Jobs Data & Analytics

Company: Native (voice AI, live avatar AI, and sovereign supercomputer architecture)
Employment type: Full-time
Start date: April 2026
Experience level: Middle, Senior
About the project:
We're developing cutting-edge products in:
Voice AI systems
Live avatar AI technology
Sovereign supercomputer architecture
We're looking for:
AI developers and engineers with proven experience in AI systems development and strong coding skills to join our growing team.
Requirements:
Hands-on experience with AI systems (specify which systems in your application)
Proficiency in relevant programming languages (please specify your tech stack)
Portfolio or examples of previous AI projects
Ability to start in April 2026
Please include:
Your experience with specific AI systems
Programming languages and frameworks you work with
Examples of relevant projects
Timeline:
Application review: February-March 2026
Position start date: April 2026

Company: German E-Commerce BI Solutions Provider
Engagement: Part-time to start, with clear expansion potential

About Us

We are a German-based provider of Business Intelligence solutions for the e-commerce sector. Our mission is to enable data-driven decision-making for online businesses through scalable data architectures, robust analytics pipelines, and actionable insights.

To strengthen our data team, we are looking for a hands-on Data Engineer who enjoys building reliable data pipelines and working at the intersection of engineering and analytics.
 

Your Role

As a Data Engineer, you will design, build, and maintain scalable data pipelines and data models that power our BI and analytics solutions for e-commerce clients. You will work closely with analytics, product, and business stakeholders to ensure high data quality and availability.

This role starts as a part-time engagement with strong potential to grow into a larger scope as the collaboration evolves.
 

Responsibilities

• Design, develop, and maintain robust data pipelines using Python
• Transform and process data using Pandas DataFrames
• Write and optimize complex SQL queries (SQL proficiency is a core requirement)
• Build and maintain data workflows using orchestration tools (e.g., Dagster or similar)
• Work with cloud data warehouses (e.g., Amazon Redshift or similar technologies)
• Ensure data quality, reliability, and performance across pipelines
• Collaborate with BI and analytics teams to translate business requirements into technical solutions
• Continuously improve data architecture and engineering best practices
   

Must-Have Qualifications

• Minimum 4 years of professional experience with Python, including extensive hands-on experience with Pandas
• Strong, production-level SQL skills (natural prerequisite for the role)
• Solid understanding of data modeling and ETL/ELT processes
• Experience building and maintaining data pipelines in a professional environment
• Ability to work independently in a part-time setup and take ownership of deliverables
   

Nice-to-Have

• Experience with Amazon Redshift
• Experience with Dagster
• Experience with other SQL dialects beyond Redshift
• Experience with orchestration tools such as Airflow or similar
• Background in e-commerce, BI, or analytics-driven environments
• Familiarity with cloud-based data architectures
   

What We Offer

• Flexible part-time engagement with scalability toward a larger role
• Remote setup
• High impact in a growing e-commerce BI environment
• Opportunity to shape and improve modern data architecture
• Collaborative, pragmatic, and engineering-focused culture

We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration.

Details:
Senior AI/ML Engineer, ideally 5 years of experience. Ready to consider candidates starting with 3 years of experience, but they must be very strong in AI/ML.
Strong proficiency in English (Upper-intermediate level or Advanced)
Full-time
Location: any
Start: ASAP!

The role in a nutshell
You’ll work on improving production AI systems through evaluation, experimentation, and system design.

A large part of the role involves:

diagnosing failures in agent workflows
designing evaluation metrics and KPIs
improving system prompts and agent behavior
running structured experiments and measuring impact
You won’t be working in isolation on research projects — you’ll be improving systems that real users depend on.

Rough responsibility breakdown:

AI evaluation and KPI design — ~30%
Prompt and agent system design — ~30%
ML systems (recommendation, optimization, etc.) — ~30%
Engineering integration — ~10%

What you’ll work on:

AI evaluation and system quality

Design evaluation strategies for LLM and agent workflows
Create metrics and KPIs for AI system performance
Build and maintain evaluation datasets
Debug production AI failures systematically
Compare system behavior against baselines
This is a core responsibility of the role.

