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Senior Data Scientist

Everstar·Salary not specified

Primary stack

DockerPythonPostgreSQLFastAPISQL

Nice to have's

HardwareIoTDefenseTechETL/ELT pipelinesBI/Data VisualizationCloud infrastructure

Job description

Description language:

About the Position

We're seeking a Senior Data Scientist to join our R&D team in Kyiv, Ukraine, focusing on predictive analytics and machine learning model development.

Responsibilities

  • Independently explore existing data sources (internal databases, external APIs, registries) and formulate hypotheses for improving business processes.
  • Design, build, and implement ML models for predictive analytics (demand forecasting, supply risk assessment, anomaly detection, predictive maintenance for equipment/drones).
  • Set up the full data workflow: from collection and cleaning to deploying models in production.
  • Collaborate closely with engineering and operations teams to integrate solutions into backend systems.

Requirements

  • Deep knowledge of mathematical statistics, probability theory, and ML algorithms (Gradient Boosting, Time Series forecasting, Regression, Clustering).
  • Practical experience in building high-accuracy predictive models for real business needs.
  • Proficiency in Python and key analytics/ML libraries (pandas, numpy, scikit-learn, xgboost/lightgbm, statsmodels).
  • Strong experience with PostgreSQL and other relational/analytical databases, ability to write complex optimized SQL queries.
  • Ability to independently "dig" into data, find non-obvious correlations, and form high-quality features.
  • Ability to write clean, modular code.
  • Experience with Docker.
  • Ability to independently wrap a model into a service (FastAPI) and deploy it on a Linux server or in the cloud.
  • High level of autonomy: Ability to set tasks independently, identify "white spots" in data, and bring ideas to production without micromanagement.
  • Business-oriented mindset: Ability to speak the language of metrics (ROI, costs, risks), not just accuracy/MSE.
  • Good English language skills (reading technical documentation and analytics).

Nice to Have

  • Experience in the fields of Hardware, IoT, DefenseTech, logistics, or manufacturing.
  • Experience creating automated ETL/ELT pipelines (Airflow, Prefect, dbt, etc.).
  • Knowledge and experience with BI/Data Visualization tools (Grafana, Metabase, Superset).
  • Experience with cloud infrastructure (GCP, AWS).

We Offer

  • Simple and clear onboarding. Registration through Diya.City - no complicated schemes.
  • Work-life balance. 24 days of vacation, flexible schedule, and up to 10 days of remote work per year.
  • Support when needed. Health insurance and psychologist consultations.
  • Opportunity to learn and grow. Compensation for courses and access to educational materials. Plus support from the team, mentorship, and buddies.
  • Decent pay. Market compensation and bonuses.
  • Culture you can feel. Recognition of achievements, gifts for important events, an extra day off on your birthday, corporate events, and a strong internal community.
  • Team nearby. Office in Kyiv (right bank) with everything necessary and people who are easy to work with.

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Ми — EverstarПерше рекрутингове агентство, що допомагає miltech компаніям знаходити талановитих людей та спільно наближати перемогу.Наші клієнти займаються розробкою програмного забезпечення, проєктуванням безпілотної техніки, навчанням пілотів БпЛА, виробництвом девайсів та деталей.Наша місія — поєднувати талановитих спеціалістів із командами, що творять унікальні продукти в оборонній сфері.Ми шукаємо людей, що прагнуть долучитися до амбітних проектів та наближати перемогу України за допомогою свого досвіду та експертизи:• RnD: інженери-електроніки, конструктори, спеціалісти з Hardware, QA, RF, Computer Vision;• Менеджмент: Project та Product менеджери, керівники напрямів;• Адміністративні: HR та Recruitment спеціалісти, офіс-менеджери;• Фінанси, закупівлі, логістика;• Виробничі спеціальності.Надсилай своє резюме намта долучайся докоманд, що наближають перемогу України щодня!

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