Jobs Data Scientist

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Strong Middle Data Scientist to play a key role in reshaping the way we provide our solutions.

You could be a perfect match for the position if
You want to:

• Analyze retail data to find patterns and derive insights for data-aware pricing strategies.
• Maintain, tune and improve existing models, investigate model performance issues and identify their root causes.
• Design and validate (proof-of-concept) POC for new modeling approaches, challenging existing assumptions when needed.
• Own complex SnD Data science solution implementation for new clients end-to-end: validate business requirements and data, map requirements to existing tools and functionalities, develop and evaluate models and bring the solution into production.
• Research, prototype and evaluate modelling approaches for new domains and challenging cases such as sparse demand, promotions and changing sales patterns.
• Collaborate with Data Scientists, Engineers, Product/Project Managers and domain experts to improve and bring to production new approaches of demand modeling.

You have:

• 3+ years of commercial experience in Data Science/Machine Learning or related field.
• Solid mathematical background preferably in Computer Science, Mathematics, Statistics or another quantitative field.
• Strong knowledge of statistics, classical machine learning, deep learning methods and commonly used forecasting approaches.
• Practical experience with time series forecasting methodologies.
• Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, gradient-boosting frameworks such as CatBoost/LightGBM and either Keras/TensorFlow or PyTorch.
• Experience with statistical hypothesis testing and experimental design, including A/B testing.
• Advanced SQL skills for data manipulation and extraction.
• Strong Python skills and experience writing clean, modular, maintainable code for prototyping and performing experiments.
• English sufficient for technical discussions, documentation, and collaboration in international environment (Upper-intermediate and higher level).

Desirable requirements:

• Experience in retail, e-commerce, pricing, revenue management or marketplaces.
• Experience working with large datasets and distributed processing tools such as. Pyspark/Spark/Databricks.

​Soft skills:

• Analytical mindset and critical thinking to solve complex problems.
• Strong ownership: you take responsibility for problems end-to-end, proactively drive them forward and stay accountable for the quality and impact of the final solution
• Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
• Business-oriented thinking, capable of translating complex models into clear business insights.
• Curiosity and a drive for continuous learning in the data domain.
• Strong team player, able to collaborate across cross-functional teams.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

Type: Full-time, remote
Location: EU + CIS + Balkans (citizenship doesn't matter — what matters is current location and the jurisdiction from which access to client servers would occur)
Contract: 12 months, long-term, with potential for extension
Start date: Early September 2026 (ASAP)
Time zone: CET
English: B2 minimum, C1 preferred

About the Role

We're looking for a senior Data Architect to design and modernize an Azure data platform, including the data architecture underpinning GenAI/RAG/Agentic applications. This is an architecture role, not hands-on RAG/ML development — the focus is on how enterprise data and knowledge are ingested, prepared, stored, governed, and made available for retrieval and AI consumption.

Must-Haves

• Azure Cosmos DB — hands-on experience with data modeling, partitioning, indexing, RU/throughput and cost optimization, consistency, Change Feed
• Proven experience designing data platforms supporting GenAI/RAG use cases
• AI-ready data architecture experience
• A real project where the candidate designed or contributed to the data architecture supporting a RAG, GenAI, or Agentic AI application
• Azure Synapse Analytics — depth across workload patterns (Pipelines, Spark, Serverless SQL, Dedicated SQL Pools)
• Azure Databricks
• Azure SQL MI / SQL Server / T-SQL
• Azure Data Lake / Lakehouse architecture
• Azure Functions
• Experience with structured and genuinely unstructured data (documents, PDFs, scans, images, email, free text)
• Metadata/configuration-driven ingestion — reusable, scalable design for onboarding new data sources
• Demonstrated architecture ownership — real decisions made, not just pipeline implementation
• At least 4 years of recent (not dated) hands-on Azure experience
• Must be an Architect by role, not a Data Engineer

What You'll Do

• Take over an existing, problematic data platform, quickly assess it, and deliver both tactical fixes and a longer-term target architecture
• Design a reusable ingestion architecture for heterogeneous sources (databases, APIs, files)
• Make technology-neutral calls on when Databricks/Synapse/ADF are actually needed — and when they're not
• Produce detailed, implementation-ready architecture documentation for engineering teams
• Own data governance, data quality, and incremental processing
• Communicate effectively with both technical and business stakeholders

A Note on GenAI/RAG

You won't be building RAG solutions or AI agents yourself. What's required is experience designing the data architecture around such applications — how enterprise data and knowledge get ingested, processed, indexed, and made available for retrieval and AI consumption (document processing, OCR, chunking, embeddings, vector search, etc.), including where Cosmos DB fits into that picture.

