Jobs Data & Analytics

We are now looking for a Data Scientist with LLM usage background to join our development team and help build innovative solutions in medical tourism.
 

Your Role:

As a Data Scientist, you will:

• Extract medical entities and patterns from large volumes of text documents including medical reports, patient histories, and clinical notes using NLP techniques (NER, entity linking) to identify diagnoses, procedures, medications, and symptoms for automated document processing and intelligent search capabilities.
• Implement clustering and similarity detection algorithms to group similar medical cases, treatment patterns, and patient profiles, enabling better matching between patients and healthcare providers through unsupervised learning methods (K-means, DBSCAN, hierarchical clustering) and semantic similarity measures.
• Engineer data architecture for new chatbot features and integrate them with existing tools like CRM, databases, and analytics services.
• Optimize AI solutions to enhance system speed, stability, and quality, including refactoring and improving existing functionalities, while incorporating state-of-the-art AI methodologies and frameworks.
• Build personalized offer-generation services by aggregating data from forms, chats, attached files, clinic price lists, and historical databases to generate real-time, patient-specific proposals.
• Work with databases (MySQL, PostgreSQL, MongoDB) to design scalable structures, write efficient queries, and ensure data security and integrity.
• Test, refactor, and maintain code while documenting key decisions and ensuring clean, maintainable systems.
• Support our chatbot assistant by designing and implementing advanced AI-driven modules (multi-layered task decomposition for optimal results), leveraging Natural Language Processing + LLM services to enhance conversational capabilities and user experience.
• Enhance business processes by brainstorming with Sales and Product teams, suggesting improvements, and exploring new AI/ML advancements (e.g., OpenAI, Lama, other ML tools) to integrate novel solutions into existing workflows.
   

What You Need:

• 4+ years of experience in data science or related fields.
• Strong expertise in Python (preferably with FastAPI).
• A solid understanding of modern big data analysis approaches, clustering, and correlation searches.
• Prompt engineering (OpenAI / Claude models)
• Database architecture skills
• Proficiency in MySQL and MongoDB
• Hands-on experience with AI tools for tasks like text/image analysis and content generation.

What We Offer

• Competitive salary aligned with market standards.
• Engaging projects in the medical tourism and travel industries.
• A collaborative environment of Python and PHP engineers, frontend developers, product managers, and medical coordinators.
• Comprehensive benefits package, including:
  • 22 paid vacation days annually.
  • Medical insurance.
  • Compensation for sports activities.
  • Remote work flexibility with an 8-hour workday starting between 8–10 AM.
• Opportunities to grow your skills with regular updates to your compensation.
• The chance to impact a meaningful product that transforms lives.

OTAKOYI is looking for a smart and eager Senior AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!

Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes intelligence, knowledge, and task automation across ecosystem. Built to enhance productivity, orchestrate complex workflows, and provide proactive insights, it is more than a chatbot—it’s an AI-powered front-end for the company's digital transformation. The platform also underpins another application known as Studio AI, for which this role will also be responsible.

This is a pivotal role, responsible for defining and executing the long-term AI strategy, owning system architecture, and providing strong technical direction to evolve the platform. If you have a passion for building transformative AI solutions, excel in strategic thinking, and thrive in taking architectural ownership — this role offers the opportunity to make a lasting impact.
The ideal candidate will bring a unique mix of visionary thinking, deep technical expertise, and hands-on experience, capable of driving Navigator and Studio AI’s next phase of innovation through technical leadership and architectural excellence.
 

Required Skills 

• Deep AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems;
• AI Tech Stack: Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models;
• Cloud Infrastructure: Advanced experience with Azure-based cloud ecosystems and Kubernetes-based orchestration for scalable AI workloads;
• Production-Grade AI Systems: Experience with vector search (e.g., Milvus), real-time APIs, embedded analytics, and third-party integrations (e.g., MS Graph API, Copilot Studio);
• System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity with microservices, API management, and real-time data processing;
• Technical Communication: Ability to clearly articulate architectural decisions, technical trade-offs, and AI roadmaps to cross-functional stakeholders;
• Strategic Mindset: Strong analytical and strategic thinking skills, with the foresight to anticipate future AI trends and an understanding of how to apply them to a multi-functional platform like Navigator;
• Upper-Intermediate level of English is mandatory.

