Jobs Data & Analytics

We are looking for you!
 

As we continue to design and build data-driven solutions across diverse domains — we’re seeking a Data Engineer who thrives on transforming data into impactful insights. If you’re passionate about crafting robust architectures, optimizing data pipelines, and enabling intelligent decision-making at scale, we’d love to have you join our global team and shape the next generation of data excellence with us.

Contract type: Gig contract.

Skills and experience you can bring to this role
 

Qualifications & experience:
 

• 3+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python and data stack (NumPy, Pandas, scikit-learn);
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Hands-on experience with Python web stack (Fast API / Flask);
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred.

What impact you’ll make 
 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; and
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 
 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for Data Scientist to join a Data Team working on innovative AI-driven products. 
 

These roles focus on building AI-powered solutions that solve real business challenges and deliver personalized customer experiences. The team leverages Generative and predictive AI to enhance customer journeys and automate operational processes.

Responsibilities:

• Collaborate closely with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI and Generative AI solutions
• Drive the adoption of Generative AI across the organization by building solutions using LLMs, embeddings, and RAG architectures
• Work directly with business stakeholders to translate requirements into production-ready AI systems
• Monitor and optimize model and system performance, applying best practices in Data Science, MLOps, and LLMOps
• Continuously improve prompts, models, and pipelines to maximize business impact
• Stay up to date with advancements in LLMs, RAG frameworks, and GenAI technologies to drive innovation

Requirements:
Must-have:

• 5 years of experience in Data Science or Applied Machine Learning
• Strong proficiency in Python and SQL
• Experience building and deploying machine learning models
• Hands-on experience with Generative AI, including:

• Embeddings
• Vector search
• RAG-style architectures
• NLP or transformer-based models
  • Understanding of advanced model evaluation methods (ranking, relevance, retrieval quality, etc.)

Nice to have:

• Experience with Snowflake
• Knowledge of AWS cloud services
• Experience with LLMOps (prompt and version management, monitoring, evaluation frameworks)

We are looking for you!

We’re building a new kind of enterprise system - the one that doesn’t just automate workflows, but understands business intent and drives measurable business outcomes.

As an AI Engineer on this team, you’ll help design and build the agentic reasoning infrastructure behind this vision - systems that can interpret strategic “end games,” generate executable playbooks, and coordinate actions across real enterprise environments.

This is a hybrid role at the intersection of product engineering and applied AI research.

You’ll be contributing to a production-grade platform while also exploring the boundaries of autonomous agents, text-to-agent pipelines, and multi-agent collaboration frameworks.

Contract type: Gig contract.

Skills and experience you can bring to this role!

Qualifications & experience:
 

• You love writing Python code,  3+ years of experience in commercial development with a track record of AI-focused projects launched and proven in production environments;
• Experience using or developing with large language models (OpenAI, Anthropic, Ollama, etc.);
• You have hands-on experience with context engineering, vector databases, RAG, and MLOps and you have applied the majority of the listed things to implement user-facing software;
• Hands-on exposure to agentic frameworks (LangGraph, Google ADK, CrewAI, Haystack, etc.) or planning systems;
• Comfortable reading, implementing, and adapting ideas from current AI/ML research papers - e.g., tool-use, hierarchical planning, cooperative agents;
• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years.

Nice to have: 
 

• You are an active proponent and practitioner of agentic coding;
• You have experience in data engineering, particularly in building data pipelines;
• You have built ML solutions and used available services & tools and/or built bespoke ML models;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You have front-end experience building UIs to demonstrate solutions end-to-end or are open to gaining such.

What impact you’ll make
 

• Design and implement multi-agent planning systems capable of decomposing high-level goals into executable workflows;
• Build the reasoning and orchestration engines that integrate LLMs, rule-based logic, and structured enterprise data;
• Prototype and productionize text-to-agent pipelines transforming natural language goals into agent teams and executable plans;
• Research and experiment with emergent agent behaviors, including coordination, role specialization, and collective decision-making (“agentic swarms”);
• Develop the Playbook module and runtime that translate strategic intent into safe, executable instructions;
• Build and evaluate LLM-driven tool-use frameworks for secure interaction with APIs, databases, and applications;
• Contribute to closed-loop learning systems where agents observe KPI feedback, adapt workflows, and self-improve.

What you’ll get

Regardless of your position or role, we have in place a wide array of benefits including flexible working (hybrid/remote models) and generous time off policies to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive rewarding and compensation package, intellectually and creatively stimulating space and some more.