Multi-agent AI systems

Improve agent orchestration and workflows
Diagnose failures across agent pipelines
Refine system prompts and agent interactions
Improve reliability, latency, and response quality of ML and AI systems

You’ll contribute to areas such as:

Recommendation systems (ranking and personalization)
Itinerary optimization and constraint-based planning
LLM-based reasoning systems
Optional: computer vision pipelines
Depth in one of these areas is more important than superficial experience in all of them.

Engineering collaboration
We use:

Golang (primary production language)
Python when necessary for ML workflows
Postgres, Redis, and internal services
You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.
Backend engineers handle infrastructure-heavy service development — your focus is on AI system behavior and correctness.

What we’re looking for
Must-haves
1. Strong AI/ML fundamentals
You understand the theory behind what you build and can choose appropriate methods for a problem.
Examples:

evaluation metrics (precision/recall/F1/etc.)
ranking and recommendation concepts
embeddings and similarity
experimentation methodology

Not required:
academic publications
advanced theoretical math
large-scale model training experience

2. Evaluation-driven mindset You:

think in metrics and baselines
design experiments instead of guessing
measure system improvements quantitatively
debug failures methodically
This is the most important signal for the role.

3. Experience with LLM systems you’ve worked with:

prompt design
agent workflows
evaluation of LLM outputs
production LLM integrations

4. Ability to ship production systems
You can:

turn ideas into working systems
iterate based on results
balance exploration with delivery

5. Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Strong signals (nice to have)
Experience improving an AI system after deployment
Recommendation systems or ranking experience
Optimization or constraint-based systems
Computer vision experience
Experience building evaluation frameworks
Golang experience
Startup or small-team engineering experience

Come Back Agency supports US software and technology companies by running their hiring process. We work with delivery and leadership teams to define roles, screen candidates, and manage interviews. Successful candidates are hired directly by the company and become part of its team.
 

This position is with a US-based software company providing custom development and AI implementation for North American clients. The team builds and maintains production software, including AI-enabled systems, and works in long-term client engagements. Team members operate as part of an internal, distributed team and collaborate directly with client stakeholders.
 

*Advanced English is required. You must be able to communicate clearly in English with the US team in writing and on calls, explain your analysis, and defend recommendations
 

About the role:

This is not a client-facing role. You will analyze our numbers, benchmark competitors, and turn insights into weekly actions. Your goal is to help us get more qualified leads, improve conversion rates, and increase profit per project.
 

What you will do

• Marketing and competitor intelligence
• Track where competitors get leads and what channels they invest in, including Clutch, LinkedIn, SEO, paid ads, communities, partnerships, and marketplaces
• Analyze competitor positioning, offers, pricing signals, case studies, and landing page patterns
• Build a competitor dashboard and update it weekly or biweekly with changes, new campaigns, and new content
• Recommend practical experiments we can run based on competitor patterns and gaps
• Lead and pipeline analytics
• Create a single view of leads across website, PPC, LinkedIn, referrals, and outbound
• Report weekly on lead volume, lead quality, response time, booked calls, proposals sent, close rate, and cycle length
• Identify bottlenecks and propose fixes, like targeting changes, offer changes, follow up sequences, and landing page improvements
• Work with the team to keep tracking clean, including UTMs and source attribution
• Profitability and delivery analytics
• Analyze project profitability by client, service line, tech stack, team mix, and project type
• Track margin, burn vs budget, change requests, rework signals, and delivery risk patterns
• Recommend how to price and package projects to protect margin, including phased scopes and standard inclusions and exclusions
• Build a simple monthly profitability report leadership can use to make decisions fast
• Reporting and decision support
• Turn messy data into clean data, define standard fields, and maintain the reporting system
   

Requirements

• Strong analytical experience in a growth, strategy, ops, or finance analytics role
• Excellent spreadsheet skills and comfort working with imperfect data
• Ability to research competitors and synthesize insights into clear actions
• Comfort with marketing metrics and basic sales funnel math
• Strong written communication, concise and clear
   

Nice to have

• Experience with B2B services, agencies, or software consulting
• Experience with tools like GA4, Looker Studio, HubSpot, Pipedrive, Airtable, Notion, or similar
   

What We Offer:

• Working hours aligned with US time zones, typically 16:00—23:59 Kyiv time.
• English lessons to support clear and confident communication.
• Paid vacation and sick days.
• Fully remote work.
• Opportunities for professional growth within the team.
• Structured, personalized onboarding to help you ramp up effectively.
   

