Jobs Data & Analytics

GlenFlow is an international Venture Studio that creates and scales technology companies across AI, enterprise software, automation, and emerging industries. We identify high-potential market opportunities, validate business ideas, and transform them into venture-backed companies.

We are looking for a proficient Venture Analyst to become one of the first members of our venture creation team. You will research industries, identify venture opportunities, validate business ideas, and help design new companies from concept to investment readiness.

Your Responsibilities

1. Market Research

Research global industries, technology trends, customer problems, and high-potential market opportunities.

2. Venture Analysis

Evaluate market size, competitive landscape, business models, commercial potential, technology readiness, and venture-scale opportunities.

3. Customer Validation

Conduct and analyze interviews with English-speaking B2B customers, validate assumptions, and refine venture concepts.

4. Investment Preparation

Prepare investment memos, market analyses, financial models, and present recommendations in English to the internal investment committee.

5. Venture Methodology

Build a repeatable research framework, standardize venture evaluation, and contribute to the firm’s venture creation methodology.

Core Competencies

 • You can identify attractive industries and discover venture-scale market opportunities.

 • You can evaluate market size, competition, customer demand, unit economics, and commercial viability.

 • You can conduct industry research, develop business cases, and prepare investment-grade investment memos in English.

 • You can validate business ideas through structured customer interviews and market analysis.

 • You can recommend whether to launch or reject a venture opportunity based on evidence, market potential, and commercial feasibility.

Preferred Background

Candidates may come from one or more of the following backgrounds:

 • Strategy Consulting (McKinsey, BCG, Bain, Big Four Strategy, or boutique consulting firms)

 • Venture Capital, Private Equity, Corporate Development, or Investment Analysis

 • Product Management or Product Strategy in B2B SaaS, AI, Enterprise Software, or Robotics

 • Founder, Founder Associate, Startup Operator, or Innovation Lead with experience launching new products or businesses

ZentixSoft is looking for a Senior AWS Cloud Data Engineer (Financial Ecosystems) ☁️📊

We are significantly expanding our data engineering and analytics direction for our strategic international partners and are looking for a highly mature Senior Data Engineer to drive cloud-native banking data products.
 

Note: This is an Outstaffing role where you will join a high-impact core data team. 

⚠️ A Quick Note for Applicants: To move forward swiftly, your CV must clearly highlight your hands-on architecture decisions, specific AWS technologies used, data volumes, and the precise banking data products you have delivered.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your expertise and engineering growth. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

If you are ready to architect resilient data solutions for a massive financial ecosystem, here is what our perfect match looks like:

1️⃣ Engineering Seniority: A proven track record of designing, building, and operating large-scale data platforms specifically within the AWS cloud environment. 
2️⃣ FinTech & Banking Domain: Solid experience handling sensitive financial data products (focused on areas like Risk, Compliance, Fraud Prevention, Finance, or Regulatory Reporting). 
3️⃣ Governance Mastery: Deep understanding of banking infrastructure needs, including strict data lineage, quality validation, auditability, and data security. 
4️⃣ Independence: Ability to make standalone architectural and technical design choices, turning raw business requirements into robust, high-volume production pipelines. 
5️⃣ Communication: Fluent English combined with strong stakeholder management skills to align easily with business, tech, and compliance teams.
 

Project Details: 
📍 Location: Primarily remote, with a preference for candidates located in the Baltics (or other EU countries). 
✈️ Work Model: Occasional onsite visits to client offices in the Baltics (approx. once per month for 2–3 days). 
⏳ Duration: Long-term cooperation. 
🚀 Start: ASAP.

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client's proprietary tools.

Job Description

- Confident PC user (Windows)
- Basic English
- Extensive internet research skills
- Creative problem-solving and analysis skills
- Team player with good interpersonal and solution-oriented attitude
- Readiness to work in shifts (mandatory)
- Stress-resistance
- Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
- Video gaming experience also useful
 

Job Responsibilities

- Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
- Check the quality of content and do an analysis of quality data
- Work on various data tools and generate information by doing online research
- Provide inputs/content with high quality
- Ability to identify and verify source authenticity
- Solve complex problems in time-bound and effective manner
- Ability to analyze data by doing secondary research
 

🏢 About The Company
Physician's Choice started with the simple idea that better health starts with the gut. In just 8 years, we have become the #1 Probiotic Brand in the US. Our products are available in Walmart, Target, CVS, Sam's Club, Amazon, TikTok Shop, and many other retailers across the United States.
Our mission is to empower everybody to make confident wellness choices, guided by physician expertise and validated by real results. Join our passionate team and help shape the future of one of America's fastest-growing wellness brands.