Your holistic wellbeing is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

Please note that we consider only candidates who are located in Ukraine.

Responsibilities:

- Provide analytical support throughout the development of new product features — from discovering insights and product ideas in data, designing the required technical logs and DWH tables, to presenting analysis results to key stakeholders;

- Work collaboratively with product managers and engineers to ensure the right data is generated and collected;

- Own the design, development, and maintenance of ongoing dashboards and their underlying data sets;

- Monitor key metrics, and identify business trends;

- Present product and customer data-driven insights to product management and senior leadership — influence change with the outcome of your analysis and make recommendations to executives and team leaders;

- Lead deep-dive analysis that will frame product strategy and product roadmap decisions

Requirements:

- 5+ years of experience in an analytical role;

- Advanced SQL skills, ability to perform optimized querying involving multiple tables and subqueries;

- 3+ years of practical experience with BI tools (Looker/Tableau/etc), ability to leverage multiple data sources;

- Ability to work with a large amount of data, create reports, and recognize patterns;

 - Self-motivation, proactively going beyond the call of duty;

- The ability to work comfortably in a constantly evolving environment;

- Excellent written and verbal communication skills;

- English language proficiency — B2 is the minimum.
 

Would be a plus also:
 

• A/B testing experience;
• Proficiency in Airflow for workflow orchestration;
• Programming experience with Python or R.
   

What we offer:
 

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social package, including sports coverage, elite medical insurance for you and family;
• 20 working days paid vacation and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place.
   

INFOBUS Holding is an international IT company founded in 2002.
We develop technologies that automate the passenger transportation market and simplify travel for millions of people worldwide.
 

Our Products:
🔹 Bussystem.eu — a universal SaaS system for ticket booking and passenger transportation management
🔹 INFOBUS.eu — a marketplace for selling bus, train, and flight tickets

We are currently looking for a Data Analyst to join our team and help us make data-driven decisions that move our products forward.
 

What You’ll Be Doing:

• Develop and optimize SQL queries in BigQuery with a focus on performance and cost efficiency. Maintain and improve existing SQL solutions.
• Implement and perform ad-hoc tasks to help requestors make better decisions.
• Work with other parties of the company to understand and translate their needs into data-driven solutions (reports, dashboards, etc.).
• Develop and maintain dashboards in Looker Studio.
• Maintain documentation for data sources, dashboard logic, etc.
   

What’s Important:

• 2+ years of experience in data analytics
• Advanced skills in SQL (BigQuery), Looker Studio (Tableau, Power BI)
• Experience with Google Analytics
• Strong problem-solving and analytical thinking skills
• Ability to identify key business needs and think critically
• Attention to detail, maintaining clean, consistent, and accurate data
• Ability to work independently, take ownership of projects, and deliver effectively

What We Offer:

• Work in an international product company with ambitious tasks
• Remote format + flexible schedule
• A team that values quality, initiative, and transparency
• A product that makes a real impact on millions of users
   

Interested in this opportunity? Send us your CV! 🚀

Description

🟢 At Dev.Pro, we work on projects that impact millions of people around the world — but we know it’s the people behind the tech who make it all happen. We truly value what makes each person unique and are building a workplace that’s inclusive, friendly, and supportive.

We invite an Intermediate Business Analyst to join our team and help shape practical solutions that improve internal systems and workflows. You’ll be actively involved in developing a new portal for Recruiters and supporting enhancements to existing internal platforms. In this role, you’ll work across the full product lifecycle, gathering requirements, designing solutions, collaborating with cross-functional teams, and supporting delivery of key initiatives.

🟩 What's in it for you:

• Shape practical solutions that improve internal systems and solve real business problems
• Gain full product lifecycle experience, working with requirements, designing solutions, and balancing business value with delivery
• Receive personalized mentorship, guided professional development, and join a supportive BA community that shares knowledge and best practices

✅ Is that you?

• 1.5+ years of hands-on experience as a Business Analyst
• Practical experience eliciting, analyzing, validating, and documenting requirements
• Basic knowledge of prototyping, mockups, and diagramming (Figma, Balsamiq)
• Solid understanding of Agile methodologies (Scrum, Kanban) and ceremonies
• Experience using AI tools to automate routine BA tasks
• Strong analytical skills to identify root causes and propose effective solutions
• High attention to detail to ensure complete, consistent, and accurate requirements
• Effective communication and collaboration with cross-functional teams, including technical and non-technical stakeholders
• Autonomy, proactivity, initiative in learning, asking questions, and suggesting process improvements
• Intermediate+ English level

Desirable:

• Experience working on CRM or ERP implementations
• Ability to support feature design, development, and delivery
• Ability to identify risks throughout the requirements lifecycle

🧩Key responsibilities and your contribution

In this role, you’ll work closely with stakeholders and cross-functional teams to gather requirements, refine solutions, and support delivery.

