Data Scientist

Experience: 3+ years
Remote, part-time

Domain:

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).