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency

Bitmedia Labs is an international product IT company that has been building ambitious innovative products for millions of users worldwide since 2014 — combining deep tech expertise with a creative mindset.

Our ecosystem spans:

•  Game Development — building the next generation of Web3 gaming, where gameplay comes first, players own their assets, and developers thrive within massive, engaged communities.
• Digital Marketing Ecosystem — building a unified ecosystem that combines a leading high-performance advertising platform with emerging media and affiliate solutions.

Requirements:

• 2+ years of experience with Python programming and software development;
• Hands-on experience working with LLM models and APIs (OpenAI, Claude, Gemini, LLaMA, etc.);
• Practical knowledge of AI/ML libraries and frameworks (LangChain, Hugging Face, PyTorch, TensorFlow);
• Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.) and embeddings;
• Demonstrated expertise in prompt engineering techniques and best practices;
• Basic experience with model fine-tuning and training pipelines;
• Strong SQL skills and experience with relational/NoSQL databases;
• Proven experience building APIs and backend services (RESTful APIs, background workers, task queues, data processing services) and understanding of application architecture and system design principles;
• Strong problem-solving skills, ability to work independently with minimal supervision, and capacity to research and learn new technologies autonomously;
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.

Nice-to-Have:

• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment and production implementation of AI solutions;
• Knowledge of Docker containerization, DevOps practices, MLOps, model monitoring, and CI/CD pipelines;
• Understanding of semantic search techniques, advanced embedding strategies, and experience processing unstructured data (text, images, audio) at scale;
• Proficiency with data visualization tools and techniques (Plotly, D3.js, Tableau);
• Working knowledge of web technologies fundamentals (HTML5, CSS3, JavaScript);
• Knowledge of authentication, authorization, and security best practices for AI applications.

Hiring process:

• Intro call with a Recruiter — Interview with the Hiring team — Сollection of recommendations — Offer.

Join Bitmedia Labs to evolve, explore, and make a real difference — together.
Our culture is built on openness, trust, and support. We value initiative, ownership, and results. We work as one team — helping each other, celebrating wins, and learning from challenges together.

We offer the freedom and space to grow:

• ​Professional growth and self-realization through ambitious products;
• ​The opportunity to bring your ideas to life, experiment, and directly influence the product’s development;
• Collaboration with talented teammates united by a shared goal.

We also care about well-being and balance:

•  Flexible schedule and the option to work remotely or from our hubs in Kyiv, Warsaw, and Berlin;
•  Competitive compensation, regular performance reviews, paid vacation, sick leave, and public holidays;
• ​Modern Apple equipment and thoughtful corporate gifts for holidays and personal milestones.
• ​Support for your growth: courses, workshops, and conferences.
• Through our charity foundation Bit Spilka, run by volunteers from our team, we support the military, medics, and civilians across Ukraine — already delivering over $500,000 in aid. Here, your work also drives social impact, and you can also join our volunteer initiatives.

If this resonates with you , send your CV and join us.
Let’s foster the world together!

We are looking for a Junior Risk & AML Specialist to join our growing FinTech team.

This role focuses on monitoring transactions, reviewing payer activities, and ensuring that all operations remain compliant with internal policies and AML regulations. You will work across multiple systems, maintaining accuracy and consistency in reviews while supporting the company’s overall risk management framework.