• Elicit, analyze, and validate requirements through meetings/workshops with business and technical stakeholders
• Document requirements as user stories and prepare them for development
• Collaborate with the Product Owner, Project Manager, and development team to refine solutions
• Participate in backlog refinement, planning, prioritization, and scope management
• Support development and QA teams by clarifying requirements during implementation
• Review and validate deliverables during demo sessions
• Create mockups and wireframes, and work with UI/UX teams to refine and finalize designs
• Ensure solutions align with existing systems and integrations
• Propose solutions that balance business needs, budget, timeline, and development effort

🎾 What's working at Dev.Pro like?

✔️ 30 paid days off each year — use them for vacation, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for major family events like weddings, funerals, or the birth of a child
✔️ Fully covered health insurance, plus a wellness bonus for things like gym memberships and sports gear
✔️ Grow your career with English classes, online courses, conferences, and the chance to explore new roles
✔️ Support for pregnancy, maternity leave, and military service
✔️ Fun virtual events and team-building activities to stay connected
✔️ Full support for your tech, workspace setup, and accounting needs — we’ll make sure you’re equipped to do your best work

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities
 

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

   

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

   

• Experience with microservices architecture, API design, and distributed systems

   

• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

   

• Knowledge of database design and data modeling for transactional systems

   

• Understanding of integration patterns, message queues, and event-driven architectures

   

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

   

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

   

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

   

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

• Knowledge of database design and data modeling for transactional systems

• Understanding of integration patterns, message queues, and event-driven architectures

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation

   

• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets

   

• Familiarity with KYC/AML processes and regulatory compliance requirements

   

• Understanding of financial data security standards (PCI DSS, GDPR)

   

• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities

• Strong technical writing skills with attention to detail

• Ability to translate complex business requirements into technical specifications

• Experience with UML, BPMN, or similar modeling notations

• Proficiency with documentation tools (Confluence, Notion, or similar)

• Experience with requirements management and traceability

Skills will be a plus:
 

• Experience with white-label or multi-tenant system architectures

• Knowledge of blockchain and cryptocurrency integrations

• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)

• Experience with performance testing and system optimization

• Understanding of DevOps practices and CI/CD pipelines

• Previous experience with modular platform architecture

• Knowledge of financial compliance and audit requirements

• Experience with data migration and system integration projects

Project description:

Fintech Core is a white-label modular fintech solution designed for rapid creation and launch of digital banking and payment products. It provides a comprehensive, turnkey platform that enables businesses to build neobanks, digital wallets, payment systems, and other fintech products within 3 months rather than years. The solution includes a complete technology stack: a robust general ledger platform, middleware layer, customizable frontend applications for iOS/Android/Web, and extensive third-party integrations for KYC, payments, card issuance, and compliance. Unlike traditional SaaS offerings, Fintech Core provides full access to source code, eliminating vendor lock-in and enabling deep customization.

The platform is built on microservices architecture with modular components that can be independently scaled and customized. It supports multi-currency operations, cross-border payments, card issuing, account management, transaction processing, compliance monitoring, and back-office orchestration. The solution is PCI & DSS compliant and designed to meet regulatory requirements across multiple jurisdictions.

Project stage: Active development and continuous enhancement. The platform is mature with multiple successful implementations but undergoes constant evolution to incorporate new regulatory requirements, payment integrations, and fintech capabilities. Quality, scalability, and compliance are paramount priorities.

The size and the structure of the PROJECT team:

Cross-functional team including Product Owners, Business Analysts, System Analysts, Frontend/Backend Developers, QA Engineers, DevOps, Security Specialists, and Compliance Consultants. The team operates in an Agile environment with close collaboration between technical and business functions.

We are looking for a Middle System Analyst to join the Fintech Core project — a white-label modular fintech platform enabling rapid launch of digital banking and payment products. In this role, you will define system architecture, integration designs, and technical specifications for a scalable, PCI DSS–compliant financial platform serving multiple global implementations. You will work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical documentation, ensuring high-quality, secure, and compliant system design across microservices-based architecture.

