Senior Data Scientist, Poland
Warsaw, Masovian Voivodeship, Poland
Applications have closed
Surprise.com
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Cassandra CI/CD Computer Science Data visualization Docker ETL ggplot2 Hadoop HBase Linear algebra Machine Learning Matplotlib Microservices MongoDB NLP NoSQL Plotly Python Recommender systems Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Big Data Engineer jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs