Data Scientist

We are looking to hire a results-driven Data Scientist with production-level ML experience and strong cloud skills to join our team.

Responsibilities:

• Deliver full-cycle machine learning solutions, including exploratory data analysis (EDA), model training and tuning, feature engineering, model validation and interpretation;

• Work with large-scale datasets in Databricks / Spark environments;

• Deploy models to production using MLflow / MLOps pipelines;

• Build dashboards and data visualizations (Power BI, Tableau);

• Operate in cloud-based environments (Azure, AWS, or GCP) using storage, pipelines, orchestration tools;

• Participate in client meetings, translate business problems into ML tasks, present and defend models;

• Maintain and retrain models as needed.

Requirements:

• 5+ years of experience in Data Science / ML roles;

• Deployed ML models into production, not just POCs or academic projects;

• Can explain architecture and model logic to non-technical stakeholders;

• Understanding of the full ML lifecycle — from raw data to dashboard;

• English B2 level and higher;

• Tech Stack:

1. Languages: Python (pandas, numpy, scikit-learn, matplotlib), SQL

2. Platforms: Azure, AWS, GCP, Databricks

3. Tools: MLflow, Spark, Synapse Analytics, Power BI, Tableau

4. Methods: classification, regression, clustering, time series

5. Processes: CI/CD, MLOps, Git, Jira, Agile/Scrum

• Nice to also have:

1. Experience with Generative AI, NLP, LLMs

2. Familiarity with Spark SQL / Delta Lake

3. Background in consulting or multi-domain project work

Conditions:

• Official employment under the Labor Code of Kazakhstan

• Remote format with an option to work from the office

• International projects and team