Preferred Skills 

• Industry Experience: Experience within a large, matrixed organization,
preferably in technology or a related industry;
• Experience with AI-driven Multi-Modal Systems: Knowledge of systems integrating chat, voice, visual data, and embedded dashboards is a plus;
• Enterprise AI Context: Familiarity with compliance, governance, and scalability considerations in deploying AI in enterprise environments;
• Project Management: Experience with prioritization and execution in agile settings (without direct team ownership).

Responsibilities 

• Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals;
• AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components;
• Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company;
• Platform Innovation: Keep Navigator at the forefront of technology by
incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration;
• Quality & Performance Optimization: Establish benchmarks for platform performance, reliability, and security. Regularly review and refine Navigator’s core systems to ensure peak performance and user satisfaction;
• User Experience Focus: Drive a user-first approach, ensuring that Navigator’s functionality and interface support intuitive and seamless interactions for Company's employees, partners, and customers;
• Vendor & Technology Management: Evaluate and manage strategic relationships with third-party vendors, especially in areas like NLP, Microsoft integrations (e.g., Copilot), and cloud infrastructure (Azure), to leverage the best available technology.

Recruitment process 

1. Pre-screening Interview with Recruiter (up to 45 minutes)
2. Tech Interview (up to 1,5 hour)
3. Client Interview (up to 45 minutes)

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple businesses within the wider banking group. The platform leverages modern cloud and AI technologies to transform legacy workflows, enhance data quality, and accelerate digital decision-making.

Position Overview:
 

We are looking for a Tech Lead Full Stack Engineer with strong hands-on engineering expertise leading agile software development teams. The ideal candidate will define and drive the technical strategy of the platform, guide engineers in delivering scalable and secure systems, and actively contribute to architectural decisions and solution design.

This role requires both strong technical depth and leadership capabilities, particularly in environments involving Google Cloud, microservices, APIs, Python and data-intensive processing.

The Tech Lead will work closely with product, architecture, data science, and engineering teams to ensure high-quality delivery and alignment with business outcomes.

Join Our Team & Earn Exciting Bonuses!
As a special incentive, we’re offering a Welcome Bonus of $3,000 USD for a new hire. Plus, if you refer a friend who gets hired, you’ll receive a Referral Bonus of $2000 USD!

Key Responsibilities:

• Define and communicate the technical vision, architecture, and engineering roadmap for the team and platform.
• Lead engineers, conduct code reviews, provide architectural guidance, and ensure adherence to engineering standards.
• Lead the technical delivery lifecycle from design and development to deployment and maintenance.
• Build scalable, high-performance microservices and UI and APIs using modern frameworks and cloud-native design principles.
• Oversee integration of AI components (E.g Google Cloud, Vertex AI, Gemini models, and LLM evaluation frameworks)
• Promote test-driven development, automate testing pipelines, and ensure robust, maintainable code.
• Work with product managers, architects, BAs, and business teams to translate business needs into technical solutions.
• Contribute to product strategy, identify technical opportunities, and propose improvements to shape future releases.
• Drive best practices for cloud infrastructure, security, observability, and performance optimization on Google Cloud.
   

Requirements:

• 8+ years of experience in software engineering with at least 3+ years in a Tech/Team Lead role.
• Strong background in software/platform/database design in data-heavy or distributed environments.
• Hands-on experience with microservices, React JS, and cloud-native architectures.
• Proficiency in Python.
• Solid Cloud experience (GCP is prefferable) 
• Hands-on experience building and integrating LLM pipelines, handling conversation memory, and long-running workflows
• Proficiency in RAG architectures with a focus on optimized search retrieval and scalable data indexing strategies
• Practical experience with AI output validation, automated evaluation strategies, and secure AI integration
• Experience with LLM observability, tracing (e.g., LangSmith, Langfuse), and token usage/cost optimization
• Experience implementing automated testing frameworks, CI/CD pipelines, and TDD/BDD practices.
• Strong understanding of software engineering principles: scalability, performance, reliability, observability.
• Proven experience leading engineering teams in agile delivery environments.
• Advanced English and excellent communication skills and ability to work with both technical and non-technical stakeholders.
   

Nice to Have:

• Prior exposure to document processing platforms, OCR, NLP, or workflow automation.
• Experience in financial services or other regulated industries.
• Familiarity with architectural frameworks (C4 modeling, DDD, event-driven systems).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

As a Senior AI Prototyping Engineer, you will work at the intersection of AI research, product engineering, and rapid experimentation. Your mission is to turn new AI capabilities into real, testable product experiences and help bring the best of them into production at Spark. You will collaborate closely with Product, Design, and our AI R&D team to explore ideas, build prototypes, evaluate them quickly, and help ship AI features to a global audience.

