Grid Dynamics

🚀 Senior Data Scientist / Forecasting (AWS)

We’re looking for a Senior Data Scientist with deep expertise in time-series forecasting and AWS, to lead the design and delivery of large-scale, end-to-end forecasting systems that directly impact business decisions.

This role is perfect for someone who thrives at the intersection of advanced modeling, experimentation, and real-world business impact.

🌍 About the Role

You will own the full forecasting lifecycle across SKU, store, channel, and time hierarchies, shaping how data drives key decisions such as demand planning, inventory optimization, and allocation.

This is a high-impact, strategic role where you will define modeling approaches, drive experimentation, and influence both product and operational outcomes.

🧩 Key Responsibilities

• Lead the development of end-to-end forecasting systems across complex business dimensions
• Define modeling strategies and evaluation frameworks aligned with real business use cases
• Design and own experimentation frameworks (A/B testing, causal inference, counterfactual analysis)
• Quantify the business impact of forecasts (service levels, inventory, cost, planner decisions)
• Set the technical direction for modern forecasting approaches, combining:
  • statistical models
  • machine learning & deep learning
  • LLM-enabled techniques (embeddings, hybrid architectures)
• Apply advanced time-series methodologies, including:
  • hierarchical forecasting
  • intermittent demand
  • demand sensing
  • Forecast Value Added (FVA)
• Own production deployment and lifecycle:
  • cloud-native architectures (AWS)
  • scalable pipelines and APIs
  • monitoring, retraining, and MLOps practices
• Collaborate with product, engineering, and operations teams to turn ambiguous problems into clear, actionable solutions

🛠️ Tech Stack & Requirements

• Strong experience with AWS (must-have)
• Deep expertise in time-series forecasting (must-have)
• Experience with:
  • Python, ML/DL frameworks
  • large-scale data pipelines
  • MLOps and production systems
• Solid background in statistics, experimentation, and causal inference

💡 Why Join

• Work on high-impact forecasting problems that directly influence business decisions
• Own end-to-end solutions — from modeling to production
• Shape the future of data-driven planning and optimization
• Collaborate with senior stakeholders across product, engineering, and operations

🚀 Lead Data Engineer (EU)

We’re looking for a Lead Data Engineer to join a high-impact data transformation initiative focused on modernizing data pipelines and enabling scalable, future-ready data architecture.

This role is ideal for someone who enjoys working на стику data engineering, architecture, and cross-team collaboration, and хоче впливати на стратегічні рішення у data ecosystem.

🌍 About the Project

You will be part of a large-scale initiative aimed at transforming how data is ingested, processed, and consumed across the organization.

The key focus is on migrating and optimizing data flows, ensuring seamless integration with modern platforms such as Databricks Unity Catalog, and enabling more efficient and scalable data consumption.

🧩 Key Responsibilities

• Analyze existing data pipelines and codebase to identify data entry points
• Design and execute data source migration strategies (source-to-target mapping, adapters development)
• Redesign data consumption processes to support integration with Databricks Unity Catalog
• Collaborate closely with cross-functional teams (data foundation & product teams)
• Ensure smooth transition and alignment across systems, including permissions and dependencies
• Drive best practices in data engineering and contribute to architectural improvements

🛠️ Tech Stack

• Python / Spark / SQL
• Azure Data Factory
• Apache Airflow
• Databricks ecosystem (Unity Catalog)

Project description:
The goal of the project is to onboard the commercial data into EDF and deliver the reporting platform through PowerBI on top of Golden Layer built by GD (Medallion architecture).

Client description:
It is a global food and beverage leader with a product portfolio including 22 brands that generate more than $1 billion each in annual retail sales.

We're looking for a Data Engineer to:
Design and implement scalable data pipelines using Azure Data Factory and Databricks (PySpark).
Develop the Gold layer (semantic layer) for accurate business reporting.
Utilize Azure DevOps for CI/CD and implement observability to ensure data integrity.

