For team that "wraps" the bank's model developers, checks and gives recommendations for future work; We are looking for a creative worker with self-taught ability and charisma.
The work includes reading articles, analytic advisory, performing comprehensive tests (explainabilty, overfit test, calibration tests and stability) on the model and theoretical tests driving to conclusions for new methodological directions to the model developers like changing metrics, algorithms, encodings and so on.
The role is very open and enabling, but it also has a frontal part with the need to present and motivate the findings
Validation and research with regard to models for rating credit, collection, detection, prevention and investigation of fraud and embezzlement (anti-fraud), money laundering and models in the field of sales and marketing using mathematical / statistical / algorithmic tools, including reconstruction and development of models for the purpose of benchmarking (challenger models). The work is done vis a vis large databases and a variety of business information.
• Development of risk quantification methods and research in order to enhance the methodology
• Investigate the information used as input and in favor of calibrating the parameters for models
• Providing professional opinions and producing executive management reports
• Existence of intensive work interfaces with the bank's stakeholders, subsidiaries and branches abroad, the Supervisor of Banks, accountants and auditors,legal advisors leading consulting service providers in Israel and abroad and more.
• Master's degree in scientific degree – a significant advantage
• Experience working with large DBs and working with SQL – required
• Experience in developing models – required
• Python SAS R MATLAB – required
• written and ability to express at an advanced level
• Proficiency in English
Artbrain is a revolutionary company in the Arts Ecosystem.
We are transforming the art and collectibles market by creating a technology that matches collectors with the items they love. AKA a recommendation engine tailored for this amazing domain. But this is only the tip of the iceberg, and we are now working on our next suite of solutions.
We are looking for a junior ML engineer with great CS skills to join our ML team.
You should be an enthusiast ML developer that lives & breathes ML and is not held back by his software skills.
As a member of the team, you will be engaged in all of our algorithmic research and deployment, from nlp to RL. From day one you will get full responsibility for new projects with the guidance of our experienced team members. This will enable you to grow as fast as you can while getting all the help and mentorship you need.
M.Sc in ML
2+ years of experience in software development
Good mathematical foundations
We have five core values that will inform your experience at Artbrain.
We focus on creating a perfect match –
In every action we do and every decision we make, we focus on creating the ideal match between a collector and items relevant to them. We make sure that customers never miss items that interest them.
We have our clients’ success at heart –
At Artbrain, we are committed to the success of our clients. We are passionate about producing a technology that enables our clients to grow and improve their business.
We combine art with science –
We know that art needs science as much as science needs art, and this is what motivates us. We are inspired by every item we match, and we aspire to create a technology based on both logic and emotion.
We shoot for the moon –
We seek excellence, respect doers, and pursue the exceptional with everything we do. We dig deep into the technological and creative processes, and we only release our products when they fully meet our standards.
We seek growth through learning –
We are fortunate to have customers who are global domain experts, and we learn from each interaction with them. We believe that learning is the key to growth, and by working with these leading experts, we build better products.
The company employs a team of 40 people.
We are looking to hire an experienced Big Data developer / Data Scientist for the algorithm team.
The position will combine development from scratch in the field of big data , along with data science tasks in the field of NLP.
If you have passion for data, experience with Python, willing to be part of algorithm team – We can offer you great opportunity .
B.Sc/M.Sc in Computer Science, Mathematics, Engineering or related field
4+ years of programming experience with Python – must
Experience with building scalable, high-performance, data-oriented systems
Experience working with MongoDB and/or Cassandra
Experience working with Spark
Working with Data science libraries: Pandas, NumPy
Experience working with Scala
Experience in Data Science and Machine Learning techniques (NLP)
Deep Learning Expert Position
Upstream Security is looking for a Deep Learning Expert to participate in unique research related to the mobility domain.
Leveraging on top of troves of data from ongoing engagements with world's top vehicle manufacturers, we are working on a revolutionary data platform addressing high impact problems relating to predictive maintenance, car fleet management and more. All while, contributing to Upstream's innovative cybersecurity AI.
Working with data sources of various origins, we offer a great opportunity for professional growth, a genuine state-of-the-art problem domain and a high impact work environment.
As such, we are looking for a talented researcher, MSc (4+ years of industry experience) or PhD (2+ years), with a rich background in ML and (particularly) deep learning research, good communication skills and a demonstrable ability to translate real world problems to the mathematical domain.
