Position: Data Scientist
Company: Vimmi
Experience required: 2y
Category: Data Science
English level: upper
Published: 2023-02-01T00:00:00+02:00

The company is implementing its mission with innovative, comprehensive built-for-video network architecture technologies that provide cloud-based video services and broadcast-quality delivery services across managed and unmanaged networks.

Requirements:

- Years of experience: at least 2 years of production experience;
- Familiarity with classical machine learning algorithms, including: decision trees and their ensembles (gradient boosted trees, random forest, etc), linear models (linear regression, logistic regression, svm), clustering methods (DBSCAN, K-Means, hierarchical clustering);
- Familiarity with statistics (notion of distribution, quantile, moments of distribution, hypothesis testing);
- Knowledge of Deep Learning algorithms in the sphere of NLP and CV (LSTM, Attention, Autoencoder, Transformer like architectures, CNN);
- Understanding of mathematical principles behind machine learning;
- Experience working with DBs, such as (SQL, Redis, Mongo, S3);
- Knowledge of Python and experience of writing REST-APIs using one of the following frameworks: FastAPI, Flask, Django.

Would be a plus:

- Familiarity with classical approaches to recommendations (collaborative filtering, distance-based recommendations);
- Familiarity with RL approaches to recommendations (bandits);
- Participation in Hackathons related to the Data Science sphere;
- Courses related to the Data Science sphere.

Responsibilities:

- Research and development of mathematical and statistical models for solving such problems as generative modeling and recommendation;
- Feature engineering;
- Serving the models in PROD;
- Statistics and analytics on big data to help businesses with coordination. 

What we offer:

- Career planning, regular performance review;
- Flexible bonus system;
- Paid leave days;
- Free medical insurance;
- Sports reimbursement according to Company HR Policies;
- English lessons, speaking club;
- The company provides support in maintenance of all documentation for private entrepreneur.