Interview Process

1. Intro call
2. Technical interview (~1 hour)

Be ready to walk through 2–3 concrete project examples using: problem → options considered → your decision → rationale → implementation → result. The focus is less on definitions and more on how you think as an architect and how quickly you can turn a messy existing situation into practical direction for an engineering team.

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor’s or master’s degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences

We offer/Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program — a free programming language training program for EPAMers’ children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We are looking for an experienced and product-minded Lead Data Scientist to drive the evolution of our Data Science function, shape the technical vision, and guide a high-impact team working at the intersection of research and production. This is a unique opportunity to influence strategy, lead cross-functional teams, and build ML solutions that directly power mission-critical business decisions

What You Will Do

• Define and own the Data Science strategy, ensuring alignment with business goals and long-term product vision.
• Shape and maintain the technical roadmap based on business priorities, team capacity, and company growth.
• Scale the Data Science function as the organization expands, designing team structure and hiring profiles.
• Lead, hire, and mentor a cross-functional team of Data Scientists while fostering a strong R&D culture built on rigor and measurable impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads, ensuring clarity and productivity.
• Act as the bridge between R&D and Delivery: translate business needs into research tasks and adapt prototypes into production-ready solutions.
• Architect client solutions by selecting appropriate models, algorithms, and assortment strategies using our ML stack.
• Serve as the quality gatekeeper: review code, validate A/B test designs, and ensure all work meets the team’s Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and recommendation quality.
• Communicate insights clearly to product managers, engineers, clients, and stakeholders, aligning expectations and next steps.
• Represent the company’s technological excellence to investors and partners during high-stakes due diligence.
• Collaborate with clients' Data Science and Analytics teams (including PhDs), explaining methodology, assumptions, and results with confidence.
• Translate complex model outputs into concise, business-oriented presentations for executives and decision-makers.
• Support the sales and pre-sales process by building compelling technical narratives and showcasing ML capabilities.

• Stay hands-on when needed — from debugging critical delivery issues to prototyping new models or designing experiments.

   

What You Have

• 5+ years of experience in Data Science or a related field, with a strong record of delivering production value.
• Strong Python and SQL proficiency, with clean and modular coding practices.
• Hands-on experience with Databricks and Apache Spark.
• Familiarity with Data Mesh principles and collaboration workflows with data engineering teams.
• Solid mathematical foundation, ideally within a Computer Science–related discipline.
• Expertise in scientific Python tools: NumPy, pandas, scikit-learn, and either TensorFlow/Keras or PyTorch.
• Deep understanding of statistical methods and A/B testing frameworks.
• Experience with Time Series Forecasting approaches.
• 3+ years working with tabular and mixed (multimodal) data.
• Bonus: experience in Causal Inference and ecommerce/retail domains.

• Upper-intermediate or higher English proficiency and excellent public speaking skills.

   

Soft Skills

• A strong focus on business impact — understanding not only how the model works but why it matters.
• Ability to translate complex concepts into simple explanations for non-technical stakeholders.
• Professional communication with highly technical client teams, including PhD-level experts.
• Ownership of data requirements, integration workflows, and validation processes.
• Comfort with experimentation, iteration, and decision-making in a dynamic environment.
• Proactivity: contribute DS-driven ideas to the Product Backlog and influence roadmap direction.
• Creative thinking and a pragmatic approach to solving complex technical and product challenges.

• Curiosity, eagerness to learn, and a strong entrepreneurial mindset.

