Data Science & AI

• Ph.D. or Master's Degree in Computer Science or related field
• Practical experience and extensive knowledge in Applied Statistics and • Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
• Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that non-technical audience can easily understand
• Strong knowledge of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
• Expertise in more than one Data Science Specializations such as NLP, Time Series Analysis, CV, Recommender Systems, and others
• Understanding of Machine Learning operationalization processes
• Experience in working on complex projects where independent judgment is used within a broad range of defined procedures and practices
• Understanding the concept of Software Development Life Cycles of AI projects
• Upper-intermediate English level or higher

Experience with Machine Learning
Programming experience in Python/Matlab
AWS SageMaker - huge plus
Visualizations tools
Experience of 4+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Outstanding communication skills
Passion for data

MSc degree in Data Science, Statistics, Math, Physics, Engineering, or a similar relevant subject
3+ years of hands-on experience as Data Scientist
Experience in SQL, Python and spark
Statistical modeling experience, analytical skills and engineering skills
Ability to quickly learn new technologies, frameworks, and algorithms

● Master`s Degree or extensive knowledge in signal processing domains;
● 3+ years of algorithm development experience;
● 3+ year Computer Vision experience;
● Experience with Python;
● Experience with C++;
● Ability to work in a challenging, dynamic environment;
● Upper Intermediate level of English

• Work experience: 3+ years
• Strong expertise in:
• Machine Learning and Data Science
• Statistics (probability distribution, hypothesis testing)
• Classical ML algorithms (Linear Regression, Decision Trees, SVM, Clustering, etc.)
• MLOps (BentoML, Docker, Kubernetes, KubeFlow, KNative)
• Python (PyTorch or Tensor)
• General programming skills (OOP, OO design, MVC, Design patterns)
• Solid understanding of ML/DS processes (from data preparation to model deployment)
• Proven portfolio of successful projects
• Participation in team projects
• Good verbal and written communication English skills (Upper Intermediate level)
• Experience in data extraction, cleansing, and preparation for ML training and test data sets
• Experience in analysis of structured and unstructured / semi-structured data (e.g. raw text, json, xml)
• Statistical Analysis & Modelling experience
• Good knowledge of Predictive Modelling, Regression and Classification techniques
• Good knowledge of Deep learning tools and techniques
• Understanding and knowledge of Natural Language Processing (NLP) applications
• Any BigData platform knowledge and/or experience (Apache Spark, Hadoop, Hive etc)

3+ years of experience working with Python programming language and building production solutions using this language.
Deep understanding of conversational AI (i.e., chatbots, virtual assistants, OCR), natural language processing (NLP) and the leading platforms for developing conversational AI solutions.
Expertise with data formats and protocols — REST, SOAP, JSON, XML, HTTP, FTP, AS2, EDI;
Experience with data sources such as MySQL or MS SQL servers;
Experience with Microsoft Bot Framework/Azure Bot Service, including Azure Cognitive Services such as LUIS, QnA Maker, etc;
Experience with OCR solutions
Experience working in Agile environment;
At least Upper-Intermediate English.

• MSc degree in Data Science, Statistics, Math, Physics, Engineering, or a similar relevant subject
• 3+ years of hands-on experience as Data Scientist
• Experience in SQL, Python and spark
• Statistical modeling experience, analytical skills and engineering skills
• Ability to quickly learn new technologies, frameworks, and algorithms

• Hands-on experience (3-6 years) developing machine learning solutions with Python for Unstructured Text Based Problems (NLP), including: ML problem analysis, Data preparation (Exploratory Data Analysis) & transformation, Feature analysis & selection, Topic Modelling & NER (Named Entity Recognition), ML model selection using parameter tuning, Model result analysis and presentation, Transfer Learning, Developing custom ML Model based on requirement
• Good knowledge of machine learning libraries (like Scikit-learn, NLTK, spacy etc.)
• Strong programming knowledge in Python, Flask, NumPy, Pandas etc.
• Good knowledge in statistics and algorithms
• Experience in image recognition or OCR technology

• Masters degree with a minimum of 3 years of relevant experience in Computer Science, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Bioinformatics, Computational Biology or a related discipline is required.
• Ph.D degree with the relevant research experience is a big plus.
• Cheminformatics, drug discovery, or clinical development experience is a big plus.
• Strong working knowledge of machine learning algorithms such as Random Forest, SVM, neural networks, etc. and/or Natural Language Processing techniques is required.
• Proficiency with one or more programming languages such as Python, R, C++, or Java is required.
• Experience in web development, including UI and UX, is a plus.
• Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred.
• Ability to effectively communicate technical work to a wide audience is required.

C++
Python
Understanding of fundamental algorithms (sorting, binary search, statistics etc.) and data structures (array, linked list, stack, queue, tree, heap, hash table, graph) in computer science
Knowledge of object-oriented programming principles (encapsulation, inheritance, polymorphism, SOLID principles)
Knowledge of common signal processing and filtering algorithms (FFT, bandpass filter, median filter, smoothing etc.)
Expertise in optimization/improvement of algorithms performance
Expertise in parallelizing of computational algorithms (Python multiprocessing, C/C++ multi-threading)
Expertise in distributed parallel computation frameworks (e.g. PySpark)
Experience in embedding Python programs to C/C++ code
Understanding of Python object serialization (pickle files)
English: B2 Upper-Intermediate