💼 About The Role
Physician's Choice is looking for a passionate, analytical, and results-driven Retail Planning Manager to join us on our mission of becoming the #1 Gut Health Brand in the US.
As our Retail Planning Manager, you will own inventory planning and retail demand execution across our rapidly expanding omnichannel business. You will ensure the right inventory is available at the right place, at the right time, while balancing customer service, inventory investment, production capacity, and business priorities.

This role partners closely with Sales, Amazon, Supply Planning, Logistics, Operations, Finance, and our contract manufacturing partners. You'll translate customer demand into executable inventory plans supporting both retail partners and ecommerce channels.

Requirements
🎓 Bachelor's degree in Supply Chain, Business, Operations, Economics, Finance, Engineering, or a related field.
📈 5+ years of experience in Retail Planning, Demand Planning, Inventory Planning, Supply Planning, or within the CPG industry.
🛒 Experience supporting large national retailers such as Walmart, Target, Sam's Club, Costco, CVS, Walgreens, Kroger, or similar accounts.
📦 Strong understanding of retail replenishment, demand forecasting, inventory management, and S&OP (Sales & Operations Planning).
💼 Experience working in omnichannel businesses supporting both Retail and Ecommerce operations is preferred.
📊 Advanced Microsoft Excel skills, including data analysis and reporting.
⚙️ Experience with ERP systems, planning software, and BI tools is preferred.
🤝 Excellent analytical, communication, and cross-functional collaboration skills.
🌍 Ukrainian or Russian language skills are a plus, but not required.

What You'll Do
📦 Retail Demand & Inventory Planning
• Own inventory planning and forecasting across key retail partners (Walmart, Sam's Club, Target, CVS, HEB, Rite Aid, iHerb, Vitacost, etc.).
• Maintain healthy inventory levels while minimizing stockouts and excess inventory.
• Align production plans with customer demand and inventory needs.

🛒 Omnichannel Inventory Strategy
• Manage inventory allocation across Retail, Amazon, Walmart Marketplace, TikTok Shop, DTC, and Wholesale.
• Optimize inventory distribution to maximize sales and profitability.
• Recommend allocation strategies during supply constraints.

🎯 Retail Execution & Customer Readiness
• Ensure inventory readiness for launches, promotions, and seasonal programs.
• Monitor retailer service metrics, scorecards, and inventory performance.
• Identify supply risks and implement mitigation plans.

📊 Sales & Operations Planning (S&OP)
• Lead demand planning inputs for the monthly S&OP process.
• Present forecasts, risks, and recommendations to leadership.
• Drive alignment across Sales, Supply Chain, Operations, and Finance.

📈 Forecasting & Analytics
• Track key KPIs including forecast accuracy, inventory turns, service levels, and OTIF.
• Analyze sales trends, demand drivers, and forecast performance.
• Build reports, dashboards, and planning models to support decision-making.

🤝 Cross-Functional Collaboration
• Partner with Sales, Marketing, Finance, Operations, Logistics, and Supply Planning teams.
• Coordinate with manufacturers, warehouses, and logistics partners.
• Communicate inventory risks and recovery plans across stakeholders.

⚡ Continuous Improvement
• Enhance forecasting processes and planning methodologies.
• Develop SOPs, reporting tools, and dashboards.
• Support ERP and planning system improvements.

Benefits:
🌍 Work for an international company focused on the US market
⏰ Timely salary payments
💰 Bonuses
🎓 Courses and training at the company’s expense
🏖 Paid vacations, sick days, holidays off days
📈 Possibility of developing your career and mastering adjust professional fields
🧾 Official employment
🛒 Free access to company products
🧠 Corporate psychologist services
🚀 Interesting project and continuous growth every day


🚀 Ready to Make an Impact?
If you're a data-driven Retail Planning professional who thrives in a fast-paced consumer products environment and enjoys turning complex inventory challenges into scalable solutions, we'd love to hear from you.

About us:
Devlight is the AI partner for companies moving from manual work to intelligent operations.
We design and build AI agents, intelligent workflows, and product experiences that reduce manual effort, improve decision-making, and strengthen customer experience.
Built on a decade of delivering digital products used by millions, we bring product discipline to AI, designing systems that teams can operate, trust, and improve over time.
Our clients: Nova Poshta, Sense Bank, Aurora, OKWINE, NOVUS, VARUS, BROCARD, Dnipro-M, and many others.