What you’ll do:

• Prototype new AI-powered features based on emerging AI capabilities
• Translate early ideas into end-to-end working prototypes
• Design and maintain evaluation pipelines (quality, latency, cost, reliability)
• Compare models, prompts, and approaches using metrics and structured evaluation
• Work closely with R&D to turn research insights into product-ready concepts
• Collaborate with product engineers to support production integration
• Iterate quickly based on evaluation results and product feedback
• Track relevant AI advancements and assess their applicability to Spark
   

About you:

• 5+ years of experience building software products or prototypes
• Hands-on experience working with LLMs and modern AI APIs
• Strong prototyping skills in at least one of: Swift, Java, Kotlin, TypeScript, Go or Python
• Experience building or using evaluation frameworks for AI systems
• Ability to compare solutions using metrics and data
• Product-oriented mindset with focus on real user value
• Strong communication skills across engineering, R&D, and product teams
• Comfort working on early-stage problems and defining solutions
   

Would be a plus:

• Experience with on-device ML (Core ML, LiteRT Next, ONNX)
• Familiarity with mobile or desktop product architectures (iOS, Android, Electron)
• Experience with supervised fine-tuning or tuning provider-hosted models
• Experience collaborating closely with designers or building demo UIs
• Prior work on AI features used by large user bases
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

Remote AI Vibe Developer

Open-Source LLM Training & Agentic Product Engineering (Remote)

Role Summary

We’re hiring an AI Vibe Developer — a product-minded engineer who ships production-quality software quickly by combining strong engineering fundamentals with AI-assisted (“vibe coding”) workflows and modern LLMOps best practices (evals, tracing, guardrails, prompt/version management).

A core requirement of this role is working with an open-source / open-weights LLM that we will fine-tune and run ourselves. You’ll help take it end-to-end — from data → training → evaluation → serving → iteration — and integrate it into real, user-facing product flows.

Responsibilities

1) Build & ship AI-powered product features (end-to-end)

• Deliver features from prototype to production: UI, backend, integrations, deployments, and iteration.
• Use AI coding tools/agents to accelerate delivery while maintaining code quality (tests, reviews, standards).
• Own rollout strategy: feature flags, staged releases, rollback plans, and production support.

2) Design agentic workflows and “AI inside” capabilities

• Implement LLM features such as:
  • Tool/function calling with strict schemas and reliable fallbacks.
  • Retrieval-Augmented Generation (RAG) when needed (grounding, freshness, controllable outputs).
  • Multi-step agent flows (routing, planner/executor patterns, memory/context strategies).
• Integrate external tools/services securely (internal APIs, CMS, analytics, ticketing, CRM, etc.).

3) Open-source LLM training & lifecycle ownership

• Help select the best open-weights model baseline based on quality, licensing, latency, context length, and multilingual support.
• Build and maintain the data pipeline: collection, cleaning, de-duplication, PII redaction, formatting, and dataset versioning.
• Run fine-tuning workflows (e.g., SFT and preference tuning when relevant) with reproducibility and experiment tracking.
• Build a practical evaluation suite (golden sets + edge/adversarial cases) to gate training runs and releases.
• Drive iterative improvement using an error taxonomy: failures → targeted data improvements → retrain → regression checks → release notes.

4) Inference, serving, and performance optimization

• Package and deploy the model for production serving (containerized) with reliability and observability.
• Optimize serving latency/cost via batching, caching, quantization, and safe model routing where applicable.
• Implement system-level guardrails: schema-constrained outputs, input validation, tool allowlists, rate limits, and safe degradation paths.

5) Evals-first development and observability

• Define success metrics (quality, groundedness, refusal behavior, latency, cost, user satisfaction) and track them continuously.
• Instrument LLM flows with tracing (inputs, tool calls, retrieved docs, outputs, model/version, latency, cost).
• Maintain prompt/version control and changelogs; support A/B tests and controlled rollouts.

6) Collaboration & enablement

• Work closely with Product, Design, Data, and QA to translate “vibes” into measurable outcomes.
• Create lightweight playbooks: eval templates, prompt guidelines, incident runbooks, and “how we build with AI here.”
• Improve team velocity by sharing patterns and avoiding AI productivity pitfalls (over-trusting outputs, under-testing).
•  

Requirements

Core Engineering

• 3+ years of software engineering experience (or an equivalent portfolio of shipped products).
• Strong proficiency in Python (required for the training stack), plus at least one of: TypeScript/Node.js, Go, or Java.
• Strong fundamentals: API design, async workflows, testing strategy, debugging, CI/CD, Git, and production ownership.