Requirements

• Experience in Risk, AML, or Compliance (preferably within FinTech or PSP) would be an advantage, but we are open to motivated candidates without prior experience.
• Strong analytical mindset and ability to identify key details in large data sets.
• High level of concentration and consistency when working with repetitive or high-volume tasks.
• Structured and process-driven approach to ensure accuracy in every review.
• Reliability and responsibility when handling sensitive information.
• Curiosity and genuine interest in understanding payer behaviour and transaction patterns.

Responsibilities

• Monitor transactions and payer activities to detect suspicious behaviour, fraud attempts, and potential money laundering schemes.
• Ensure compliance with applicable Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF) laws, regulations, and internal standards.
• Conduct AML/CFT risk assessments and identify areas of increased risk exposure.
• Perform investigations into potential AML/CFT breaches or other financial crime risks.
• Conduct CDD and EDD checks on payers, including SOF/SOW verification when required.
• Escalate high-risk cases, red flags, or unusual activity to the Team Lead for further review.
• Suggest improvements and contribute to the enhancement of internal compliance controls and procedures.
• Collaborate with Legal, Operations, Payments, and Compliance teams to ensure consistent risk management.
• Stay informed about regulatory updates, best practices, and emerging AML/CFT risk trends.
• Maintain clear, accurate, and up-to-date records of reviews, investigations, and compliance actions.

Nice to have

• Experience in Risk, Compliance, Fraud Prevention, or Customer Support.
• Basic understanding of online payments or how FinTech companies operate.
• Familiarity with AML tools or transaction monitoring systems.
• Confident use of Excel or similar tools for data review and analysis.
• Interest in compliance and analytical work.
• Ability to stay focused when working with detailed or repetitive tasks.
• Curiosity to understand payer behaviour and transaction patterns.
• Willingness to learn, ask questions, and grow through feedback.

What you will get with us

• Team-oriented and encouraging work environment.
• Career development opportunity.
• Paid vacation & sick leaves.
• Corporate English classes.
• Paying taxes and conducting private entrepreneurs.
• Internal Referral program.
• Remote-based work.

Hiring process:

• CV screening→ Interview with Recruitment Specialist →Test → Interview with Hiring Manager → Job Offer.

Are you ready to explore new opportunities? We invite you to submit your application today. We appreciate your interest and look forward to welcoming you on board!

About DemandSense

DemandSense is a B2B SaaS platform that helps companies understand buyer intent, advertising performance, and product impact through data and AI-driven insights. We work with large volumes of product, marketing, and behavioral data and turn them into actionable intelligence for go-to-market teams.

Role Overview

We are looking for a Data Analyst to own and evolve our data pipelines, analytics layer, and dashboards. 

This role sits at the intersection of data engineering, analytics, and AI enablement, ensuring high-quality data flows and models that power both customer-facing insights and internal decision-making.

Key Responsibilities

• Create and maintain dashboards and reports in Apache Superset
• Design, build, and maintain reliable data pipelines, e.g, using Python (Airflow), n8n
• Maintain and optimize ClickHouse as an analytical data warehouse (tables, partitions, TTLs, indexes)
• Integrate data from multiple sources (product, marketing, billing, external APIs)
• Prepare clean, well-structured datasets for AI tools
• Partner with engineering and product on data-related initiatives
• Document data models, pipelines, and definitions to ensure transparency and reuse

High Level Measurements of Success:

• Analytical datasets structured for easy consumption by AI models and/or BI tools; models are reusable
• Proactively identifies and implements pipeline improvements or new metrics
• Dashboards are developed on time and provide insights that lead to actionable decisions
• All data sources, metrics, and workflows are clearly documented

Tech Stack

• Databases: PostgreSQL, ClickHouse
• ETL & Orchestration: Python, Airflow
• No-code / Automation: n8n
• BI & Visualization: Apache Superset 

Required Qualifications

• Strong proficiency in SQL (complex queries, views, joins, aggregations)
• Hands-on experience with at least one BI or visualization tool
• Solid understanding of database schemas and data modeling
• 2+ years of data management and ETL experience

Nice to Have

• Experience with product analytics (funnels, cohorts, retention, usage metrics)
• Familiarity with ClickHouse or other analytical databases
• English Intermediate+

Attributes

• Strong problem-solving skills.
• Highly attentive to detail.
• Deliberative decision-making.
• Learning agility and adaptability.
• Strong communication and collaboration skills (cross-functional teamwork).
• Commitment to data quality and integrity.
• Professional, proactive, and reliable work style.