About the role:

This is a role for an analyst who likes variety. You’ll work across several client projects in different domains – fintech, retail, energy, residential-living apps, and whatever’s next. Some are still in pre-sale and discovery; others are deep in delivery. The work keeps changing, and so does what you pick up along the way.

We’re an AI-forward team, and we look for analysts who think the same way – using AI to draft faster, decompose smarter, and free up time for the thinking that actually matters.
 

Your future responsibilities:

• Run discovery sessions and workshops with clients and their stakeholders, asking the questions that surface what they really need
• Decompose epics into features and write clear, testable acceptance criteria
• Spec behavior across mobile, web, and admin/CMS – app states, offline/sync, deep links, content management, and what the user sees when data is missing or loading
• Spec integrations end to end – how external systems connect, what data maps where, and how the app behaves when they’re slow or down
• Think through edge cases, fallbacks, and dependencies – not just the happy path
• Model flows visually so the team aligns fast – BPMN, UML, sequence, flow diagrams
• Pick up existing products and work out how they’re built before reshaping them
• Partner with the PM, architect, designer, and dev team to take a feature from idea to build, and stay with it through testing and release
• Coordinate with external vendors and client-side teams when integrations or shared systems are involved
• Keep requirements traceable and version-controlled – Git for the team, Confluence for the client, Jira for tracking

Your professional qualities:

This is a role for someone who enjoys both sides – the analysis and the technical depth. You’re as comfortable defining an API contract as you are running a client workshop.

• 2–4 years as a System or Business Analyst, with hands-on experience writing technical requirements
• You write feature specs a developer can build from without guessing – structured and complete, with clear acceptance criteria, data dictionaries, and field-mapping tables
• REST APIs and JSON are familiar ground – you read OpenAPI/Swagger and define contracts, not just consume them
• You think about the unhappy paths too – error states, fallbacks, validation logic
• You’re confident with diagrams: BPMN, UML, sequence, flow
• Systems thinking comes naturally – you spot edge cases and dependencies early
• You’re comfortable analyzing an existing system from the outside – reading its behavior, integrations, and data flows when documentation is thin
• You’re comfortable owning your requirements end to end
• B2+ English for client conversations

Nice to have: 

• Payment & billing logic – checkout, subscriptions, provider integrations
• Subscription & wallet-style flows – recurring billing, shared or pooled balances
• Notifications & messaging – push, in-app, email/SMS triggers and timing
• Privacy & data handling – GDPR basics, consent, PII
• Localization & multi-language flows
• Product analytics – GA, Amplitude, or Firebase event design
• SQL for hands-on data checks
• AI tools already in your workflow – Cursor, Claude Code, or similar

What we offer for your success:

• Fully remote or hybrid work format.
• Paid Time Off, sick days, regular reward evaluations, and accounting support.
• Reimbursement for training courses and compensation for the use of personal equipment.
• IT Club Loyalty Card.
• Work with an open-minded team that welcomes your new ideas, alongside the best specialists who love sharing their experience.
• Get the chance to connect with top companies and contribute to the growth of the Ukrainian IT community together.

Our recruitment process:
Recruiter Interview ✅ Test Task ✅ Tech Interview ✅ Reference Check ✅ Offer ✅
Ready to become a part of Devlight? Go ahead and send us your CV. We’ll be thrilled to welcome you to the team!

Main Responsibilities:

Data Engineer is responsible for helping select, deploy, and manage the systems and infrastructure required of a data processing pipeline to support customer requirements.

You will work on cutting-edge cloud technologies, including Microsoft Fabric, Azure Synapse Analytics, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid in the implementation projects for corporate clients all over EU, CIS, United Kingdom, Middle East.

Our ideal candidate is a professional passionated with technologies, a curious and self-motivated person.

Responsibilities revolve around DevOps and include implementing ETL pipelines, monitoring/maintaining data pipeline performance, model optimization

Mandatory Requirements:

– 3+ years of experience, ideally within a Data Engineer role.

– understanding of data modeling, data warehousing concepts, and ETL processes

– 2+ years of experience with Azure Cloud technologies

– experience in distributed computing principles and familiarity with key architectures, broad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark, Azure Data Factory)

– Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)

– SQL-skills

– communication and interpersonal skills

– English —В2

Will be beneficial if a candidate has experience in SQL migration from on-premises to cloud, data modernization and migration, advanced analytics projects, and/or professional certification in data&analytics.

