Position: Data Science Senior/Tech Lead for global product (audit and assurance company)
Company: Deloitte
Experience required: 3y
English level: upper

**About our project:**

A web-based tool for quick benchmarking of companies that allows getting a company's description formed by means of AI/ML, based on the information from websites. Stack: Python, Angular, FastApi, Transformers, MongoDB, PostgreSQL

A platform allows users to get regular updates based on the topics of interest and recommendations. Stack: Java, Angular, Python, AWS, Transformers, Spark, PostgreSQL


**Requirements:** 
- Education: Bachelor’s degree (IT/Software Engineering/Mathematics)
**Must have:**
·	Work experience: 3+ years
·	Strong expertise in:
-	Python
-	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)
-	Deep learning frameworks like PyTorch and Tensorflow
-	Computer Vision / Natural Language Processing experience
-	Recommendation Systems experience
-	Machine Learning for Big Data, PySpark
·	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


**Good to have:** 
·	Hackathons/Kaggle experience 
·	DataRobot, Chatterbox Labs, Google ML, Ludwig
·	Working with sensitive data
·	Desirable Data Engineering skills
-	General knowledge of enterprise data architecture and data modeling
-	Relational database modeling including transactional systems and data warehousing
-	NoSQL databases e.g. MongoDB, Cassandra, Elasticsearch, Graph databases
-	Experience working with Unix command line and shell scripting
-	Cloud Architecture or Engineering experience with emphasis on data and analytics services
-	Relevant certifications in Microsoft Azure or AWS
-	Knowledge of deployment specifics of ML models in CI/CD
-	Hands-on experience with microservice architectures and containerization (e.g. Docker and Kubernetes)

**Personal skills:**
·	Passionate about technology
·	Eager learner of new technologies and systems
·	Written, verbal and interpersonal communication skills
·	Team player attitude

**Responsibilities:**
·	Bring new ideas in software development and participate in their implementation
·	Leverage industry knowledge and stay close to technology developments
·	Collaborate with cross-functional teams
·	Manage and grow a team of Junior and Middle Data Scientists