   

You Will Love Working With Us Because

• Innovative ML stack with freedom to choose the best tools and approaches.
• Remote-first culture with the flexibility to work from anywhere.
• Flexible working hours (start between 8–11 AM), no time tracking.
• Regular performance reviews and clear OKR structure.
• In-depth onboarding with transparent success milestones.
• We cover 70% of your training or course fees.
• 20 vacation days, 15 days off, and an additional week of paid Christmas holidays.
• 20 business days of paid sick leave.
• Partial medical insurance coverage.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.

We are now looking for a hands-on Leader who can bridge the gap between advanced research and real-world product delivery. You will be the technical anchor for two streams: S&D (Service & Delivery), ensuring our clients get robust, profitable pricing recommendations, and R&D (Research & Development), guiding the strategy for next-gen algorithms.

What you will do

• Have clear vision and own the strategy of Data Science in the organization.
• Shape the technical roadmap based on business needs, team capacity, and long-term strategy.
• Gradually scale data science function with company growth. 
• Define the hiring profile, lead and mentor a cross-functional team of Data Scientists, and cultivate a high-performing R&D culture focused on scientific rigor and measurable business impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads.
• Act as the main bridge between R&D and S&D: translate business requirements into research tasks, and help the team adapt complex prototypes into stable, production-ready solutions.
• Architect client solutions by selecting the right models and assortment strategies to solve specific business problems using our existing stack.
• Serve as the quality gatekeeper for the team, conducting code reviews, verifying A/B test designs, and ensuring the team hits their Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and the overall quality of price recommendations.
• Communicate clearly with product managers, engineers, and occasionally clients to explain DS trade-offs, present results, and align on next steps.
• Confidently represent the company's technological expertise to investors and partners. You will clearly articulate the Data Science strategy, the core algorithms' defensibility, and the technical roadmap during high-stakes due diligence processes.
• Engage directly with customers' Data Science and Analytics teams (including PhD-level experts). You must be able to confidently explain our methodology, model assumptions, performance results, and address their most technical questions, serving as a critical differentiator during sales and pilot phases.
• Present complex model results, performance metrics, and strategic trade-offs to key stakeholders in a clear, concise, and business-focused manner.
• Support the sales and pre-sales process by building compelling technical narratives that demonstrate our value proposition and deep expertise in the pricing domain.
• Stay hands-on: dive into code and architecture when needed - whether it's designing a new experiment, fixing a critical issue in the delivery pipeline, or prototyping a new idea.

What you have

• 5+ years of experience in Data Science or a related field with a focus on delivering value to production.
• Strong Python and SQL skills, capable of writing modular and readable code for experiments and prototypes.
• Familiarity Databricks data platform and Apache Spark.
• General familiarity with Data Mesh approach and ability to leverage its best practices in collaboration with data engineers.
• Solid mathematical background, preferably in a Computer Science-related field.
• Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
• Deep understanding of statistical testing methodologies, specifically A/B testing design.
• Familiarity with Time Series Forecasting approaches.
• At least 3 years of experience working with tabular and mixed (multimodal) data.
• Expertise in Causal Inference and background in Ecommerce/Retail are strong pluses.
• Upper-intermediate or higher level of English and strong public speaking skills.

Soft skills 

• You care not only about how the model works mathematically but what value it brings to the user and the business.
• Able to translate complex technical concepts into simple business language for stakeholders.
• Able to professionally and clearly communicate with PhD scientists on customer side during the sales process, pilot and rollout.
• Able to own data requirements and build efficient processes to support integration and data engineering with outlining data integration and validation requirements.
• Ready to experiment, pivot, and make data-driven decisions in a dynamic business environment.
• Proactively contribute ideas to the Product Backlog with ideas based on technical knowledge and capabilities.
• Be able to think outside of the box and find simple and elegant solutions to complex problems, including technical, product and processes-related ones.
• Curiosity and a drive to continuously learn within the domain.
• Have a truly entrepreneurial mindset.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

We are looking for a Principal Backend & Data Architect to own the architecture of a complex data-intensive product from the ground up.

