Senior Data Scientist, Poland

Surprise.com is on a mission to turn the magical, uplifting experience of Surprise into a daily, weekly, and monthly life event – because it makes people happy. Our Surprise Box, and delightful companion app, is the most exciting way to get amazing goodies from brands you love and brands you’re about to love. With daily games, the ability to send and get Surprises from friends, and Grand Surprises – every day is filled with wow!

We're now looking for an experienced and motivated analytics leader to join our data team – the backbone of our data-driven operations – and architect our internal data infrastructure. You'll partner with company leadership to implement and measure the impact of strategic projects and inform how our engineers build the next generation of data platforms. Our ideal candidate maintains a deep systems background and will use that competence to guide the team towards well-engineered and durable solutions.

Your internal customers will span every team at Surprise, and your leadership, talent, and commitment to technical excellence will make a tremendous impact day in and day out – if this challenge excites you, apply below.

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 are we 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

• Ultramodern offices in the heart of Warsaw;
• 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;
• Close collaboration between international team members;
• Corporate activities and parties;
• 20 Paid Time Off days, Public Holidays of Poland;
• And, of course, we use Surprise internally!