Data Scientist

I'm interested

Experience: 3+ years
Remote, part-time


  • Marketing Technology

A consulting company that provides analytics for data driven decisions. The project integrates world-class data science to improve customer engagement by:

  • analyzing Audience;
  • optimizing Pricing strategy;
  • making recommendations on Paywall strategy;
  • making recommendations on Content.

Product works for a big variety of industries:

  • Cable & Telecommunications;
  • eCommerce;
  • Financial;
  • Healthcare;
  • Media & Publishing;
  • Retail;
  • Sports;
  • and many more.

We are looking for an experienced Data Scientist. Based on the results of the interview and preferences of the candidate we will offer a suitable project.

Project Specifications:

  • DEV Technologies: Python, Golang;
  • Storage: ClickHouse, PostgreSQL, S3;
  • Infrastructure: AWS, Docker, GitHub, Jenkins;
  • Other: Azure Devops.

What we expect:

  • common knowledges: Machine Learning, NLP, recommender systems, data manipulations with big data, work with DWH;
  • OS: knowledges of Linux user, service manipulations, BASH scripting;
  • knowledges and skills in SQL and NoSQL (preferably Clickhouse, PostgreSQL, MongoDB);
  • development: Python, Keras, Pandas, NumPy, XGBoost, CatBoost, deploy models to prod with RESTful API for Flask;
  • English level: Intermediate or higher.

What you will do:

  • building models based on classical algorithms such as KNN, regression, decision trees etc.;
  • building and finetuning of neural networks models;
  • deployment models to production;
  • A/B testing, data analysis, interpretation and visualization;
  • research & reporting for business needs;
  • data quality control;
  • communication with the customer, understanding of the customer’s problems from a business perspective, decomposition of the problem/requirements for subtasks;
  • knowledge sharing and internal trainings;
  • mentoring.

Nice to have:

  • familiar with Docker, Jenkins (simple jobs and pipelines);
  • familiar with visualization & dashboarding;
  • familiar with Terraform;
  • have Golang knowledge/experience;
  • have certificates from Yandex or Google courses in Coursera (DS or Big Data Specializations);
  • familiar with ETL Tools: Spark, Apache Beam;
  • knowledges in AWS;
  • postgraduate student (have researcher’s diploma).


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