This is a hands-on technical leadership role for someone who has designed production-grade platforms where data modelling, versioning, traceability, permissions and long-term architectural decisions are critical.

What you will own

• Core backend and data architecture
• Domain and data modelling
• Versioned and temporal data structures
• Data provenance, lineage and historical recomputation
• Multi-tenant architecture and data isolation
• Permission models including RBAC / ABAC
• Auditability and traceability
• Computation and semantic layers
• Technical standards and architecture documentation
• Technical leadership and review of backend implementation

What we are looking for

• 8+ years of backend/software engineering experience
• Proven experience architecting complex, data-heavy production systems
• Excellent system design and data modelling skills
• Strong PostgreSQL / SQL expertise
• Experience with distributed systems, queues, background processing and APIs
• Experience with temporal, versioned or event-driven architectures
• Strong understanding of multi-tenancy, authorization and data security
• Ability to make architecture decisions and remain hands-on during implementation
• Experience leading senior engineers technically

Strong advantage

Experience with regulated or sensitive data, healthcare, fintech, insurance, IoT, analytics or decision-support platforms.

This is not a pure management or solution-architecture role. We are looking for someone who can design the foundation, challenge assumptions and stay close to implementation.

We are looking for a highly skilled Senior Data Scientist to join our team.  As a Senior Data Scientist, you will be responsible for designing and implementing advanced data models, analyzing complex business problems, and developing solutions that help optimize sales, marketing, pricing, and overall commercial performance in a leading American publishing house.

The role will contribute to the transition from primarily descriptive analytics toward more advanced, data-driven decision making.

Skills & Experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field;
• 5+ years of experience in data science roles;
• Strong experience applying data science and machine learning to business problems, ideally in areas such as sales, marketing, customer behavior, demand forecasting, or pricing optimization;
• Proficient in Python and SQL for data analysis, scripting, and machine learning;
• Proficient in using agentic coding tools like Claude Code, Codex, Cursor
• Experience with SciKit-learn, Pytorch, and similar machine learning frameworks for building and deploying machine learning models;
• Experience working with modern data warehouses/lakehouses like Snowflake, Databricks, BigQuery, Redshift
• Strong analytical and problem-solving skills, with the ability to translate ambiguous business problems into data-driven solutions;
• Ability to work independently and collaborate with business and technical stakeholders;
• Fluent in English and excellent communication skills.

Nice to have: 

• Strong background in data science, with extensive experience in leveraging advanced analytics and machine learning to drive data-driven business decisions.

Responsibilities

• Design, develop, and implement advanced data models and machine learning algorithms to solve complex problems in the publishing domain, like author discovery;
• Analyze sales, marketing, customer, product, and pricing data to identify opportunities and support business decisions;
• Develop data-driven approaches to areas such as demand forecasting, customer behavior, sales optimization, marketing effectiveness, and pricing;
• Work with business stakeholders to understand broad or ambiguous business challenges and translate them into analytical and machine learning solutions;
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights and recommendations;
• Build and maintain scalable data pipelines using technologies such as Snowflake, and DBT;
• Leverage Python and SQL for data analysis, model development, experimentation, and automation;
• Utilize SciKit-learn, Pytorch and similar frameworks for developing and deploying machine learning models;
• Help evolve the organization from descriptive analytics toward predictive and prescriptive analytics and data-driven decision making;
• Stay current with emerging trends and technologies in data science and machine learning.

Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, these hires are expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Requirements

Implement the capabilities required to acquire, standardize, harmonize, and operationalize external marketing, media, commerce, and third-party datasets at scale. 

• Strong experience with SQL, Python, and cloud-based platforms like AWS, GCP, or Azure.
• Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
• Familiarity with modern data ecosystems — e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• A proactive approach to solving problems and improving systems.
• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• A passion for data and how it can drive better decisions in media, marketing and beyond.

