Senior DS/ML developer
About Streamflow
Streamflow is the leading token distribution infrastructure on Solana, trusted by over 40,000 projects and managing more than $1.4 billion in total value locked (TVL). We help crypto teams automate vesting schedules, airdrops, staking pools, and payroll — replacing spreadsheets and manual transfers with audited smart contracts.
Our mission is simple: make token distribution seamless, transparent, and programmable for every Web3 team.
We are now scaling our data team to support rapid growth across Solana, Aptos, and Sui ecosystems. We are profitable, fully remote, and growing fast.
The Role
We are looking for a Senior Data Scientist & ML Developer to join our analytics team. This is a hybrid role — part data science, part lightweight ML engineering — focused on unlocking insights from on-chain data and building predictive models that help our users and internal teams make better decisions.
You will work with real blockchain data from over 1.3 million users and 40,000 projects. You will build models that predict user churn, detect anomalous vesting patterns, optimize staking reward distributions, and identify fraudulent airdrop claims.
This is not a pure research role. You will write production-ready code, deploy lightweight models, and collaborate closely with product managers and engineers.
What You Will Do
Predictive Modeling
Build models to forecast user retention, vesting claim behavior, and staking participation rates.
Develop churn prediction for project accounts — helping us understand which teams are likely to stop using Streamflow.
Anomaly Detection
Create systems to detect suspicious on-chain activity: sybil attacks on airdrops, wash trading in staking pools, or unusual token movement patterns.
Work with the compliance team to flag high-risk behavior without compromising user privacy.
On-Chain Data Science
Analyze massive datasets from blockchain using SQL and Python.
Identify trends — which vesting schedules perform best? What drives higher claim rates?
ML Engineering (Lightweight)
Deploy and maintain small-scale ML models in production using batch inference (no real-time requirements).
Collaborate with data engineers to ensure clean, reliable data pipelines.
Write maintainable, documented code in Python using libraries like scikit-learn, XGBoost, or LightGBM.
Strategic Input
Present findings to leadership and product teams.
Help define key metrics and success criteria for data science initiatives.
Requirements
Experience – 5+ years in data science, machine learning, or analytics engineering roles.
Python – Strong proficiency with pandas, numpy, scikit-learn, and at least one ML framework (XGBoost, LightGBM, or similar). You do not need deep learning (PyTorch/TensorFlow).
SQL – Expert-level SQL. You will query large on-chain datasets across multiple tables.
Blockchain Knowledge – You understand how blockchains work: transactions, blocks, wallets, smart contracts, token standards (SPL on Solana). You know the difference between a wallet address and a token account.
Production Mindset – You can write code that runs reliably in production. You understand batch inference, feature stores, and model monitoring.
English – Fluent written and spoken.
What Makes This Role Unique
Real on-chain data – Not simulated, not anonymized. You will work with billions of real transactions from millions of real users.
High-impact problems – Your models will directly help detect fraud, improve user retention, and optimize millions of dollars in token distributions.
Autonomy – Small team, no bureaucracy. You will own the entire data science lifecycle — from ideation to deployment to monitoring.
Crypto-native culture – We speak in TVL, APY, vesting cliffs, and lockup periods. You will learn tokenomics from the inside.
Working at Streamflow
100% remote – Work from anywhere in the world. No office mandates.
Asynchronous first – We write things down. We minimize meetings. Deep work is sacred.
Time zone overlap – We ask for approximately 4–6 hours of overlap with CET (Central European Time). The team is distributed globally, but we coordinate intentionally.
Startup culture – Fast decisions, high ownership, no micromanagement. Everyone ships.
Physical hub – Optional office space in Belgrade, Serbia if you ever want a desk and in-person collaboration.
Benefits
Fully remote – No return-to-office. Ever.
Flexible schedule – Outcomes matter, not hours logged.