Some of the subjects we're interested in:
* state-space embedding
* multivariate time series
* unsupervised / weakly supervised learning framework
* language models
* graph algorithms
Join our talented team and take a major role in one of today’s most interesting and sought-after industries.
About Upstream Security
Upstream Security is a cloud-based data platform purpose-built for connected vehicles and smart mobility services. Upstream’s platform fuses machine learning, data normalization and digital twin profiling technologies. The result is unparalleled cybersecurity, quality assurance, and predictive maintenance insights, readily available and seamlessly integrated into the customer cloud. Upstream is privately funded by Alliance Ventures (Renault, Nissan, Mitsubishi), Volvo Group, Hyundai, Nationwide Insurance, Salesforce Ventures, CRV, Glilot Capital Partners and Maniv Mobility.
Simplex provides an online fraud-free payment processing solution. Simplex enables merchants worldwide to accept diverse payment methods, including credit card deposits and purchases, with zero exposure to chargeback risk.
Simplex’s AI technology analyzes every transaction using proprietary, fully automated, machine-learning algorithms that eliminate fraud while increasing conversion. By combining advanced payment processing with state-of-the-art fraud prevention technology, Simplex allows Crypto merchants to introduce credit card purchasing to mainstream users worldwide.
We are looking for a data scientist to join our amazing team.
As a data scientist at Simplex, you’ll:
What you need to bring to the table:
Being a world leading group in the animal intelligence, we are looking for a data scientist that will help us to discover insights from the vast amounts of data our systems collect.
In this role you will utilize data mining techniques, doing statistical analysis, and building prediction models for the purpose of surfacing insights related to livestock and companion animal behavior.
We are looking for a highly analytical person, proficient in data analysis, math and statistics, and would like to work with our animal research scientists to achieve better understanding of the animals we monitor.
• B.Sc. or higher in bio-medicine, statistics, applied mathematics, or related discipline
• 2+ years of experience as a Data Scientist
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Strong Theoretical knowledge of Collaborative Filtering, k-Means, Spectral clustering
• Linear-Algebra – a must (LS, PCA, SVD)
• Knowledge of SQL and Python; familiarity with Matlab is an asset
• Strong programming skills
• Team player
We are looking for a Senior Data Scientist to join our group. We are looking for a person which can take full responsibility and lead projects in the team.
How your day to day will look like?
What should you bring with you?
Are you looking for an opportunity to challenge yourself?
At ZoomInfo our employees work hard to ‘define new possibles’, and they are driven by winning. ZoomInfo is a company that got to where it’s at today on the backs of heroic efforts, over the years, by our employees and we are looking for more people to contribute to those efforts. At our company you’ll see that collaboration is second nature, and you’ll be greeted by a team of incredibly smart, talented, and motivated individuals who will help you define your new best.
You’ll be presented with opportunities to both personally and professionally develop as you build your career. We believe that our employees love to work and love to work here, and that you will like coming to work because of the sense of accomplishment you get from being a part of what we’re building. You are a fit for our team if you refuse to lose, you seek challenges, and you love to win.
We welcome you to join our team of difference makers who are people working with a passion to win together.
We are looking for motivated, enthusiastic individual to join our data science team. The role is a blend of hands-on data science work, an eye for innovation, and an understanding of the markets in which we work.
The new Sr. NLP Data Scientist will be part of the NLP Data Science Team.
What you will do:
Apply your NLP expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work real-time with large amounts of data. Help us develop novel solutions, and unlock new directions. You’ll collaborate with product teams, mentor them on best practices for modern NLP, and keep the wider team informed on the state of the art. In addition, you will be in a strategic position to influence future roadmaps for NLP-driven products. You will engage with the research community via publications, workshops, and tutorials.
Who we are:
The data science group With access to countless data sources the group is the ultimate playground for the passionate data scientist. The group is focusing mainly on text processing tasks such as information extraction, data parsing, text classification, named entity recognition, coreference etc.
The group is currently under rebuilding and is expecting to grow significantly
Post-graduate or PhD in Computer Science, EE, or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field
3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry
Experience in building production ML models and understanding of inference challenges at scale
Good theoretical grounding in core machine learning concepts and techniques
Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints
Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.
Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch
Strong communication skills, both oral and written.
Excellent analytical, organizational, and time management skills.