Details

Project: Fintech Core (White-label Digital Banking Platform)

Employment Type: Full-time

Start Date: ASAP

Work Format: Remote

Language Requirements: English – Upper-Intermediate+

About the Project

Fintech Core is a mature, actively evolving modular fintech platform designed to launch neobanks, digital wallets, and payment systems within 3 months.

The platform includes:

• General ledger system
• Middleware layer
• Mobile (iOS/Android) & Web applications
• Integrations with KYC/AML providers, card issuers, payment processors
• Compliance monitoring modules
• Built on microservices architecture, the platform supports:
• Multi-currency operations
• Cross-border transactions
• Card issuing
• Digital wallets
• Account & transaction management
• Back-office orchestration
• The solution is PCI DSS compliant and aligned with global regulatory frameworks.

Key Responsibilities

• Analyze and document system requirements across payments, cards, wallets, accounts, ledger, and compliance modules

• Translate business requirements into:

  Technical specifications

  API contracts (REST / OpenAPI)

  Database schemas

  Integration architectures

• Design data models, ER diagrams, and data flow diagrams for transactional systems

• Define integration patterns with:

  Payment processors

  KYC/AML providers

  Card networks

  Open Banking platforms

• Create sequence diagrams, component diagrams, and deployment architecture documentation
• Define non-functional requirements (performance, security, audit, retention policies)
• Conduct technical workshops with Engineering teams
• Maintain traceability between requirements, specs, implementation, and testing
• Support QA with integration test scenarios and acceptance criteria
• Ensure compliance with PCI DSS, GDPR, PSD2 and financial security standards
• Participate in sprint planning and architecture review sessions

Requirements

• 3+ years experience as System Analyst / Technical Analyst in fintech or banking
• Strong understanding of: General ledgers, Payment processing, Account management systems
• Experience with microservices architecture and distributed systems
• Strong API design knowledge (REST, OpenAPI/Swagger, webhooks)
• Experience with database modeling for transactional systems
• Understanding of event-driven architectures and message queues
• Familiarity with ISO 20022, SWIFT, SEPA, card schemes
• Knowledge of OAuth, JWT, API keys
• Cloud architecture understanding (AWS / Azure / GCP)
• Strong documentation skills (UML, BPMN, ERD, sequence diagrams)
• Experience with Confluence / Notion

Domain Knowledge

• Core banking concepts: accounts, balances, reconciliation
• Domestic and cross-border payment flows
• Card issuing and digital wallet mechanics
• KYC / AML processes
• PCI DSS & GDPR fundamentals

Nice to Have

• White-label / multi-tenant architecture experience
• Blockchain / crypto integrations
• PSD2 / Open Banking / MiFID knowledge
• Performance testing & system optimization
• DevOps & CI/CD understanding
• Modular platform architecture experience
• Financial audit & compliance exposure
• Data migration / integration project experience

Team Structure

• Cross-functional Agile team including:
• Product Owners
• Business Analysts
• System Analysts
• Backend & Frontend Engineers
• QA Engineers
• DevOps
• Security & Compliance Specialists

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.

Role Overview

Nucleus AI is seeking an AI / ML Data Scientist to help build and scale an AI-backed Learning Management System (LMS) that delivers personalized, adaptive learning experiences.

This is a hands-on, product-focused role at the intersection of machine learning, data science, and learning technology. You will design and deploy intelligent systems that directly impact learner engagement, personalization, assessment, and outcomes.

If you enjoy turning real-world data into models that are used by real users—and iterating on them in production—this role is for you.

Key Responsibilities

Machine Learning & Modeling

• Design, develop, and deploy machine learning models that power:
  • Personalized learning paths
  • Content and course recommendations
  • Learner analytics and insights
  • Adaptive assessments and feedback
     
• Build models for:
  • Learner skill inference and knowledge tracing
  • Engagement, completion, and drop-off prediction
  • Automated assessment scoring and feedback
     

Data & Analytics

• Analyze large-scale learner behavior data to extract actionable insights
• Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks
• Apply statistical analysis and experimentation (including A/B testing) to validate model performance and impact
   

Collaboration & Product Integration

• Work closely with product managers, engineers, and instructional designers to translate learning objectives into AI-driven solutions
• Integrate models into production systems via APIs, batch pipelines, or real-time inference
   

