Position: Data Scientist
Company: Vimmi
Experience required: 5y
English level: upper

Requirements:

∙ At least 4 years of hands-on experience in production environments;
∙ Solid expertise in machine learning algorithms, including decision trees, ensembles (e.g., gradient boosted trees, random forest), linear models (e.g., linear regression, logistic regression, SVM), and clustering methods (e.g., DBSCAN, K-Means, hierarchical clustering);
∙ Deep understanding of statistical principles, including distribution concepts, quantiles, moments of distribution, and hypothesis testing;
∙ Proven experience in developing recommendation systems using techniques like bandits, collaborative filtering, and distance-based recommendations;
∙ Strong grasp of the mathematical principles underlying machine learning;
∙ Proficiency in working with various databases, such as SQL, Redis, Mongo, and S3;
∙ Expertise in Python and developing REST-APIs using frameworks like FastAPI, Flask, or Django;
∙ Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana);
∙ Strong communication skills with the ability to explain complex concepts in a clear and concise manner to both technical and non-technical stakeholders;
∙ Goal-oriented, results-driven attitude, with a proven ability to solve complex problems and drive projects to successful completion;
∙ Systematic approach to work, including excellent organization, prioritization, and time management skills.

Will be plus:

∙ Experience with Deep Learning algorithms, particularly in the context of Natural Language Processing (NLP) and Computer Vision (CV), such as LSTM, Attention, Autoencoder, Transformer architectures, and CNN;
∙ Experience with cloud platforms and container orchestration services, such as AWS, Azure, or Kubernetes (K8s);
∙ Participation in hackathons or competitions related to the field of data science;
∙ Completion of advanced courses or certifications related to data science.

Responsibilities:

∙ Lead the research and development of mathematical and statistical models for generative modeling and recommendation systems;
∙ Develop and maintain a recommendation system for an eCommerce entertainment platform, enhancing the user experience through personalized video content and product recommendations;
∙ Design, develop, and maintain a conversational generative AI chat system to facilitate interactions between sellers and buyers, improving communication and boosting transaction efficiency;
∙ Develop and maintain a Generative AI solution for video eCommerce content, ensuring the creation of engaging and personalized video content for users;
∙ Perform feature engineering to improve the performance of machine learning models;
∙ Deploy and maintain machine learning models in production environments;
∙ Conduct comprehensive statistical analysis and data analytics on large datasets to support business decision-making;
∙ Develop innovative technical solutions for the data science product;
∙ Facilitate effective cross-team communication to ensure alignment with broader business objectives.

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 the maintenance of all documentation for private entrepreneurs.