What We Offer

• Opportunity to work on a data- and AI-first product
• High ownership and influence on analytics and AI foundations
• Collaboration with experienced product and engineering teams
• Flexible work environment and competitive compensation

About us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide. 

Our global team of over 6,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon. 

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey. 

Be part of the future of iGaming with 6,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!   

Requirements: 

• Requires 4 or more years of related experience, maintenance, and administration of PostgreSQL databases.   
• Previous SQL Server and/or Oracle database administration experience is a plus.  
• Strong writing and verbal communication skills.   
• Displays excellent collaborative skills with cross-functional teams.  

Responsibilities:  

• The DBA should have knowledge of some industry standard PostgreSQL databases including creation and implementation of fully functional PostgreSQL database clusters (both in the cloud AWS RDS and on-premises), ability to maintain multiple development, QA, and production PostgreSQL environments with experience in performance tuning.  
• Review existing configurations and installations and provide design decisions for improvements to platform environments.  
• Assist in planning and performing PostgreSQL database upgrades and migrations.  
• Perform production level support and be part of the on call rotation when required.  
• This position will be responsible for supporting new and existing PostgreSQL database systems, both internally and future Cloud managed instances and will contribute in defining best practices in database administration, and introduce innovation with automation.  
• Proficient with the Linux operating systems - Ubuntu, RHEL.  
• Assist in implementing long-term strategic goals for database development in conjunction with end users, managers, clients, and other stakeholders.   
• Perform debugging, tuning, and performance enhancement as well as automation of operational and continuous integration aspect of the PostgreSQL platform.  
• Independently analyzes, solves, and corrects issues in real time, providing problem resolution end-to-end.  

Company offers: 

• Long-term employment; 
• Flexible timetable; 
• Comfortable working conditions; 
• Paid vacation and sick leaves; 
• English lessons, gym; 
• Competitive salary level. 

Computer Vision engineer

DeepX is looking for a Computer Vision engineer

Core requirements:
- Python development experience
- Knowledge of popular data processing libraries (numpy, pandas, scipy etc)
- GIT, Linux, bash

Nice to have (or able to learn quickly):
- Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Tensorflow, Keras, Yolo)
- Understanding of Computer Vision problem space
- Machine Learning and Artificial Neural Networks fundamentals
- Linux, Docker, gcc/make etc experience
- C++ and C, creating Python C extensions

A bit about DeepX company:
DeepX is an R&D intensive and innovation-driven consortium that provides Artificial Intelligence-powered Computer Vision solutions for businesses.
Please, take a look to find out more about us https://deepxhub.com/
We are a group of enthusiastic adherents who are passionate about the idea of improving this world’s safety by making Computer Vision technologies more advanced. Lifetime learning is our motto, we are admire ambition hard workers who are ready to face new challenges. If you feel like we might be on the same page, please, apply!

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

We are seeking a skilled Senior Business / System Analyst to join our team. In this role, you will support client discovery phases, identify pain points and improvement opportunities, and help translate business needs into clear functional requirements and delivery-ready specifications. This position requires hands-on experience in the manufacturing domain, with a solid understanding of operational workflows and business processes. 
Location: Toronto, Canada (ideally). We also consider candidates from Europe/UA with Canadian visa and ability to travel for crucial project phases. ​Can stick to European business hours.
Engagement: part-time or full-time, we are ready to discuss both.

Key Responsibilities: 
• Conduct process discovery workshops with business stakeholders and operational teams;
• Analyze current-state processes and identify:    
◦ inefficiencies;    
◦ bottlenecks;    
◦ repetitive/manual tasks;    
◦ opportunities for automation and optimization. 
• Document business requirements as:    
◦ functional specifications;    
◦ user stories / acceptance criteria;    
◦ process maps and workflow documentation. 
• Support delivery teams (engineering / DevOps / QA) by clarifying requirements and aligning expectations; 
• Assist in defining project scope, priorities, KPIs, and success criteria; 
• Contribute to solution validation, including supporting UAT preparation and feedback collection. 