Paid time off – 20+ days per year + local public holidays
Hardware stipend – One-time budget for your home office setup
Professional development – Budget for conferences, courses, or certifications
How to Apply
Your resume (PDF or LinkedIn link)
A brief note about your experience
Head of Analytics
Streamflow is the leading token distribution infrastructure on Solana, trusted by over 40,000 projects and managing more than 1.4 billion dollars in total value locked. The platform helps crypto teams automate vesting schedules, airdrops, staking pools, and payroll through audited smart contracts.
Streamflow operates across Solana, Aptos, and Sui blockchains. The company is profitable, fully remote, and growing rapidly. The data team is small but critical to the companys success.
The Role
Streamflow is seeking a Head of Analytics to build and lead the data function from strategy through execution. This role reports directly to the Chief Operating Officer and works closely with the product, marketing, and engineering teams.
The Head of Analytics will own all data-related activities including product analytics, on-chain data analysis, business intelligence reporting, and team development. This is a leadership position with significant strategic influence. The role requires both management skills and hands-on technical ability.
What You Will Do
Team Leadership
Hire, mentor, and manage a small team of data analysts
Define team roadmaps, priorities, and success metrics
Establish career development paths for team members
Data Strategy
Define key performance indicators across product adoption, user retention, and TVL growth
Align data initiatives with company strategic goals
Build a scalable data infrastructure strategy
On-Chain Analytics
Lead analysis of blockchain transaction data to identify user behavior patterns
Detect trends across vesting, staking, and airdrop activities
Provide ecosystem insights to leadership and business development teams
Reporting and Dashboards
Build and maintain executive dashboards for the leadership team
Prepare data for board meetings and investor communications
Support marketing with campaign performance analytics
Cross-Functional Collaboration
Partner with product to measure feature adoption and user flows
Support engineering with data quality and event tracking implementation
Work with business development to identify high-value opportunities
Data Governance
Implement data quality standards and documentation practices
Establish data access policies and security protocols
Ensure compliance with relevant data regulations
Requirements
Experience
7 or more years in data analytics, business intelligence, or data science
At least 2 years in a team leadership role managing analysts
Technical Skills
Advanced SQL proficiency including complex joins and window functions
Experience with at least one BI platform such as Tableau, Looker, Metabase, or PowerBI
Familiarity with Python or R for analysis is a plus but not required
Soft Skills
Ability to present complex findings to non-technical stakeholders including executives and investors
Strong written and verbal communication in English
Comfort with asynchronous work and written documentation
Compensation and Benefits
Work Location – Fully remote with no return-to-office requirement
Time Off – 20 paid days off per year plus local public holidays
Hardware – One-time stipend for home office setup
Professional Development – Budget for conferences, courses, or certifications
Working at Streamflow
Streamflow operates on a fully remote, asynchronous-first basis. Team members work from locations around the world. The company asks for approximately 4 to 6 hours of time zone overlap with Central European Time. Decision making is fast with high ownership and minimal bureaucracy. An optional physical office is available in Belgrade, Serbia.
How to Apply
Send the following materials
Your resume in PDF format or a link to your LinkedIn profile
A brief note describing your experience leading analytics teams
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About the Role:
I am Sadr B, founder of a private development agency. I am currently building a dedicated team of elite developers to handle high-value web and mobile (APK) projects. I am not just looking for a freelancer; I am seeking a long-term partner to grow this agency with me.
The Partnership Structure:
Team Spirit: We work as a unified team. You handle the technical execution (Web/App), and I manage agency growth, strategy, and client relations.
Negotiated Rates: We do not post fixed budgets upfront. Every project is discussed in DM based on the specific client quote and requirements.
50/50 Milestone Payment: Security is our priority. Once the client pays the initial deposit, 50% of your fee is funded into LaborX Escrow immediately. The final 50% is released upon delivery and client approval.
Payment: All transactions are handled in Crypto (USDT/Polygon) for speed and transparency.
Requirements:
Expertise in Full-Stack development (React, Node.js, Flutter preferred).
Strong experience in delivering high-quality Android APKs.
A portfolio demonstrating your ability to handle professional-grade projects.
How to Apply:
Please DM me with your portfolio and a brief introduction of your experience. Let’s discuss how we can build this agency together.
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