Open-Source LLM Engineering (Must-have)

• Hands-on experience fine-tuning and/or deploying open-weights LLMs end-to-end: data → training → evaluation → serving.
• Strong understanding of:
  • Tokenization and context budgeting
  • Dataset quality, leakage risks, and evaluation methodology
  • Instruction tuning concepts and preference optimization fundamentals

About the job:

We are an innovative AI-driven construction intelligence startup, committed to transforming the construction industry with cutting-edge technology. Our mission is to enhance the efficiency, safety, and productivity of construction projects through intelligent solutions.
 

We’re hiring a hands-on Senior Data Engineer who wants to build data products that move the needle in the physical world. Your work will help construction professionals make better, data-backed decisions every day. You’ll be part of a high-performing engineering team based in Tel Aviv.

‍

Responsibilities:

• Lead the design, development, and ownership of scalable data pipelines (ETL/ELT) that power analytics, product features, and downstream consumption.
• Collaborate closely with Product, Data Science, Data Analytics, and full-stack/platform teams to deliver data solutions that serve product and business needs.
• Build and optimize data workflows using Databricks, Spark (PySpark, SQL), Kafka, and AWS-based tooling.
• Implement and manage data architectures that support both real-time and batch processing, including streaming, storage, and processing layers.
• Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources.
• Manage the deployment, scaling, and performance of data infrastructure and clusters, including Spark on Kubernetes, Kafka, and AWS services.
• Manage the deployment, scaling, and performance of data infrastructure and clusters, including Databricks, Kafka, and AWS services.
• Use Terraform (and similar tools) to manage infrastructure-as-code for data platforms.
• Model and prepare data for analytics, BI, and product-facing use cases, ensuring high performance and reliability.

‍

Requirements:
 

• 8+ years of hands-on experience working with large-scale data systems in production environments.
• Proven experience designing, deploying, and integrating big data frameworks - PySpark, Kafka, Databricks. 
• Strong expertise in Python and SQL, with experience building and optimizing batch and streaming data pipelines.
• Experience with AWS cloud services and Linux-based environments.
• Background in building ETL/ELT pipelines and orchestrating workflows end-to-end.
  Proven experience designing, deploying, and operating data infrastructure / data platforms.
• Mandatory hands-on experience with Apache Spark in production environments. 
• Mandatory experience running Spark on Kubernetes.
• Mandatory hands-on experience with Apache Kafka, including Kafka connectors.
• Understanding of event-driven and domain-driven design principles in modern data architectures.
• Familiarity with infrastructure-as-code tools (e.g., Terraform) — advantage.
• Experience supporting machine learning or algorithmic applications — advantage.
• BSc or higher in Computer Science, Engineering, Mathematics, or another quantitative field.

Gamzix company, a dynamic player in the iGaming industry:

• Was founded in March 2020 with a vision to redefine the world of online slot games
• Has already successfully produced 60 slot games
• The team has grown to over 120 skilled professionals, and we continue to grow
• Our main hub is in Warsaw — right in the heart of Europe
• With a strong focus on quality and compliance, we hold the prestigious MGA B2B Critical Supply License and certifications from industry leaders iTechLabs and GLI, ensuring the highest standards
   

Hey there! 👋
 

The Gamzix team keeps growing — and now we’re looking for a Senior BI Analyst who will turn data into clear insights and help shape product and commercial decisions behind our slot games.
If you enjoy working with metrics, building impactful dashboards, and uncovering patterns that drive growth — we’d love to meet you!
 

Responsibilities:

• Build and maintain BI reports and dashboards (Power BI/Tableau/Looker/Metabase)
• Analyze product performance metrics such as GGR, NGR, Total Bet, RTP, Retention, DAU/WAU/MAU, and Session Length
• Prepare dashboards on commercial performance, including LTV by players/GEO/operators, market share, and ARPU
• Conduct a cohort analysis to identify the most profitable player categories
• Analyze player behavior, including funnels from the first spin, promo campaign participation, and engagement patterns
• Generate insights for game designers on mechanics and features that drive retention and monetization
• Support the sales team with analytics on partners and markets (e.g., operator growth and decline trends)
• Formulate hypotheses and design A/B tests for new game mechanics or promotional tools
• Work with databases (SQL), prepare data sets, and create exports
• Collaborate closely with product and commercial teams
   