LLMs & Advanced Techniques

• Experiment with and integrate LLMs and NLP techniques for:
  • Content generation
  • Learner feedback
  • Intelligent learner support
     
• Monitor models in production for performance, bias, and drift, and continuously improve them
   

Documentation & Governance

• Document models, assumptions, experiments, and results to ensure transparency, reproducibility, and maintainability
   

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, or a related field
• Strong proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch)
• Solid understanding of:
  • Supervised and unsupervised learning
  • Feature engineering and model evaluation
  • Statistical analysis and experimentation
     
• Experience working with both structured and unstructured data
• Proficiency in SQL and working with large datasets
• Ability to clearly communicate complex technical concepts to non-technical stakeholders
   

Nice-to-Have Qualifications

• Experience building ML systems in ed-tech, LMS platforms, or learning analytics
• Familiarity with
  • Large Language Models (LLMs)
  • NLP
  • Recommendation systems
  • Knowledge graphs
• Experience deploying models to production environments
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Understanding of learning science, instructional design, or assessment theory
• Experience with MLOps tools (model versioning, monitoring, CI/CD for ML)
   

What We Offer

• Opportunity to work on mission-driven AI that improves how people learn
• Ownership of ML systems used by real learners at scale
• A collaborative, cross-functional team culture
• Competitive compensation and benefits
• Flexible work location and schedule
• Continuous learning and professional growth opportunities

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

About the Role

We’re looking for a scrappy, AI-native Growth Engineer who thrives in high-autonomy environments and knows how to build scalable experimentation systems that drive real revenue impact.

This is not a “marketing” role.
We want a builder-operator who thinks in systems, automation, and measurable outcomes.

You should:

• Be comfortable leveraging AI tools (e.g., Claude) to 10x your output
• Have a track record of running measurable growth campaigns
• Think like a builder and operator — not just a marketer
• Get energized by improving metrics
• Be highly independent and execution-focused

Entrepreneurial backgrounds (e-commerce, dropshipping, solo SaaS, side projects, digital products) are highly valued.

What You’ll Do

AI-Powered Growth Systems

• Build workflows that generate, test, and iterate on hundreds of creative assets
• Use AI to scale paid ads, SEO, and landing page experimentation
• Automate creative production and performance analysis loops

Full-Funnel Experimentation

Own the complete growth cycle:

• Launch campaigns
• Measure performance
• Optimize for ROI
• Run paid acquisition campaigns (primarily targeting doctors)
• Develop referral loops and scalable growth infrastructure

 Strategy & Execution

• Work directly with the CEO to translate high-level strategy into actionable experiments
• Provide data-driven feedback to shape messaging and positioning
• Develop templated assets and repeatable growth playbooks

Analytics & Optimization

• Analyze full conversion funnels using tools like PostHog
• Identify bottlenecks and optimize LTV/CAC
• Turn insights into rapid experimentation cycles

Required Experience

• 2+ years of direct, hands-on growth experimentation
  (Entrepreneurial projects and side hustles count)
• Experience running paid ads and/or UGC campaigns with measurable outcomes
• Proven ability to build systems — not just execute isolated campaigns
• Comfortable operating independently with high ownership
• Strong analytical mindset

Tech Stack

• Claude
• PostHog
• HeyGen
• Figma
• Apollo.io
• Exa

Why Join?

• High ownership from day one
• Direct access to CEO and founding team
• Meaningful equity (1.0%–1.5%)
• Build the growth engine of a category-defining healthcare company
• Real autonomy, real impact

Interview Process

1. Application review & screening
2. Hiring manager interview (CEO)
3. Portfolio & campaign review
4. Final interview

We are seeking a Senior Data Engineer to deliver data-driven solutions that optimize fleet utilization and operational efficiency across 46,000+ assets in 545+ locations. You will enable decision-making through demand forecasting, asset cascading, contract analysis, and risk detection, partnering with engineering and business stakeholders to take models from concept to production on AWS. 