We offer:

– professional growth and international certification

– free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)

– innovative data & analytics projects, practical experience with cutting-edge Azure data&analytics technologies at various customers’ projects

– great compensation and individual bonus remuneration

– medical insurance

– long-term employment

– ondividual development plan

Responsibilities

– Design, development, and delivery of BI solutions using Power BI and SQL
– Publishing and managing reports via the Power BI service
– Consult and train customers to build their own visualization in Power BI service
– Conducting workshops and presentations

Requirements

– Minimum of 2 years of experience in Power BI development and implementation
– Confident practical experience of working with Power BI (DAX, Power Query, RLS)

– Experience of developing Power BI reports full cycle (data import, modeling, creating measures, visualizations)
-Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
– Strong SQL-skills

– Strong understanding of data modeling, data warehousing concepts, and ETL processes.
– Excellent analytical and problem-solving skills, with the ability to identify data patterns, trends, and insights.

– Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels.
– Experience in working with diverse industries and domains, understanding various business processes and challenges.

– English —at least upper intermediate level is a must (including presentation skills)
– Experience working in Agile development environment with tools such as Jira

Nice to Have:

– Experience in building ETL (Extract, Transform and Load) pipelines
– Knowledge of programming languages: Python
– Microsoft Power BI Data Analyst certified preferred

We offer

– Opportunities for professional growth and international certification
– Free of charge technical and business trainings and the best bootcamps
(worldwide, including HQ Microsoft- Redmond courses)
– Innovative data and analytics projects and practical experience with cutting-edge
Microsoft technologies
– Long-term employment ( not a temporary project)
– Individual development plan
– English speaking club — to develop your language level

We're looking for an experienced Business Analyst to work with stakeholders, product, and delivery teams — turning business needs into clear requirements and effective software solutions in a regulated healthcare environment.

  This is a fully remote role.

  Responsibilities

  - Gather and clarify requirements using interviews, workshops, document analysis, and other elicitation techniques.

  - Analyze business processes and data, and translate needs into functional and non-functional requirements.

  - Create and maintain epics, use cases, user stories, and acceptance criteria.

  - Identify gaps, dependencies, risks, and inconsistencies in requirements.

  - Collaborate with stakeholders, SMEs, designers, developers, and QA.

  - Create process flows and system diagrams using UML, BPMN, or similar.

  - Manage requirements scope and support solution validation and user acceptance testing.

  - Help ensure requirements account for healthcare compliance and data privacy (e.g., HIPAA/PHI).

  Requirements

  - At least 2 years of professional Business Analyst experience on software projects.

  - Experience in the healthcare domain (health tech, payers/claims, clinical/EHR, life sciences, or similar).

  - Strong knowledge of requirements elicitation, analysis, documentation, and management.

  - Understanding of AI-powered products or Agentic AI solutions.

  - Practical experience with Agile (Scrum or Kanban).

  - Experience creating diagrams using UML, BPMN, or similar notation.

  - Strong facilitation, analytical, and communication skills.

  - Comfortable working in a fully remote, distributed team, with excellent written and verbal English.

  Nice to Have

  - Familiarity with healthcare compliance (e.g., HIPAA) or claims/payer workflows.

  - SQL experience.

  - Business Analysis, Scrum Master, or Product Owner certification.

  - Experience with Jira and Confluence.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

You'll be a great fit if you have:

- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.

If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

- 1+ years of experience as a Data Engineer;
- Strong experience with Python;
- Proven experience with Databricks and Datafactory;
- Experience with AWS/Azure;
- Experience building ETL / ELT pipelines;
- Proficiency in SQL.