Requirements:

• 4+ years of experience as a BI Analyst, Data Analyst, or similar role
• Strong proficiency in SQL with the ability to work with large datasets
• Hands-on experience with Tableau (experience with other BI tools is a plus)
• Excellent data visualization skills and the ability to communicate insights effectively to business stakeholders
• Strong analytical mindset with the ability to identify patterns, dependencies, and propose actionable solutions
• At least 2 years of experience in the iGaming industry would be a plus
• Solid understanding of key iGaming product metrics: GGR, NGR, Total Bet, RTP, Retention, DAU/WAU/MAU, Session Length, ARPU would be a plus
• Strong analytical and critical thinking
• Ability to translate business questions into analytical tasks and insights
• Excellent communication skills
• Data storytelling and presentation skills
• Proactive and self-driven approach to problem solving
• Strong ownership and accountability for results
   

What we offer:

• Market-level salary in the IT/Gaming industry.
• Relocation support to Warsaw.
• Referral bonus — bring in awesome people and get rewarded.
• Home-Office coverage.
• 7-hour working day, 10:00–18:00 (including lunch break).
• Hybrid model in Warsaw; full remote — for other locations.
• Paid Sick Leave: up to 10 working days per year.
• Paid Time Off: 18 vacation days, 10 days off, paid state holidays.
• Corporate benefits: medical coverage, sports compensation, compensation for psychological services.
• Professional Development Support: reimbursement for external courses, training & certifications.
• Corporate English classes (Business or General) — flexible timing.
• Buddy Program.
• Internal Gamzix Store (earn coins & exchange for branded gifts).
• Corporate team building and activities.
• Open and friendly communication.
   

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.
 

I give my consent in accordance with the Law on the Protection of Personal Data dated June 1, 2010, No. 2297, effective from January 1, 2011, for the processing of information classified as personal data.

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects, and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed.

We believe that our people and culture sustain Syndicode’s success. Our team is unified by shared principles like Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, and Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and can analyze various sources to make sound and timely decisions.

If it sounds like you, apply for our vacancies and become a new Syndicoder!

About the role

As a Business Analyst, you will play an important role in aligning clients' business needs with our technology solutions. Your role involves analyzing data, understanding client requirements, and translating them into effective project specifications. Working collaboratively with diverse teams, you'll be pivotal in optimizing processes, fostering clear communication, and ensuring the successful delivery of outsourcing solutions.
 

What you’ll be doing

• Creating comprehensive and robust documentation and requirements that align with the Software Development Life Cycle (SDLC) phases and meet the customers' specific needs
• Conducting workshops and meetings to gather requirements, prioritize features, and resolve conflicts, fostering effective stakeholder collaboration
• Identifying the business needs and expectations of the customer and translating them into business change drivers and effective technical solutions
• Utilizing business analysis methods and techniques to establish and document functional, non-functional, and transition requirements with end-to-end traceability throughout the project life cycle
• Identifying potential risks and developing a strategy to mitigate them
• Reviewing, documenting, implementing, and maintaining business processes for both the internal team and customers
• Auditing project processes to improve results and customer satisfaction
• Contributing to sprint planning sessions by providing insights into the feasibility and effort required to implement features
• Facilitating clear, ongoing communication with all parties involved in a project to ensure a shared understanding is maintained

What you’ll need

• 4+ years of working experience as a Business Analyst
• Experience working on mobile-first or mobile product environments
• Proficiency in English (advanced level)
• Strong requirements elicitation skills using BA elicitation techniques (interview, document analysis, prototyping, observation, requirements workshops, brainstorming, etc.)
• Understanding of requirements' classification (business, stakeholder, solution) and ability to communicate them to stakeholders
• Ability to define design options and recommend the solution
• Experience in process analysis and modeling (as…is and to..be states) using graphical notations
• Strong knowledge of requirements management and project tracking tools (Jira, visualization tools)
• Understanding of SDLC
• Familiarity with Market Analysis and User Personas creation

Nice to have

• Business analysis certifications
• Be able to understand complex data structures and identify necessary changes
• Understanding of API integration principles

What you’ll get at Syndicode

• 15 days of vacation, 11 holidays, and 20 sick leave days per year
• Fully remote position
• Educational support and professional growth opportunities
• Continuous feedback and transparent communication
• Opportunity to influence processes and product decisions
• Self-management and flexible working approach
• Dynamic, fast-growing environment

​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. Since 2016, we have been committed to transforming ambitious projects into reality, creating our own products, and supporting others in their development.

