Senior Data Scientist, Poland

Surprise.com is a technology company on a mission to build the world’s first entertainment super app – combining videos, social, games, and shopping in a delightfully gamified, thoroughly enjoyable single app experience. We do this today for the same reason we began with on day one: to turn the magical, uplifting experience of Surprise into a daily, weekly, and monthly life event – because it makes people happy.

What we are doing has never been done before, and like any innovator, we face challenges on a daily basis that require top minds in their fields to break through. So, we have been steadily building an international team defined by courageous ideation, relentless drive for impact, and meritocratic leadership. We are asking you now to envision yourself as a valued member of our winning team, on this inspiring mission.

We're now looking for an experienced and motivated Data Scientist 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 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 statistical, machine learning and optimization solutions to tackle a diverse set of business challenges, spanning from recommendation systems to predictive analytics;
• Performing in-depth analysis of data to uncover trends, discover and test hypotheses;
• Delivering rapid prototypes and proof of concepts that demonstrate real value;
• Creating and delivering progress reports, slide decks, proposals, and documentation;
• Communicating results, technical constraints, and decisions to the business and non-specialists.

What are we looking for?

• A BS or higher in computer science or a related field;
• 3+ years of experience in Data Science;
• Extensive knowledge and practical experience in at least one of the following areas: Machine Learning, Recommender Systems, A/B testing;
• Understanding of Machine Learning algorithms such as Linear Regression, Decision Trees, Neural Networks, Collaborative Filtering, 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;
• Experience in working with ambiguity, critical thinking and problem-solving capabilities both independently and collaboratively;
• Upper-Intermediate English (B2) or higher.

What skills will come in handy?

• Experience building large-scale recommender engines;
• Understanding of predictive analytics (supervised learning, time-series analysis and forecasting, survival analysis, etc.);
• Applied statistics skills, such as hypothesis testing, regression analysis, etc.;
• Experience building microservices and containerized applications (Docker, k8s);
• Experience working with large datasets, preferably in a Snowflake, Redshift or Spark environment (MLlib/ML);
• Experience with data visualization tools, such as Ggplot2, Plotly, Matplotlib;
• Experience with BI tools such as Tableau and QuickSight.

Benefits

• Work on interesting and challenging projects, while building a pioneering software category;
• Ultramodern offices in the heart of Warsaw;
• Health Benefit Package (LuxMed);
• 20 Paid Time Off days, Public Holidays of Poland;
• Competitive salaries;
• An immersive English-speaking work environment (we have a lot of native speakers at the office);
• Drinks and fresh fruit;
• Great atmosphere, with the vibe and energy of a high-growth tech company;
• Close collaboration between international team members;
• Corporate activities and parties;
• And, of course, we use Surprise internally!