Required Skills & Experience:
• 4+ years of experience as Business Analyst / Product Analyst / Systems Analyst 
• Manufacturing domain experience (required) — e.g.:    
◦ production & operations:
◦ quality control;    
◦ supply chain / logistics;    
◦ warehouse operations ;   
◦ ERP / MES-related workflows.
• Strong experience in:    
◦ business process documentation (BPMN / flow diagrams);    
◦ writing user stories, epics, functional requirements;    
◦ working with cross-functional stakeholders.
• Solid communication skills and ability to work with both business and technical teams.

Nice to Have: 
• Understanding of enterprise IT systems and integrations (ERP, MES, CRM, WMS); 
• Knowledge of data reporting, analytics, and BI tools;
• Experience in regulated industries (finance, healthcare, etc.).

What We Offer
 

• 16 days of paid time off.
• Official public holidays.
• Participation in company events.
• Health insurance.
• A friendly environment and supportive team.
• Engaging projects with opportunities for career growth.

We are a leading sea moss superfood brand in the U.S., on a mission to redefine natural wellness by making it simple, accessible, and affordable for everyone, everywhere.
As we continue to scale across multiple marketplaces and marketing channels, data has become our backbone. We are now looking for a Data Engineer / Data Architect who will take ownership of building a fast, reliable, and scalable data infrastructure for our e-commerce, marketing, and finance teams.

Why join us?

You’ll be building the core data infrastructure for a fast-growing, multi-channel wellness brand. This role has real ownership, high impact, and direct influence on how leadership makes decisions across marketing, finance, and operations.

What we’re looking for:

You’re a builder at heart. You’ve worked with e-commerce data before and understand how marketing platforms, stores, subscriptions, and marketplaces connect behind the scenes.
 

You are:
● Experienced in e-commerce data — You’ve built or maintained data systems for online brands before.
● System-oriented — You think in pipelines, schemas, and automation.
● Fast and pragmatic — You can move quickly and deliver working solutions, not just plans.
● Detail-driven — You care about data accuracy, consistency, and definitions.
● Independent — You can take ownership of the data stack end to end.
● Collaborative — You work closely with marketing and finance teams to understand real needs.

What you’ll do:

Data Collection & Integration
● Pull data via APIs from: Google Ads, Meta, Shopify, Recharge, Klaviyo, Postscript,
Amazon, TikTok, Walmart, and other platforms.
● Build reliable pipelines to collect and sync data continuously.

Data Infrastructure & Storage

● Store and manage data in AWS (S3, Redshift) and/or BigQuery.
● Design scalable data models and schemas for marketing and finance use cases.
● Ensure data is clean, matched, transformed, and ready for analysis.
Transformation & Automation
● Transform raw data based on business requirements (metrics, attribution, matching).
● Ensure automatic updates and stable refresh schedules.
● Optimize performance to eliminate delays and bottlenecks.
Reporting & Accessibility
● Make data available via Google Sheets, data warehouses, and BI tools.
● Enable seamless access for Power BI (and other BI tools if needed).
● Support leadership dashboards and recurring reports.
 

Key Technical Skills
● AWS: S3, Redshift, Airflow, Data Pipelines
● SQL
● Python
● Experience with API integrations
● BI tools: Power BI, Tableau (nice to have)

What we offer:

● Welcome Pack and custom True Sea Moss merch to ensure you arrive like you were always meant to be here
● Sports reimbursement to support your physical and mental health
● Coaching & career consultations to support your personal and professional growth
● Access to corporate English lessons to sharpen your communication skills
● WHOOP membership to help you track your health, sleep, and recovery
● Coworking membership if you prefer a hybrid work lifestyle
● Sabbatical options after long-term contributions
● Project grants for side ideas, personal initiatives, or creative experiments
If you’re ready to build clean, scalable data systems that power a real, fast-growing wellness brand — we’d love to hear from you.

