Data Scientist/Machine Learning Engineer Offline

Surprise.com is on a mission to make a positive impact on people, organizations, and communities. Our first product, Surprise for Teams, is the world’s first and only SuccessOS. Surprise for Teams makes it fun and irresistible to perform better, which creates a positive, long-lasting impact on people and their organizations.

What will you be doing?

Researching, designing, and implementing machine learning algorithms;

Communicating results, technical constraints, and decisions to the business and non-specialists;

Delivering rapid prototypes and proof of concepts that demonstrate real value;

Creating and delivering progress reports, slide decks, proposals, and documentation.

What we are looking for?

Upper-Intermediate English (B2) or higher;

A BS or higher in computer science or a related field;

4+ years of experience in software development;

2+ years of experience in Data Science;

Extensive knowledge of and practical experience in Machine Learning, Recommender Systems, and Algorithms;

Understanding of Machine Learning techniques like Linear Regression, Decision Trees, Collaborative Filtering, Anomaly Detection, etc.;

Practical experience with high-level programming language like Python and DS frameworks;

Proficiency in database query languages such as SQL;

Understanding of the ETL process;

Knowledge of Linear Algebra, Probability and Statistics, and Numerical methods;

Understanding of software development process, Agile approach, and CI/CD.

What skills will come in handy?

Experience building large-scale recommender engines (collaborative filtering, KNN, associative rule learning, custom similarity metrics, etc.);

Understanding of predictive analytics (time-series analysis and forecasting, survival and duration analysis, etc.);

Ability to apply graph analysis techniques for structural pattern recognition;

Applied statistics skills, such as distributions, hypothesis testing, regression analysis, etc.;

Experience building microservices and containerized applications (Docker, k8s);

Familiarity with Big Data frameworks — Hadoop, Spark Experience with Natural Language Processing NoSQL databases, such as MongoDB, Cassandra, HBase;

Experience with mining of structured, semi-structured, and unstructured data;

Experience with data visualization tools, such as Ggplot2, Plotly, Matplotlib.

Benefits

Work on interesting and challenging projects, while building a pioneering software category;

Great atmosphere, with the vibe and energy of a high-growth tech company;

Competitive salaries;

Option of equity;

Close collaboration between UA and US team members;

Ultramodern office in the heart of Lviv (Magnus) and Kyiv (Gulliver);

Flexible working hours;

Complimentary dinners (like Pizza Friday!);

English classes and an immersive English-speaking work environment (we have a lot of native speakers at the office).