Role Summary

They’re hunting for a data scientist/analyst who dominates in a blistering, high-stakes arena where ownership is non-negotiable. Data fuels their decision engine, risk models, and product dominance. You’ll architect, deploy, and unleash data-driven beasts that redefine underwriting advances, user journeys, and risk mastery.

This isn’t notebook playground — you’ll forge battle-ready Python code, launch models and pipelines into the fray, and team up with backend warriors to craft indestructible data empires. You’ll harness cutting-edge AI/LLM firepower to turbocharge analysis, automate intel drops, and sharpen every call.

Your impact explodes beyond models: you’ll extract killer insights from user patterns, product gauntlets, and financial warfare, fueling tactical strikes and empire-building strategies.

If blending hardcore engineering, business intel, and AI sorcery fires you up — and seeing your creations crush it for thousands of users gets your blood pumping — you’re in the kill zone.

What you’ll do

• Build and maintain services that power their decision engine — the heart of the beast

• Design and develop statistical and machine learning models to crush underwriting, fraud detection, and user engagement

• Write production-ready Python code (FastAPI, Pandas, SQLAlchemy) to deploy models and pipelines into live systems

• Develop and optimize ETL jobs and data pipelines to morph raw chaos into razor-sharp insights

• Write and maintain SQL queries to dissect user behavior, product performance, and financial metrics

• Partner with product and business teams to analyze funnels, unit economics, and risk metrics, translating insights into game-changing decisions

• Design and run data-driven experiments (A/B tests, causal analysis) to validate product upgrades and policy shifts

• Leverage LLMs and AI-powered tools to accelerate data exploration, automate reporting, and supercharge SQL/analysis workflows

• Prototype and integrate AI-driven workflows (agents, RAG pipelines, anomaly detection, automated monitoring) into their data arsenal

• Implement and maintain unit and integration tests to lock down model and pipeline reliability

• Communicate findings and recommendations with crystal clarity to technical and non-technical power players

What we’re looking for

• 4–6+ years of experience in a data science, data analyst, or ML engineering role

• Strong Python programming skills (comfortable writing production-ready code, not just notebooks)

• Experience with SQL and relational databases (Postgres, MySQL, or similar)

• Hands-on experience with Python data libraries (Pandas, NumPy, SciPy, scikit-learn, etc.)

• Background in applied statistics and machine learning (classification, regression, clustering, etc.)

• Experience deploying models, pipelines, or analytics workflows into production environments

• Familiarity with data-driven experimentation (A/B testing, causal inference, or uplift modeling)

• Experience leveraging LLMs and AI-powered tools to improve analysis and reporting productivity

• Strong problem-solving and communication skills, with the ability to collaborate in a remote-first environment

• A responsible, detail-oriented mindset with a strong sense of ownership

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Nice to have

• Experience with ETL/data engineering frameworks (Airflow, dbt, or similar)

• Familiarity with cloud platforms (AWS preferred — RDS, S3, ECS, Lambda)

• Practical experience with advanced LLM applications — e.g., multi-agent workflows, automated feature engineering, anomaly detection agents

• Familiarity with retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, Weaviate, FAISS)

• Experience optimizing AI/data pipelines for latency, cost efficiency, and reliability

• Experience with Docker and containerized workflows

• Previous experience in fintech, risk modeling, or credit underwriting

• Preference for candidates with startup experience and a diverse range of roles in their career

Who you are

They’re seeking a data scientist who fuses analytical firepower with engineering steel and business hunger — a force who owns the chaos, adapts like a predator, and shatters limits. You’ll connect raw data fury to strategic conquests and unbreakable code.

• You’re obsessed with transforming tangled data into unstoppable insights and ironclad systems

• You seize full ownership of projects from dissection through launch and surveillance

• You dominate in high-velocity realms with weekly drops and relentless evolution

• You hunt feedback to evolve, while delivering precision strikes to elevate the pack

• You’re insatiable, flexible, and eternally upgrading — especially on frontiers like LLMs and AI sorcery

• You prioritize surgical communication and synergy across tech and business battle lines

How they work

They’re a lean, lightning-fast squad that demands precision, freedom, and audacious moves. They shatter limits, charge ahead, and claim their creations. Their ethos revolves around:

• Ownership & Accountability — Everyone claims their domain. You’re empowered to propel features from spark to domination.

• Speed & Adaptability — They blitz with weekly unleashes and perpetual refinement. Flux is fuel, and they devour it.

• Feedback Culture — They demand raw, compassionate truth — dishing it thoughtfully, absorbing it hungrily.

• Data-Driven Thinking — From product assaults to system supremacy, metrics and proof reign supreme.

• High Appetite for Risk — They charge into bold gambles, prototype ferociously, and extract wisdom from the fallout.

• Continuous Learning — They crave the unknown and ride the wave of tech evolution — AI and LLMs at the vanguard.

• Team Collaboration — Remote-first but fused tight, with transparent intel and collective firepower.

What they offer

• Flexible working hours

• Generous paid vacation

• Work from home opportunity

• Opportunity to be one of their first data hires, taking significant responsibility and ownership in shaping their decision engine and data culture

• Annual team bonding trips to exciting destinations — from beaches in Thailand to jungles in Brazil.

If this ignites your core, apply now and claim your throne.