Lead Data Scientist, Spain

hace 1 semana

Madrid, España Surprise.com A tiempo completo

Surprise is looking for a technically strong, energetic, highly collaborative, and passionate Lead Data Scientist. You will lead and mentor a team of high performing data scientists, ML scientists and ML engineers and shape our growth strategy through empirical studies and experimentation. So, if you're ready to make a big impact in a fast-paced, rapid-growth environment, we want to hear from you

**What will you be doing?**:

- Leading a team of Data Scientist;
- Researching, designing, and implementing machine learning algorithms;
- Communicating results, technical constraints, and decisions to the business and non-specialists;
- Communicate and collaborate across teams to drive work forward;
- Delivering rapid prototypes and proof of concepts that demonstrate real value;
- Creating and delivering progress reports, slide decks, proposals, and documentation.
- Design and coordinate scalable and agile data science systems - from data capture to ML service.

**What are we looking for?**:

- A BS or higher in computer science or a related field;
- 6+ years of experience in software development;
- 5+ years of experience in Data Science;
- Experience in Leading a team of Data Scientists;
- Extensive knowledge of and practical experience in Machine Learning, Recommender Systems, NLP and other Applications of Algorithms;
- 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;
- Practical experience with the software development process, Agile approach, CRISP-DM, and CI/CD.
- Upper-Intermediate English or higher (B2+).

**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.);
- Applied statistics skills, such as distributions, hypothesis testing, regression analysis, etc.;
- Familiarity with Big Data frameworks;
- Experience with mining of structured, semi-structured, and unstructured data;
- Experience with Feature Stores for ML;
- Experience with data visualization and BI tools, such as Tableau, Plotly, etc.

**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 compensation package;
- Paid time off and Public Holidays;
- Close collaboration between international team members;
- And, of course, we use Surprise internally

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