What you'll do:

- Developing ETL/ELT pipelines and data management solutions;
- Implementing data processing algorithms;
- Writing and optimizing SQL queries for data extraction and analysis;
- Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

- Working with a high-skilled engineering team on engaging and complex projects;
- Hands-on experience with the latest technologies;
- Direct communication with international clients and challenging tasks;
- Opportunities for personal and professional growth;
- Competitive salary pegged to USD;
- Paid vacation and sick leave;
- Flexible working hours;
- Friendly working atmosphere with zero bureaucracy;
- Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a leading video monetization platform used by hundreds of digital publishers worldwide to recommend high-quality video content to their users. As part of the Platform Team, you will help build and evolve client's core management platform - a mission-critical Video CMS used by internal teams and publisher clients to manage video libraries, campaigns, placements, business rules and to track performance across the network. You will work primarily on the PHP 8 backend, Platform REST APIs, and a React/TypeScript frontend that powers the modern management UI. The platform functions as a high-scale Video CMS, handling complex workflows for fetching, processing, and managing content at scale. The system manages large-scale video and advertising operations — thousands of assets, millions of videos, and workflows that directly affect publisher operations and video delivery worldwide using modern databases and data stores like MySQL/MariaDB, Redis and OpenSearch.

Key Requirements:
🔹 5+ years of experience in backend or full-stack development;
🔹 Strong Backend Foundations - Deep understanding of client/server architecture and core backend workflows;
🔹 PHP Experience;
🔹 React & TypeScript - Strong advantage;
🔹 Data & Cloud Savvy - Hands-on experience with modern data stores (MySQL/MariaDB, Redis, OpenSearch) and cloud environments (AWS preferred);
🔹 Collaboration & Automation - Comfortable with standard engineering workflows (Git, Jira, Code Reviews) and automated testing concepts;
🔹 Soft Skills - Excellent communication skills, collaborative mindset, and;
🔹 English proficiency;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Domain Experience - Background in Ad-Tech, video publishing, or media systems;
🔹 Advanced API Design - Experience with complex REST APIs (auth, permissions, pagination, and bulk operations);
🔹 Data Architecture - Strong background in algorithmic thinking and data sync/consistency across relational DBs and search indexes;

What you will do:
🔹 Contribute to Core Architecture - Design and implement scalable backend systems, REST APIs, and complex workflows while evaluating database performance and collaborating with DevOps on AWS infrastructure;
🔹 Build Features End-to-End - Deliver backend logic and React/TypeScript UI for videos, channels, templates, and placements;
🔹 Drive Technical Excellence - Ensure stability and efficiency of heavy backend processes, scheduled jobs, and data sync across core data stores;
🔹 Impact the Roadmap - Collaborate with the Team Leader and Product to translate requirements into technical designs;
🔹 Embrace Modern Tooling - Leverage AI-assisted development tools and;
🔹 Partner with QA on automated testing (transitioning to Playwright);

Interview stages:
🔹 HR Interview;
🔹 Intro-call with client;
🔹 Manager Interview (1h);
🔹 Live coding session (3h);
🔹 VP Interview (1h);
🔹 Reference check;
🔹 Offer;


Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

ML Engineer / MLOps Engineer

Location: Remote
Duration: Long-term
 

Основні обов'язки:

• Керувати повним циклом розгортання, підтримки та моніторингу ML/DL-моделей у production.
• Проєктувати та впроваджувати системи керування датасетами та лейблами, включаючи versioning та інтеграцію customer feedback.
• Розвивати Model Registry з підтримкою версіонування, model lineage та локального inference.
• Впроваджувати рішення для Experiment Tracking та Monitoring (ML та Generative AI), включаючи оцінку моделей, виявлення data drift та забезпечення відтворюваності експериментів.
• Розвивати системи model serving та inference: autoscaling, A/B testing, canary deployments, оптимізація latency та вартості.
• Забезпечувати інфраструктуру для Generative AI (prompt management, tagging tools, LLM testing).
• Покращувати DevOps-процеси, автоматизувати ML workflows та впроваджувати reusable компоненти (CI/CD, data loaders, automated retraining).
• Тісно співпрацювати з Data Scientists та командою Data Platform Engineering для впровадження ML-рішень у production.
   

Основні вимоги:

• Вища освіта у сфері Computer Science, Software Engineering або суміжній галузі.
• Практичний досвід роботи як ML Engineer та MLOps Engineer.
• Глибоке розуміння ML/DL workflows та MLOps best practices.
• Досвід побудови та підтримки CI/CD процесів.
• Комерційний досвід роботи з AWS, Azure або GCP.
• Впевнене володіння Python та Java.
• Досвід роботи з PostgreSQL, MongoDB, Redis.
• Практичний досвід з MLflow, Langfuse, SageMaker або аналогічними інструментами.
• Досвід роботи зі Spark.
• Досвід використання PyTorch або TensorFlow.
   

Важливо:  мати комерційний досвід одночасно як ML Engineer, так і MLOps Engineer.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.