We are looking for a highly skilled Data Scientist with a strong background in Python, NLP, machine learning, and deep learning frameworks, as well as experience in computer vision tasks. This role offers an opportunity to work on innovative AI-driven projects in a dynamic and experienced team.

THAT WOULD BE WONDERFUL IF YOU HAVE:

• At least Bachelor’s degree in Computer Science or related field;
• At least 1,5 years of real-world experience in implementing data science and NLP projects;
• Strong Python knowledge;
• Strong knowledge of classical algorithms and data structures;
• Strong knowledge in linear algebra, geometry, calculus, probability theory and statistics;
• Experience with Machine Learning libraries like NumPy, Pandas, ScikitLearn;
• Experience with NLP and Time Series forecasting;

• Experience with generative models (e.g., GPT, Gemini) is a strong advantage;

• Experience with LLMs (e.g., for sentiment analysis, prompt tuning), OpenAI API (incl. fine-tuning and structured output);
• Practical experience with at least one Deep Learning framework like Keras, Tensorflow, PyTorch;

• Basic Git proficiency;
• English — Upper-Intermediate.

WOULD BE A PLUS:

• Experience with LangChain and RAG pipelines;

• Good knowledge and experience with some of the well-known neural networks architectures such as: Yolo, U-Net, MobileNet, ResNet, R-CNN;
• Active Kaggle participation;
• Docker;
• Microsoft Azure or AWS.

ADVANTAGES FOR A CANDIDATE:

• Stable and competitive salary.
• Official employment under a gig contract.
• Work in a cool & experienced team.
• Useful & exciting project.
• Up to 26 Days Off per year at your convenience.
• Convenient office in Vinnytsia or an opportunity to work remotely.
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program.
• Excellent opportunities and prospects for professional growth in a company with a 9-year history.

Azzurro.io is looking for ML Engineer.

Location: Remote (Company based in Seattle)

About the Client: Our client partners with brands to improve their sales and visibility on Amazon through optimized advertising campaigns and keyword strategies. Using data-driven insights, they help clients increase their impact in the marketplace.

Role Overview: As a Data Scientist, you'll build predictive models using time series data (e.g., product ranks, keyword performance, ad campaigns) to help optimize our client’s Amazon strategies. You’ll analyze, clean, and transform data to train ML models that improve ad performance and drive sales.

Responsibilities:

• Predictive Modeling: Develop and refine models to analyze product rankings and campaign performance.
• Data Preparation: Extract, clean, and transform large datasets for analysis and modeling.
• Regression Analysis: Build regression models to forecast trends and improve keyword strategies.
• Model Optimization: Use techniques like feature engineering and hyperparameter tuning to improve model performance.

Tech Stack:

• Core Technologies: AWS, MySQL, Python.
• Data & ML Tools: Python libraries (NumPy, pandas), frameworks (e.g., TensorFlow or similar).

Qualifications:

• Strong background in analytics, mathematics, and experience with time series data.
• Proficiency in Python, including data libraries (NumPy, pandas) and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience building regression models and optimizing predictive algorithms.
• Working knowledge of SQL for querying large datasets.
  
  P.S. please pay your attention that this position is open in Azzurro.io company, not Pics.io.

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a BI Engineer, you will prepare and structure data for reporting, build data models, and ensure accurate and reliable dashboards. 
You will work closely with analysts and data engineers to support business reporting and analytics needs.

Requirements

• Proficiency in Power BI: Power Query, DAX, Data modeling, Incremental refresh
• Strong SQL skills for querying and optimizing large data sources (CTEs, window functions)
• Experience with version control system (Git)
• Experience in designing and implementing data models
• Understanding of cloud platforms (AWS Athena)
• Knowledge of data validation, reconciliation, and anomaly detection techniques

Your Responsibilities

• Provide clean, transformed data from databases ready for analysis and reporting
• Build, maintain, and optimize BI datasets and data models
• Perform data quality validation, reconciliation, and anomaly detection
• Optimize BI report performance and data refresh processes
• Collaborate with Data Analysts and Data Engineers to ensure consistent and reliable data

Nice to Have

• Experience in gaming or other high-load products
• Experience using Python for data analysis

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work

Product Analytics are at the forefront of understanding how our audiences interact with their brand, working to create richer, more personalised experiences that the audiences love.  