Experience with technologies and platforms such as

• Adverity, Fivetran, Airbyte
• Google Ads, DV360, Campaign Manager 360, Search Ads 360
• Meta, TikTok, Amazon Advertising, LinkedIn, Pinterest, Trade Desk
• Marketing, advertising, commerce, audience, or measurement data ecosystems

Job responsibilities

• Building and maintaining external data integrations
• Implementing reusable ingestion frameworks
• Standardizing and harmonizing media and marketing datasets
• Integrating third-party and client-owned data sources
• Supporting real-time and batch data acquisition patterns
• Providing expert input into data acquisition and onboarding approaches

About Digis
Digis is a European IT company with 250+ specialists delivering complex products for 70+ clients across the U.S., Europe, and Canada. We operate in a remote-first environment and focus on long-term collaboration, stable projects, and transparent processes.

About the Project
An AI-driven real-time market intelligence platform for the global fresh produce industry. The platform helps growers, retailers, distributors, and investors make faster, data-driven decisions.

Requirements

• 5+ years of professional experience in Data Science.
• Strong Python skills and experience with ML libraries.
• Strong SQL skills and hands-on experience with BigQuery.
• Strong experience with GCP.
• Experience with advanced machine learning frameworks and libraries such as XGBoost, LightGBM, PyTorch, or TensorFlow.
• Upper-Intermediate+ English level

Responsibilities

• Analyze complex multivariable datasets and identify key patterns and drivers.
• Build forecasting and classification models using statistical, ML, and deep learning approaches.
• Engineer features based on seasonality, weather, trade flows, and regional dynamics.
• Design and maintain model evaluation and backtesting frameworks.
• Assess model uncertainty, explainability, and performance.
• Monitor model drift and continuously improve model quality.
• Prototype LLM and AI-agent use cases.
• Collaborate with engineering teams to deploy models into production.

Advantages

• High ownership of the scientific and modeling layer.
• Work with unique global weather, market, trade, and supply-chain datasets.
• Build models that directly impact customer-facing products.
• Direct collaboration with CTO, founders, and senior leadership.
• Freedom to experiment with new approaches and technologies.
• Remote-first working environment.

We Offer

• 20 paid vacation days per year
• 5 paid sick days
• Compensation for professional courses
• English learning support
• Work equipment
• Transparent communication and processes
• Opportunity to switch projects within Digis
• Corporate psychologist

ORIL is looking for a Data Integration Specialist to lead and manage the data integration architecture of our AI-driven facilities management platform. The ideal candidate will possess strong expertise in optimizing data pipelines, resolving intricate integration issues, and ensuring uncompromising data quality.

About the Project

A platform shaping the future of facilities management by connecting buildings, occupants, service providers, and operatives. It streamlines soft FM services so property managers and service providers can plan, source, and manage their portfolios more efficiently and at lower cost, delivering real-time transparency across every site. The ecosystem spans FM service workflows, IoT-connected building sensors, third-party FM platforms, mobile and web clients, and event-driven microservices.
 

What You'll Do

• Design, build, and maintain scalable data pipelines and integrations across internal microservices, third-party FM platforms, IoT sensors, and external APIs.
• Design and implement ETL/ELT pipelines on Azure Databricks, building on Delta Lake and Lakehouse architecture to ingest, model, transform, and serve structured and semi-structured data.
• Define and own the data modelling layer - schemas and domain models that keep data structured and validated before ingestion, avoiding raw data sprawl.
• Work with event-driven architectures (message queues, pub/sub, event streams) to enable real-time data propagation and workflow automation.
• Define and enforce data mapping, transformation rules, and validation standards across all data flows.
• Collaborate with backend engineers, product managers, and data stakeholders to translate integration requirements into robust solutions.
• Monitor integration health, set up alerting, and diagnose pipeline failures to maintain high availability and data fidelity.
• Document integration patterns, data contracts, and API specifications for the wider engineering team.
• Contribute to platform-wide data quality, observability, and reliability standards.