Required Technology Stack:
Cloud: Azure
Processing: Databricks, PySpark
Storage: ADLS, Delta Lake
Orchestration: Azure Data Factory (ADF)
DevOps: Azure DevOps
Reporting: Power BI
Concepts: Medallion Architecture, Observability

About the Role
We're seeking a Technical Product Manager/Business Analyst to bridge the gap between business-facing product managers and engineering teams. This role will help translate business requirements into technical specifications that engineering teams can execute efficiently.

Key Responsibilities
Translate business requirements into detailed technical specifications
Work closely with Claude AI agents to accelerate development workflows
Create and manage Jira stories with sufficient technical context
Collaborate with cross-functional teams (Product, Engineering, QA, UX)
Help implement AI-driven automation across the product development lifecycle
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Required Skills
3+ years experience in technical product management or business analysis
Experience with AI tools, particularly Claude or similar LLM platforms
Strong understanding of software development processes
Ability to communicate effectively with both business stakeholders and technical teams
Experience with Jira and agile methodologies
Familiarity with CI/CD pipelines and automation concepts

Preferred Skills
Healthcare industry experience
Experience building or working with AI agents and skills
Knowledge of modern software architecture (microservices, API-first design)
Background in technical writing or documentation

As a Mobile Automation QA, you will:
Design and implement QA test automation infrastructure and test scenarios for client–mobile–backend systems, including communication between devices, front-end, back-end services, and mobile applications.
Design and execute end-to-end (E2E) tests for iOS and Android, testing new features while focusing on deep internal aspects of the feature and its integration with the operating system.
Learn and adopt new features, technologies, and platforms in a relatively short amount of time (e.g., Bugfender, Raygun, Crashlytics, Datadog).

Requirements:
Bachelor’s degree in Computer Science, Engineering, or another exact science field.
4+ years of experience writing automated tests for mobile devices, preferably using Python (UI automation tests, integration tests).
Experience working with iOS testing tools such as Instruments, XCUITest, XCTest, or Xcode.
Experience working with Android testing tools such as Instrumented Tests, Local Tests, Espresso, or Android Studio.
At least 1 year of experience in automation infrastructure development.
Experience working with RESTful APIs.

Advantage:
Experience writing mobile unit tests on devices or emulators.
Experience with mobile automation frameworks such as Robot Framework or Cucumber using Python – big advantage.
Experience with one of the following systems: AWS Device Farm, Sauce Labs, WebdriverIO, Docker, AWS, Airflow, BrowserStack App Automate.
1 year of manual web testing experience.
Experience working with or building CI/CD pipelines and understanding the mobile automation development cycle (Jenkins, GitHub Actions, Azure AppCenter).
In-depth knowledge of mobile operating systems.
Experience testing Mobile SDKs, location-driven features, NFC, or BLE integrations.
Experience testing battery consumption in background processes.

Ми, в Grid Dynamics, зараз в пошуку досвідченого Senior Ruby Developer з 8+ роками досвіду.

Продукт: масштабована self-service платформа для запуску промо-кампаній. Персоналізовані промо, SOX-compliance з вбудованими аудит-контролями, прозорий моніторинг ефективності, інтеграції з внутрішніми системами, довгострокова підтримка та розробка платформи.

Технологічний стек: 

• Ruby on Rails
• PostgreSQL
• GraphQL
• Apache Kafka
• Datadog

• Bonus: досвід у eCommerce/MarTech, аналітиці промо, робота з high-load системами.

  
  Ми пропонуємо:
  
  📌 робота по ФОП 3-ї групи
  📌 віддалена робота або в офісі - обираєш ти (наші офіси знаходяться у Львові, Києві, Дніпрі та Харкові)
  📌 20 днів відпустки, 10 днів лікарняного, медичне страхування
  📌 надання необхідної техніки для роботи
  📌 доступ до навчальної платформи
  📌 гнучкий робочий графік
  📌 безкоштовні курси англійської мови