As a Lead Product Analyst you will lead a diverse team of product analysts to produce insights that will drive digital product strategy, working closely with colleagues and stakeholders across Product, Engineering, Data Science and more. 

Main responsibilities 

Reporting to the Head of Product Analytics, you will: 

• Partner closely with Product Managers, Product Analytics and Product Teams to understand metrics requirements, translate them into actionable analytics needs, and develop dashboards and self-serve tools that empower teams to make data-informed decisions.
• Grow and lead a diverse team of analysts to deliver high-quality, actionable insights, fostering an inclusive and collaborative culture where all individuals can contribute fully.
• Champion data-driven decision making across the Product Group, advocating for experimentation, measurement, and insight-led product development.
• Lead deep-dive analyses that inform product strategy and roadmap decisions, identifying opportunities to optimise audience experience, engagement, and impact.
• Drive cross-functional collaboration and evangelise the value of data across teams, shaping and improving data analysis capabilities and self-service functionality across the organisation.
• Ensure data quality, consistency, and governance by aligning metric definitions, maintaining KPI glossaries, and validating tracking accuracy across tools such as Piano and browser network analyses.
• Communicate complex analytical findings through clear, visual storytelling, translating technical insights into narratives that inform and influence non-technical stakeholders.
• Maintain strong documentation practices to support continuity, transparency, and the future development of front-end (FE) analytics capabilities.
• Operate within agile delivery frameworks e.g. 2 week delivery with continuous refinement, and iterative development of analytics solutions.
  
  Essential

• Experience leading and managing a team of data analysts, developing individuals and teams to achieve their full potential and driving value through data and insight (2+ years)
• 4 years of experience in an analytical role, preferably in digital products
• Experience working in a fast-paced environment in order to deliver insights that can influence the direction of the business
• Great communication skills and the ability to translate technical information for non-technical audiences at all levels of the organisation 
• Ability to think strategically and a passion for producing high-quality, accurate analytics deliverables 
• Ability to build and maintain strong working relationships with colleagues and stakeholders across multiple disciplines, managing expectations of senior colleagues and navigating conflicting priorities and pressures
• High levels of logical thinking and problem solving skills
• A keen advocate for the role of data in driving business performance
  
  Will be a plus:
   
• Familiarity with agile or other rapid application development methods
• Understanding of data pipelines and/or data modelling
• Experience with Data Science & Machine learning
• Knowledge of R or Python
• Experience working in a digital product focused analytical role in a customer-centric organisation 

Business

Digital marketing agency that specializes in enhancing the digital presence and growth of automotive dealerships nationwide. Initially, they focused on supporting their service teams through automation tools and have since expanded to develop and sell white-label, productized services to their partners. Their mission is to deliver high-quality tools that meet the needs of their partners, leveraging their expertise in digital marketing to drive significant improvements and efficiencies in the automotive sector. The agency places a strong emphasis on building scalable, functional tools and fostering team growth through continuous improvement and collaboration.
 

Requirements

Client seeking a skilled Data Engineer with experience in architecting scalable data solutions using Amazon Web Services (AWS). This role will focus on building and maintaining data infrastructure to support our customer-facing tools, ensuring data is efficiently stored, processed, and available for analytics.

Overlap with EST is required
 

Key Responsibilities:

• Data Architecture Design: Architect, develop, and maintain scalable and robust data architectures using AWS services such as Amazon S3, RDS, Redshift, and EMR.
• ETL Processes: Design and implement ETL processes using AWS Glue, ensuring data is clean, reliable, and available for analysis.
• Data Pipeline Management: Develop and manage data pipelines using tools like Amazon Kinesis and AWS Lambda for real-time and batch processing.
• Database Management: Optimize databases using Amazon RDS and Redshift, ensuring data integrity, security, and performance.
• Data Lake Management: Utilize Amazon S3 for building and managing data lakes to store structured and unstructured data.
• Collaboration: Work closely with software engineers, data scientists, and product managers to ensure data solutions meet business requirements.
• Security and Compliance: Implement security best practices and ensure compliance with industry standards and regulations.
• Monitoring and Optimization: Implement monitoring tools and strategies to optimize the performance of data systems.
  
   

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: Minimum of 5 years in data engineering roles with experience in AWS services. Proven track record in building scalable data architectures.
• Technical Skills: Proficiency in AWS tools (e.g., S3, RDS, Redshift, Glue), data processing frameworks (e.g., Apache Spark, Hadoop), and programming languages (e.g., Python, SQL).
• Analytical Skills: Strong problem-solving abilities and a data-driven mindset. Experience with performance tuning and data optimization.
• Communication Skills: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams.
• Attention to Detail: High attention to detail and a commitment to delivering high-quality solutions.