What We're Looking For

• 4+ years of professional experience in a data integration, data engineering, or backend integration role.
• Hands-on experience with Azure Databricks for data engineering, pipeline orchestration, and large-scale transformations.
• Strong proficiency in Python for data engineering, pipeline development, and transformation logic.
• Strong understanding of data modelling, schema design, and data transformation patterns.
• Experience with relational and/or NoSQL databases (PostgreSQL, Cosmos DB, or similar).
• Understanding of distributed systems, microservices architectures, and cloud-native environments.
• High attention to detail and a strong sense of ownership over data quality and integration reliability.
• Comfort working across engineering, product, and business teams.
• English: Upper-Intermediate+

Nice to Have

• Experience with Azure Service Bus or similar event-driven messaging platforms (pub/sub, message queues, async workflows).
• Exposure to real-time streaming data and sensor telemetry workflows.
• Knowledge of data governance, lineage tracking, or observability tooling.

We offer:

• Competitive compensation;
• Accounting support services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events;
• Education & certification budget + corporate education events;
• Wellness budget;
• An agile environment and culture that promotes personal and team development.

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams.

We are looking for a Senior Big Data Developer to join a project focused on building data-driven solutions and integrations using the Databricks platform.

You will work on backend logic, API integrations and application components within Databricks Apps, contributing to scalable and maintainable solutions that integrate with enterprise systems and procurement processes.

Responsibilities:

• Develop and maintain applications and data solutions using Databricks
• Build and configure Databricks Apps, Workflows, Delta Lake and Unity Catalog
• Develop backend logic using Python, including routing, validation and business logic
• Design and implement integrations with external systems through REST APIs
• Work with JSON, OAuth 2.0 and API-based content routing
• Develop application interfaces using Streamlit or React within Databricks Apps
• Implement and maintain data and API integration flows
• Write unit and integration tests to ensure solution quality and reliability
• Use Git and CI/CD practices for development and deployment
• Implement logging, monitoring and troubleshooting mechanisms
• Collaborate with other developers, architects and business stakeholders

• Contribute to technical decisions and continuous improvement of the solution

   

Requirements:

• Strong commercial experience as a Big Data / Data / Software Developer
• Hands-on experience with Databricks
• Practical knowledge of:
  • Databricks Apps
  • Databricks Workflows
  • Delta Lake
  • Unity Catalog
• Strong Python skills, particularly for backend development
• Experience with REST APIs, JSON and OAuth 2.0
• Understanding of API-based content routing
• Experience with Streamlit or React
• Good understanding of software engineering practices
• Experience with Git and CI/CD
• Experience writing unit and integration tests
• Experience with logging, monitoring and troubleshooting
• Ability to work independently and communicate effectively with technical and business stakeholders
• English at a level sufficient for working in an international environment
• Tax residence in Ukraine required

Nice to Have:

• Experience with E-Invoicing solutions
• Knowledge of SAP Ariba
• Experience integrating with ERP or procurement systems
• Knowledge of UBL / PEPPOL
• Experience working with enterprise integration platforms

Наш клієнт - один із провідних банків України, який поєднує багаторічну експертизу у фінансовій сфері із сучасними технологіями та data-driven підходом. Компанія розвиває цифрові продукти, інвестує в інновації та створює відкрите й інклюзивне середовище для професійного розвитку.

На цій посаді ви працюватимете з даними на всіх етапах - від визначення вимог і контролю якості до побудови моделей та перевірки їхньої цінності для бізнесу.

Роль поєднує машинне навчання, програмування та взаємодію з бізнес-командами. Ви досліджуватимете нові напрями, створюватимете моделі й прототипи, тестуватимете їх у реальних умовах та допомагатимете перетворювати дані на практичні рішення.

Вимоги:

• Повна вища освіта (магістр, спеціаліст)
• 2–4 роки в досвіду у Data Science / Machine Learning / Advanced Analytics / AI.  
• Практичний досвід роботи з корпоративним аналізом даних, побудовою та оцінкою предиктивних та аналітичних моделей. 
• Розуміння основних ML-підходів: classification, regression, clustering, anomaly detection, model evaluation. 
• Базове або практичне розуміння сучасних applied AI підходів, зокрема роботи з мовними моделями, OCR, RAG підходами буде суттєвою перевагою.
• Розуміння підходів до вибору моделей, оцінювання якості, компромісів між accuracy / latency / cost, а також доцільності fine-tuning, prompt engineering, RAG або rule-based post-processing для прикладних бізнес-сценаріїв. 
• Здатність працювати в структурованому середовищі з документацією, версіонуванням, відтворюваністю результатів та командною взаємодією.  
• Досвід роботи у банку або fintech буде перевагою. 

