About Dathena Science
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information.
We are looking for a Data Scientist with more than 5 years experience, that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Ph.D in related fields will be an advantage.
Your primary focus will be in applying data mining, machine learning, deep learning, computer vision and natural language processing techniques, doing statistical analysis , and building high quality predictionsystems integrated with our products by improving and extending the features used by our existing models, by developing internal testing procedures , and enhancing our system for automated fraud detection.
While it is essential that the Data Scientist brings efficient and effective behavior to increase the productivity of the organization, is it also critical that the intern retain the creative spark that drives Dathena’s vision and values.
Data mining and text/images preprocessing using state-of-the-art methods
Building and optimizing classification models by using machine learning/deep learning techniques
Images preprocessing, denoising and scaling problems solving
Transfer learning techniques applying for sentiment analysis and entities recognition problem solution
Models interpretation by using text summarization and visualization approaches
Supervising and supporting a team of scientists
Skills & Qualifications
Masters or PhD in Computer Science, Engineering, Statistics or a similar field. PhD preferred
5+ years of working experience in Data Science area
Strong programing skills in Scala/Python/Apache Spark
Deep knowledge in NLP methods: Word2Vec/FastText, NER, Sentiment analysis
Excellent understanding of machine learning and deep learning techniques and algorithms, such as K-means, Decision Tree/Random Forest, CNN/RNN, GAN etc.
Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good knowledge in using query languages such as MySQL, Hive, Phoenix etc.
Exceptional Oral and Written Communication skills
The Data Scientist must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment.
Location : Lausanne, Switzerland, Dathena R&D Office
Dathena is a Cybersecurity and Data Governance Startup based in Switzerland, Singapore and Paris. We work in close partnership with PwC, Google and NVIDIA. We are looking for 3 motivated interns who will work with us and our partners to improve our leading technology in managing the risk of confidentiality of the Major banks and Fortune 500 clients and discover key insights on the data they have. You will be able to work on challenging research projects related to your field of interest and help us building and improving our products' prediction systems. We supervise master thesis or standard internships. If you have fun with us and you like working for a fast growing company, you will have the opportunity to apply to a permanent position after the internship in one of our office!
We are looking for a Data Scientist Intern that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.
Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products by improving and extending the features used by our existing classifier, by developing internal testing procedures, and enhancing our system for automated fraud detection.
While it is essential that the Data Scientist Intern brings efficient and effective behavior to increase the productivity of the organization, is it also critical that the intern retain the creative spark that drives Dathena’s vision and values.
This position requires to be patient and perseverant in order to discover issues with huge amounts of data, and resolve them by adding new features to an existing validation tool.
This is an iterative and on-going work.
Examples of topics:
Enhancing automated anomaly detection systems (Code and Play with NVIDIA GPUs and CPUs, for OCR, speech recognition, image matching, NLP, and more)
Clustering with Spark Streaming and Kafka
Anti phishing in blockchain application
Structured data processing and detection of cross-source relationships
Manage knowledge and facilitate its accessibility with natural interactions
Classification optimization and accuracy improvement through word embedding methods
Integration of hybrid approach for Entity Recognition methods
Pattern recognition and smart filtering
Graph-based methods for text summarization
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Creating automated anomaly detection systems and constant tracking of its performance
Skills & Qualifications
Excellent understanding of NLP, machine learning and deep learning techniques and algorithms
Good programming skills: Scala, Java, knowledge in using query languages such as SQL and NoSQL
Nice to have: Kafka, Spark-Streaming, HBase
Software engineering best practices: continuous integration with git, Jira, BitBucket
Fluent in English
Exceptional Oral and Written Communication Skills
Proactive and interested in the area of data security and governance. This temporary position may be converted into a full-time job.
The Data Scientist Intern will be part of a highly qualified and dynamic team where he will be able to learn and improve himself.
The Data Scientist Intern must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.
Location : Switzerland - Lausanne, R&D Office
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Customer and Partner satisfaction
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Fluent in English; French or German is a plus
Exceptional Oral and Written Communication Skills
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.