Requirements 

• 5+ years of experience in data engineering 
• 3+ years of hands-on experience building and supporting production ETL/ELT pipelines 
• Advanced SQL skills (CTEs, window functions, performance optimization) 
• Strong Python skills (pandas, API integrations) 
• Proven experience with Snowflake (schema design, Snowpipe, Streams, Tasks, performance tuning, data quality) 
• Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, Step Functions 
• Strong understanding of dimensional data modeling (Kimball methodology, SCDs) 
• Experience working with enterprise systems (ERP, CRM, or similar) 

Nice-to-haves 

• Experience with data quality frameworks (Great Expectations, Deequ) 
• Knowledge of CDC tools and concepts (AWS DMS, Kafka, Debezium) 
• Hands-on experience with data lake technologies (Apache Iceberg, Parquet) 
• Exposure to ML data pipelines and feature stores (SageMaker Feature Store) 
• Experience with document processing tools such as Amazon Textract 

Core Responsibilities 

• Design and develop ETL/ELT pipelines using Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign 
• Build and maintain dimensional data models in Snowflake using dbt, including data quality checks (Great Expectations, Deequ) 
• Implement CDC patterns for near real-time data synchronization 
• Manage and evolve the data platform across S3 Data Lake (Apache Iceberg) and Snowflake data warehouse 
• Build and maintain Medallion architecture data lake in Snowflake 
• Prepare ML features using SageMaker Feature Store 
• Develop analytical dashboards and reports in Power BI 

What we offer   

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 
   

Вимоги до володіння мовами

Англійська

B1 – Середній

Українська

Носій мови
 

Про компанію Trinetix

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. 

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. 

Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics. 

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice 

Junior Data Scientist/Quant Researcher Internship — 
Your Entry Point Into the World of High-Frequency Trading

Are you passionate about data analysis? Do you thrive on competitions, love solving unconventional problems, and want to test yourself in an industry where every nanosecond counts?

Join us for a paid internship at Atto Trading — an American HFT firm that builds high-frequency trading algorithms for U.S. financial markets.

💼 About Atto Trading — Where Engineering Meets Finance

Atto Trading is an American tech-driven trading company that builds and runs high-frequency, algorithmic strategies on financial markets.
 

We’re a small, focused team of engineers, traders, and researchers who:

• 💡 Turn ideas into profitable strategies
• 🇺🇸 Operate on U.S. financial markets
• 🧠 Constantly learn and tackle hard technical challenges together
• 🛠 Build ultra-fast, rock-solid software
   

As an intern, you won’t be stuck on side tasks — you’ll be a real part of the engineering team from day one.

🧠 During the internship, you will do:

• Analyze large datasets of market data using Polars, SQLAlchemy, scikit-learn, etc
• Build ipynb reports and interactive visualizations using Bokeh or Shiny-Plotly that provide real value
• Work with private analytical tools to create pipelines for subindicator generation
• Collaborate with engineers, traders, and analysts in a real-world business environment
   

📌 Program Details

• 🗓 Duration: 4 weeks, summer (August)
   
• 📍 Location: Ukraine in-office (Lviv) 
   
• 💼 Format: Paid internship
   
• 🏆 One top-performing intern will be offered a full-time or part-time role (depending on academic commitments)
   
• 🎁 The selected intern will receive an iPad as part of the welcome package from Atto Trading
  
   

This is a unique opportunity to gain real-world experience in high-frequency trading (HFT) — where analytics, precision, and speed determine success.

Please note: This internship is intended for candidates located in Ukraine. 

Please briefly describe your key achievements (academic, project-based, volunteer, or personal) in your CV.

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.
The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

Requirements

4+ years of Business Analyst experience.
Experience working in Agile/Scrum process, understand and promote Agile Manifesto values
Good analytical skills.
Good relationship-building, facilitation, communication, and presentation skills.
Strong knowledge of Business Analysis foundation theory.
Good understanding of software development lifecycle e.g., planning and analysis, designing the product architecture, developing and coding, testing, etc.
Proactivity, strong prioritization, and time management skills
At least an upper-intermediate level of English.

Job responsibilities

Responsible for developing and owning all documentation capturing business and functional requirements
Collaborate with cross-functional teams to design and propose business solutions
Communicating with stakeholders to clarify needs and align expectations
Engage with the client to understand/develop/articulate business requirements
Develop business and functional product knowledge and expertise for engaged clients to complement product engineering and design
Engage with the client to influence and steer decision-related to Product Strategy/Design based on market and customer requirements
Сollaborate with internal teams to develop product based on industry trends and customer needs
Gathering, analyzing, and prioritizing business and system requirements
Writing and refining ADO user stories; supporting the development team during sprints
Applying requirements elicitation and analysis techniques, including UML modeling, use case analysis, Gherkin language, BPMN, and stakeholder interviews
Developing and maintaining documentation, including System Requirements Specification (SRS) templates, diagrams, and calculation templates in Excel