Position: Data Scientist
Company: Intersog
Experience required: 5y
English level: upper

**Requirements:**

- MS or higher in the following areas: Statistics and Mathematics;
- At least 3-5 years of professional industry experience, in addition to your academic experience;
- Outstanding quantitative analytical ability;
- In-depth knowledge of Statistics/Probability/Machine Learning;
- General Statistical concepts such as hypothesis testing, estimation, inference;
- Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering;
- Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction;
- Real-world experience with popular machine learning algorithms such as Random Forest, Boosting, SVMs;
- Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus;
- Strong programming experience in Python and one of the following: Scala/Java, R;
- Understanding of algorithm complexity and performance implications;
- Knowledge of data structures and algorithms;
- Good knowledge of Graph technology, Knowledge Graphs, Graph Databases and Ontologies;
- Experience with SQL;
- Upper-Intermediate level of English.


**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;
- Coffee, cookies, nuts, and dried fruits for a productive day;
- Friday brunches with fresh bakery;
- Yoga lessons;
- Secure bike storage (Odessa).