Responsibilities:

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps 
• Work with clients to deliver AI Products which provide value to end-users 
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings 
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning 
• Work closely with DevOps practice on infrastructure and release planning 
   

Requirements:

• Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities  
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)  
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ

We are looking for a data-driven VIP Analyst to strengthen our VIP and High-Value Player strategy across Casino and Sportsbook verticals. In this role, you will own VIP performance analytics, bonus efficiency evaluation, behavioral segmentation, and manager impact measurement across multiple brands and geographies.

You will play a key role in maximizing VIP lifetime value (LTV), optimizing bonus ROI, and detecting early churn or risk signals within high-value cohorts.
 

HOW YOU WILL MAKE AN IMPACT
 

1. VIP & High-Value Player Analytics

• Build and maintain a unified VIP analytics framework across Casino and Sportsbook products.
• Develop behavioral segmentation models based on betting activity, frequency, stake size, product mix, payment behavior, and engagement patterns — not just deposit volume.
• Conduct cross-brand and geo analysis (Tier 1 / Tier 2 / Tier 3 markets).
• Analyze VIP lifecycle: acquisition → activation → growth → retention → churn.
• Monitor and optimize key metrics: GGR, NGR, ARPU, LTV, Hold %, Bet Frequency, Average Stake.
   

2. Bonus ROI & Offer Optimization

• Measure ROI of VIP bonuses, free bets, cashback, reloads, and personalized offers.
• Analyze uplift impact on GGR, NGR, retention, and wagering behavior.
• Lead A/B testing of VIP promotions and incentive mechanics.
• Identify bonus abuse patterns and inefficient incentive structures.
• Ensure bonus cost aligns with profitability and margin targets.
   

3. VIP Manager Performance & Contact Strategy

• Evaluate impact of VIP manager contact rate on player retention, GGR, and NGR.
• Measure player performance before and after VIP assignment.
• Build KPI frameworks for VIP managers (retention rate, reactivation rate, revenue uplift, churn prevention).
• Optimize segmentation rules for VIP flows and assignment logic.
• Support data-driven decision-making for VIP team leads.
   

4. Risk, Fraud & Early Churn Detection

• Detect abnormal deposit and betting patterns (spikes, sharp betting behavior, bonus abuse).
• Identify early churn signals (decline in bet frequency, reduced stake size, inactivity trends).
• Collaborate with Risk & Fraud teams to monitor suspicious VIP behavior.
• Build automated alerts for high-risk or high-opportunity VIP accounts.
• Support responsible gaming monitoring within VIP cohorts.
   

5. Reporting & Data Infrastructure

• Own daily, weekly, and monthly VIP performance reporting.
• Deliver individual VIP dashboards to support personalized account management.
• Ensure consistency of VIP tagging, segmentation logic, and reporting across brands.
• Automate reporting processes and improve analytics infrastructure.
• Maintain transparency of GGR vs NGR impact in reporting.
   

6. Experiments & Product Impact

• Take analytical ownership of experiments related to payments, withdrawals, limits, VIP flows, CRM mechanics, and loyalty programs.
• Evaluate impact of operational changes on betting activity and VIP profitability.
• Translate analytical findings into clear business recommendations with financial implications.
• Partner with Product, CRM, Payments, and Risk teams.
   

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of experience in iGaming (Casino / Sportsbook) analytics.
• Strong SQL skills (experience working with large transactional betting datasets).
• Solid understanding of GGR, NGR, Hold %, LTV, churn rate, bonus cost mechanics.
• Experience with BI tools (Power BI / Tableau / Looker).
• Experience with A/B testing and experiment evaluation.
• Strong business mindset and ability to communicate insights to non-technical stakeholders.
   

Nice to Have

• Experience with churn prediction or behavioral modeling.
• Knowledge of sharp betting detection and bonus abuse patterns.
• Experience with Python (Pandas, statistical analysis).
• Familiarity with regulatory requirements across Tier 1 markets.
   

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).