kenshoo, you will be a part of a large and innovative data science group, working closely with product managers and Dev teams, to create business value through Data Science and Machine Learning methods at the edge of technology. The Role consists of understanding customers and product requirements, identifying and defining functionality from conception to delivery, exploring data, ‘connecting the dots’, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations and more. Ultimately, your code will go all the way to production, with all the responsibility and satisfaction.

Requirements: 

• M.Sc. in Computer Science / Mathematics / Electrical Engineering / Physics or equivalent.
• 2+ years of significant hands-on data science experience, or PhD with extensive and relevant research experience.
• Strong programming skills in python. Ability to write clean and concise code.
• Comfortable diving into challenging, often open-ended problems.
• Strong communication skills, team player, fast learner.

Ideally, you have:

• Experience with modern NLP techniques.
• Experience with Time series modeling and analysis.
• Experience with Deep Learning, using Tensorflow/Keras/pyTorch.