Additional requirements

• Certifications: AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, or similar certifications.
• Domain Knowledge: Experience in the automotive industry or digital marketing sector.

Additional Skills: Familiarity with machine learning models and integration with customer-facing applications.

We are seeking a Data Analyst (Web/Mobile Marketing Analyst) to build and scale a unified analytics foundation for our mobile and web subscription products. You will consolidate marketing, product, and financial data to provide actionable insights that drive user acquisition efficiency, improve monetization, and support strategic product decisions.

This role is ideal for an analytical professional who thrives at the intersection of marketing analytics, product data, and subscription economics, and who is comfortable working cross-functionally with UA managers, Product Managers, Data Engineers, and leadership teams.

Requirements
 

• Experience with subscription-based mobile and web products (subscriptions, in-app purchases, web2app, web2web).
• Strong SQL and Python skills.
• Experience with BI tools (Looker Studio, Tableau, or similar).
• Experience with subscription analytics platforms (AppHud / Adapty / RevenueCat).
• Experience with attribution systems (AppsFlyer / Adjust or similar).
• Experience analyzing paid traffic (Meta Ads, Google Ads, ASA, etc.): CTR, CPC, CPA, ROAS, LTV, CAC, payback.
• Experience with analyzing product and unit economics metrics: LTV, ARPU/ARPPU, Retention, Conversion, Churn, CAC, ROI/ROAS, payback.
• Understanding of DWH and data mart design principles; experience collaborating with Data Engineers (layers, keys, schemas).
  
   

Responsibilities
 

• Analyze the performance of paid marketing channels (Meta, TikTok, Google Ads, ASA, etc.): CAC, CTR, CPC, CPA, ROAS, LTV by channel/country/campaign.
• Evaluate the contribution of different traffic sources, creatives, and audiences to monetization and user retention.
• Analyze core product metrics of mobile apps: LTV, ARPU, Retention, Conversion, Churn, and cohort-based user behavior.
• Generate and validate hypotheses to improve monetization, retention, and user acquisition efficiency based on data.
• Design, write, and maintain SQL queries for the DWH to support regular reporting, ad-hoc analysis, and BI dashboards.
• Participate in data architecture and data mart design with Data Engineers: define required tables, relationships, metrics, and data SLAs.
• Configure and develop dashboards in Looker Studio / Tableau for product, marketing, and executive teams.
• Ensure data quality: monitor correctness of integrations (AppsFlyer, AppHud, ad platforms), track data lags, gaps, duplicates, and anomalies.
• Collaborate with UA, PMM, Product Managers, and C-level stakeholders: help shape analytical requests, propose relevant metrics and reporting formats.

Description:

Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home, and enhance every life.

Minimum Requirements:

• Minimum of 4 years of experience in SQL and Python programming languages, specifically for data engineering tasks.
• Proficiency in working with cloud technologies such as Azure or AWS.
• Experience with Spark and Databricks or similar big data processing and analytics platforms
• Experience working with large data environments, including data processing, data integration, and data warehousing.
• Experience with data quality assessment and improvement techniques, including data profiling, data cleansing, and data validation.
• Familiarity with data lakes and their associated technologies, such as Azure Data Lake Storage, AWS S3, or Delta Lake, for scalable and cost-effective data storage and management.
• Experience with NoSQL databases, such as MongoDB or Cosmos, for handling unstructured and semi-structured data.
• Fluent English

Additional Skillset (Nice to Have):

• Familiarity with Agile and Scrum methodologies, including working with Azure DevOps and Jira for project management.
• Knowledge of DevOps methodologies and practices, including continuous integration and continuous deployment (CI/CD).
• Experience with Azure Data Factory or similar data integration tools for orchestrating and automating data pipelines.
• Ability to build and maintain APIs for data integration and consumption.
• Experience with data backends for software platforms, including database design, optimization, and performance tuning.

Job responsibilities:

• Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process data quickly at big-data scales
• Responsible for the design and implementation of data integration pipelines
• Contributes design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, data extraction, transformation, and loading across multiple data storages
• Take part in the full cycle of feature development (requirements analysis, decomposition, design, etc)
• Contribute to the overall quality of development services through brainstorming, unit testing, and proactive offering of different improvements and innovations.