Задачі:

• Аналізувати бізнес-задачі та трансформувати їх у формалізовані data science / machine learning / AI завдання визначеними метриками якості  
• Виконувати повний цикл розробки моделей: data preparation, feature engineering, model training, validation, tuning, model selection, evaluation, передання у експлуатацію (prod)  
• Брати участь у lifecycle супроводі моделей, включно з monitoring, retraining / recalibration, change management та аналізом деградації. 
• Підтримувати explainability / interpretability та представляти результати у формі, придатній для бізнес-користувачів 
• Брати участь у документуванні логіки моделі, джерел і правил підготовки даних, ключових припущень, обмежень, метрик якості, результатів валідації та вимог до подальшого супроводу, формуючи пакет артефактів (governance, model risk review, audit trail та production support.) 
• Брати участь у підтримці ML стеку платформі Cloudera CML + H2O-3. 
• Працювати з прикладними AI-компонентами та сервісами на базі open source і Azure для реалізації задач, пов’язаних з обробкою тексту, документів, чат-ботів, мовлення та інших RAG-інтенсивних сценаріях. 
• Брати участь у побудові та оцінюванні рішень на базі LLM, RAG, OCR, перекладачів, SST/TTS. 
• Проводити експерименти з prompt-based, retrieval-based та fine-tuning / adaptation підходами, оцінювати їхню доцільність, якість, ризики та готовність до prod використання. 

Компанія пропонує:

• Офіційне працевлаштування;
• Конкурентну заробітну плату;
• Щорічний перегляд компенсації відповідно до результатів роботи;
• Медичне страхування та страхування життя, повністю оплачені компанією;
• 25 днів щорічної відпустки та додаткові дні відпустки;
• Професійне навчання у напрямах Data, SQL, BI, Agile, бізнес-аналітики та інших;
• Індивідуальний план розвитку за підтримки керівника або ментора

Вітаємо в King Group — місці, де зустрічаються найкращі люди з IT- та гемблінг-індустрії, щоб разом створювати масштабні digital-продукти. Ми розвиваємо численні проєкти у сфері iGaming на ринках України та Tier 1, інвестуємо у венчурні стартапи, перспективні ідеї та талановитих людей.

Шукаємо Middle Data Scientist до нашої команди в офіс у Києві. Якщо вам цікаво працювати з великими обсягами даних, будувати ML-моделі та створювати рішення, які впливають на продукт і бізнес — будемо раді познайомитися.

Основні задачі:
 

• Побудова, навчання та валідація ML-моделей (класифікація, регресія, кластеризація) для вирішення бізнес-задач компанії.
• Підготовка, очищення та трансформація даних для навчання моделей машинного навчання.
• Проведення дослідницького аналізу даних (EDA), пошук закономірностей та формування гіпотез.
• Аналіз ефективності моделей, оцінка їх якості за допомогою релевантних метрик та інтерпретація результатів.
• Підтримка, моніторинг та вдосконалення моделей, що працюють у production.
• Оптимізація існуючих моделей та участь у впровадженні нових ML-рішень.
• Співпраця з командами аналітики, розробки та бізнесу для реалізації data-driven рішень.

Основні вимоги:
 

• Ступінь бакалавра/магістра (математика, статистика, інформатика чи суміжна галузь) або еквівалентний практичний досвід, підкріплений хорошими знаннями математики, статистики та теорії ймовірностей.
• Від 2 років досвіду роботи на аналогічній посаді.
• Практичний досвід програмування на Python (Pandas, NumPy, SciPy, Scikit-learn) та впевнене володіння SQL.
• Розуміння класичних алгоритмів машинного навчання: Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, Clustering та інших.
• Досвід побудови, навчання, оцінювання та валідації моделей машинного навчання.
• Розвинене аналітичне мислення, відповідальність, самостійність та орієнтація на результат.

