Data Scientist (вакансія неактивна)

— Technical stack: SQL / Comprehensive knowledge of the Python data analyses ecosystem (Pandas, Numpy, Scikit-learn etc.);
— The ability to learn and find solutions to tasks;
— Strong knowledge in machine learning fundamentals i.e. linear models, decision trees, naïve bayes, clustering algorithms(k-means, DBSCAN, SOM), dimensionality reduction(PCA, t-SNE) and a good grasp of the strengths and weaknesses of specific approaches. Good foundation in basic statistics and linear algebra.

— Interesting and truly difficult research tasks in Data Analysis / Data Science.
— The feeling of making an impact on a booming IT industry.
— A powerful team of analysts, stakeholders, and developers to inspire you to constant professional growth and new accomplishments.

What we will do together:
— Find answers to challenges outside the confines of “basic analytics” and “simple” solutions.
— You will need to perform various tasks, such as:
1.Development of forecast models
2.Data segmentation and clustering
3.Work with outflow models
4.Developing methods for evaluating A/B tests and payer potential.
5.Designing a recommendation system for matching users on our product.
6.Some internal workings of IWIS

— We use common sense as our guiding principle in everything from taking days off to workflow.
— We dislike bureaucracy, give and take open feedback, and ask each other questions, even the stupid ones.
— We enjoy spending some of our free time together, both at the office and outside of it.