Nice to haves:
Experience with large-scale systems and data, e.g. Hadoop, distributed systems
Publications in top conferences/journals such as EMNLP, ACL, COLING, TACL, CoNLL, NeurIPs, ICML, ICASSP, Interspeech
Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has helped companies achieve their most important objective: profitable growth. Backed by the world's most comprehensive B2B database, our platform puts sales, marketing and recruiting professionals in a position to identify, connect, and engage with qualified prospects. ZoomInfo offers unrivaled data and accuracy with contacts, companies, direct dials and professional movement. For more information on our intelligence solution, visit us at zoominfo.com
Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.
As a Lead Data Scientist, you’ll be leading an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.
Lead a team of top-notch data scientists and ML engineers
Collaborate with product management to understand company needs and devise possible solutions and models
Research, plan and implement custom data models and algorithms to apply to our unique data sets
Develop processes and tools to monitor and analyze model performance and data accuracy
Ph.D. or MSc in Computer Science, Statistics, Mathematics or other related field
5+ years of experience as a data scientist or similar role with a proven track record of implementing data science algorithms in commercial products
Experience leading data science teams or projects – a must
Experience with time-series data – an advantage
Experience with unsupervised and semi-supervised clustering algorithms – an advantage
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), the theories behind them and their real-world advantages/drawbacks
Great knowledge of, and hands-on experience with, Python and R
Practical experience with big data processing engines (such as Spark or Hadoop)
Experience with structured and unstructured data
Practical experience with relational and NoSQL databases
Excellent business understanding, problem-solving abilities, and organizational skills
Experience working with web behavior analytics, process mining or NLP – an advantage
Innovative and creative, you love to learn new things and find creative solutions to challenging problems
A natural leader, you are charismatic, responsible and accountable
You love to look at the big picture and help lead teams to successful outcomes
A great teammate, with excellent communication skills, who loves to collaborate with others
Agile, you adapt quickly to changes and thrive in a fast-paced environment
The Data Science Research Center in the university of Haifa is recruiting
In October 2019 the university opened a new Data Science Research Center, which has been very active in promoting data science (DS) at the university of Haifa (see https://dsrc.haifa.ac.il/).
The center is promoting two main goals, capitalizing on the unique advantages of the University of Haifa for DS research.
Goal 1: Promoting multidisciplinary research in DS
Researchers from the University of Haifa who are working in the DS area come from 14 different departments, emphasizing either core DS disciplines or application areas. The application areas present real-life challenges not yet addressed by DS that could also be the starting point for development of novel DS methods.
Goal 2: Promoting collaboration of academic researchers with industry and the public sector
The university of Haifa is going through major transformation with the planned opening of the new Namal campus in Haifa (the first campus in Israel to be in the center of a business, entrepreneurship, and entertainment district, and walking distance from a train station), and the opening of the Rakevel from the Lev Hamifratz train station to the Mountain Campus. The DS Center is planned to be part of a new School of Data Science located at the Namal campus.
The center is establishing a new DS Service Unit to broaden the support for researchers and strengthen connections with industry, and is looking to recruit people for the following positions:
1) Data Scientists – long-term (>= 5 years), part-time position possible too
– Advise researchers at the university on their data science projects
– Analyze data provided by researchers
– Consult/analyze on projects commissioned by companies or researchers outside the university
– Develop tutorials and workshops to advance data science knowledge across the university.
– Broad experience in data science
– Publications related to data science- PhD in Computer Science, Information System, Math or Statistics, or related areas (e.g., astrophysics, bioinformatics)
– Research experience in Machine Learning/AI research environment
– Teaching experience in data science is preferred
– Team player personality
– Good social skills
– Strong technical skills, good system and infrastructure understanding.
– Good organizational skills
– Ability to teach and convey concepts in data science to researchers in other disciplines
2) Chief Data Scientist – long-term (>= 5 years) position
– Support and advance data science research at the university of Haifa
– Promote activities to engage researchers in collaborative research in data science
– Advise researchers on their data science projects
– Supervise the data science service unit
– Help with planning and overseeing the education plans of the center
– Advise on data science grant programs
– Extensive experience in data science, and especially Machine Learning
– Publications related to data science- PhD in Computer Science (preferred), Math or Statistics
– Proven experience and record in a Machine Learning/AI research environment (for at least 5 years post the PhD diploma)
– Team player personality
– Good social skills
– Good organizational skills
– Ability to teach and convey concepts in data science to researchers in other disciplines
Interviews will start in July 2020.