Буде перевагою:
 

• Досвід роботи з моделями часових рядів (Time Series), Google Cloud Platform (BigQuery, Cloud Functions), Kedro, TensorFlow або PyTorch, а також з деплоєм та підтримкою моделей у production.

Ми пропонуємо Boost-програми — систему компенсацій для розвитку та комфорту:

• Skill Boost — оплата навчання та курсів.
• Sport Boost — покриття витрат на спорт або абонемент до спортзалу.
• Yummy Boost — оплата корпоративних обідів.
• Content Boost — доступ до розважальних медіапідписок.
• Relocation Boost — підтримка релокації до Києва.

Також:

• Офіційне працевлаштування, медичне страхування, корпоративний лікар.
• Оплачувані лікарняні та відпустка.
• Сучасний офіс у центрі Києва (пішки від м. Либідська/Звіринецька) з панорамною терасою.
• Реферальна програма з бонусами за успішно найнятих кандидатів.
• Команда, яка цінує ініціативність, нові ідеї та прагнення до професійного розвитку.
• Робота над продуктом, де результат моделей напряму впливає на бізнес.
  
   

Зацікавило? Надсилай своє резюме — і познайомимось! 

ПриватБанк - найбільший банк України та один з найбільш інноваційних банків світу. Він займає лідируючі позиції за всіма фінансовими показниками в галузі та становить близько чверті банківської системи країни.

Ми шукаємо досвідченого Data Quality Issue Manager, який прагне працювати в динамічному середовищі та розділяє цінності взаємної довіри, відкритості та ініціативності.

Ми прагнемо знайти цілеспрямованого професіонала, який вміє працювати в режимі багатозадачності, володіє знаннями дата аналітика, бізнес аналітика, орієнтованого на якість та результат.

Напрямок діяльності: команда займається побудовою сучасних процесів забезпечення та контролю якості даних для підвищення ефективності прийняття управлінських рішень та покращення якості цифрових послуг

Кваліфікаційні вимоги:

• Вища освіта
• Досвід роботи у банківській сфері
• +3 роки досвіду роботи з даними
• Аналітичні здібності
• Навички роботи з великими масивами даних
• Розуміння принципів побудови та описання бізнес-процесів
• Високий рівень самоорганізації, ініціативності, тайм-менеджменту
• Знання SQL (читання скриптів, перевірка налаштувань)
• Сильні комунікативні навички та вміння ефективно взаємодіяти з технічними та бізнес-командами.

Професійні обов'язки

• Відпрацювання інцидентів з інформацією про появу некоректних (підозрілих) даних
• Перевірка джерел появи даних і визначення масовості проблем з даними
• Ініціювання коригування даних по не масовим проблемам
• Ініціювання завдань для змін у процесах, які сприяють появі нових інцидентів по DQ-показникам
• Участь у проєктах та вирішення комплексних проблем, що виявляються в межах DQ процесів пов’язаних з покращенням якості даних у різних доменах Банку
• Забезпечення та гарантія якості корпоративних даних (зібраних, що зберігаються та використовуються)

Своїм співробітникам ми пропонуємо

• Роботу в найбільшому та інноваційному банку України
• Офіційне працевлаштування та 24 календарних дні відпустки
• Компенсацію лікарняних
• Медичне страхування 
• Конкурентну заробітну плату
• Бонуси, премію відповідно до політики компанії
• Корпоративне навчання
• Сучасний комфортний офіс
• Цікаві проєкти, амбіційні задачі та динамічний розвиток
• Корпоративну фінансову допомогу у критичних ситуаціях
• Дружній професійний колектив та сильну команду
• Можливість віддаленого формату роботи

ПриватБанк відкритий до підтримки та працевлаштування ветеранів i ветеранок, а також людей з інвалідністю.

Для нас неприйнятною є дискримінація через стан здоров’я та фізичні можливості, вік, расову чи етнічну належність, стать і сімейний стан.

Ми готові навчати ветеранів та кандидатів з інвалідністю без досвіду роботи в банківській сфері.