Position: Data Science Team Leader
Company: Intersog
Experience required: 5y
English level: upper

**Requirements:**

- 2+ years as Team Leader, working with Agile methodologies;
- 5+ years of industry and research experience in developing machine learning products;
- Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions, and methodology to both internal and external customers;
- Ability to frame business requirements into Machine Learning problems that you enjoy solving;
- A strong predilection for good software and the processes that make it;
- Mathematical foundation including linear algebra, vector calculus, probability, and statistics. Experience implementing this math effectively in software (e.g. Python, NumPy);
- Strong foundation in machine learning & deep learning concepts including supervised and unsupervised learning, transfer learning, ensembling, classification, regression, clustering, bias & variance, regularization, overfitting & underfitting, Logistic & Linear regressions, Decision Trees, MLP, RNNs;
- Strong foundation in natural language processing concepts including: bag-of-words & TF-IDF, n-grams, word & text embedding, NER, transformers, text classification & similarity;
- Proficiency in Python and PyData stack (NumPy, scipy, pandas, scikit-learn);
- Fluency with popular NLP libraries (spaCy, NLTK, transformers);
- Hands-on experience with Deep Learning frameworks such as PyTorch;
- Experience with SQL;
- Understanding of algorithm complexity and performance implications;
- Knowledge of classical data structures and algorithms;
- Upper-Intermediate level of English.

**Bonus Experience:**
- Degree in related field (Machine Learning, Data Science, Mathematics, Statistics, Computer Science);
- Familiarity with Knowledge Engineering, Graph technology, Knowledge Graphs, Graph Databases;
- Machine Learning on graphs;
- AWS, AWS SageMaker;
- Kaggle experience.


**Responsibilities:**
- Work closely with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context;
- Provide mentorship to other ML engineers and Data Scientists in the team;
- Be hands-on and involved with every stage of the ML product development cycle;
- Design, extend and review ML experiments and solutions;
- Evaluate, justify and communicate ML models’ performance to various stakeholders;
- Write clean and tested code that can be maintained and extended by other fellow ML engineers;
- Influence the Machine Learning development culture to be innovative;
- Establish and extend standards and best practice for ML engineering;
- Contribution to research activities in ML domain inside the company.

**We offer:**
- Competitive compensation based on your skills, experience, and customer satisfaction;
- Opportunity to work on challenging and exciting international projects;
- Flexible working hours and the possibility to work remotely when needed;
- Regular performance evaluation twice a year;
- Long-term contract with 20-25 paid time off working days (for vacation, sick, and personal leave);
- Corporate English courses from A1 to C1 level and monthly English-speaking clubs;
- Compensation of professional conference attendance according to the corporate policy;
- Compensation of medical insurance/gym according to the corporate policy;
- Casual, friendly, and family work environment, flat organizational structure;
- Regular knowledge sharing meetups and various corporate events (such as the company’s Birthday celebration and summer family party);
- Newborn and wedding bonuses;
- Gameroom with a lounge zone, PlayStation, and sports equipment;
- Travel and visa assistance for employees;