Machine Learning Data Analyst at Incode

SerbiaFull-timeMachine LearningPosted about 1 month ago

About the Role

<div class="content-intro">POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!</div><h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">About Incode</h3> Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We're in the process of rapidly scaling our diverse global team and we're looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast — and we're looking for data professionals passionate about investigating data quality problems and building the systems that keep world-class ML models reliable. <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">The Impact You'll Make</h3> As a Data Analyst on the ID Document Intelligence team, you'll investigate data quality issues, perform root cause analysis, and build the pipelines and automated checks that keep Incode's machine learning ecosystem reliable. You'll ensure that data flows efficiently and accurately through every stage of model training, labeling, and performance tracking. Your work will be essential to maintaining the scalability, quality, and precision of Incode's document intelligence systems used by millions worldwide. <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">What You'll Own & Drive</h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="whitespace-normal break-words pl-2">Root Cause Investigation — Independently investigate data quality issues end-to-end. When a model metric drops or data looks wrong, you own the investigation: forming hypotheses, querying across data sources, and delivering a clear, evidence-backed answer.</li> <li class="whitespace-normal break-words pl-2">Automated Data Pipelines — Design, build, and maintain pipelines for collection, labeling, validation, and metric computation that support ML training and evaluation.</li> <li class="whitespace-normal break-words pl-2">Data & Labeling Quality Standards — Establish and monitor consistency checks, accuracy audits, and root-cause analysis when issues impact model outcomes.</li> <li class="whitespace-normal break-words pl-2">Model Evaluation Metrics — Define, implement, and automate evaluation metrics and reporting that reflect real-world product use cases and business goals.</li> <li class="whitespace-normal break-words pl-2">Performance Tracking Systems — Build scalable dashboards and monitoring to enable fast, data-driven decisions across teams.</li> <li class="whitespace-normal break-words pl-2">Workflow Orchestration — Develop and operate reliable orchestration (Airflow, Prefect, or similar) to schedule, observe, and troubleshoot end-to-end pipelines.</li> <li class="whitespace-normal break-words pl-2">Clean, Maintainable Code — Write SQL and Python to efficiently investigate problems — querying databases, calling internal APIs, and processing data across multiple sources.</li> <li class="whitespace-normal break-words pl-2">Cross-Functional Partnership — Partner closely with ML engineers, analysts, and product stakeholders to prioritize work by impact, unblock execution, and continuously improve internal tooling for analysis and evaluation.</li> </ul> <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">The Qualities That Set You Apart</h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="whitespace-normal break-words pl-2">Investigative mindset — You don't stop at the symptom. You chase data anomalies until you find the root cause, and you bring receipts.</li> <li class="whitespace-normal break-words pl-2">Statistical intuition — You can tell the difference between a meaningful metric shift and noise, and you know how to prove it.</li> <li class="whitespace-normal break-words pl-2">Builder's bias — You'd rather automate a check than run it manually for the third time.</li> <li class="whitespace-normal break-words pl-2">Proactive ownership — You spot problems before anyone flags them, and you drive them to resolution without waiting for permission.</li> <li class="whitespace-normal break-words pl-2">Clear communicator — You translate messy data into crisp answers that ML engineers, PMs, and leadership can act on.</li> </ul> <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">Your Background</h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="whitespace-normal break-words pl-2">3+ years of experience as a Data Analyst or in a similar data infrastructure role.</li> <li class="whitespace-normal break-words pl-2">Strong SQL and Python skills for data investigation and root cause analysis.</li> <li class="whitespace-normal break-words pl-2">Hands-on experience with AWS Redshift or a similar columnar/cloud database (BigQuery, Snowflake, etc.).</li> <li class="whitespace-normal break-words pl-2">Solid statistical foundation — you can reason about rates, distributions, significance, and sampling bias.</li> <li class="whitespace-normal break-words pl-2">Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.).</li> <li class="whitespace-normal break-words pl-2">Proven experience in data quality management, data preparation, or ML data pipelines.</li> <li class="whitespace-normal break-words pl-2">A proactive mindset toward identifying problems.</li> <li class="whitespace-normal break-words pl-2">Strong collaboration and problem-solving skills.</li> <li class="whitespace-normal break-words pl-2">Background in mathematics, physics, or engineering.</li> </ul> Preferred Experience <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="whitespace-normal break-words pl-2">Familiarity with big data technologies or data infrastructure optimization.</li> <li class="whitespace-normal break-words pl-2">Experience with labeling workflows or ML data preparation pipelines.</li> <li class="whitespace-normal break-words pl-2">Exposure to AWS or other cloud-based data solutions.</li> <li class="whitespace-normal break-words pl-2">Interest in machine learning operations (MLOps) and scalable ML systems.</li> </ul> <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <h3 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">Why Incode?</h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="whitespace-normal break-words pl-2">Mission with Meaning — Build systems that enable ethical, seamless identity verification for millions.</li> <li class="whitespace-normal break-words pl-2">Rocket-Ship Growth — Join a company scaling globally with AI at its core.</li> <li class="whitespace-normal break-words pl-2">Elite Team & Technology — Collaborate with top engineers and data scientists redefining document intelligence.</li> <li class="whitespace-normal break-words pl-2">Ownership & Autonomy — Operate with end-to-end responsibility for impactful data pipelines.</li> <li class="whitespace-normal break-words pl-2">Global Impact — Your work will power real-world AI experiences trusted by major enterprises.</li> </ul> Power a world of trust.<div class="content-conclusion">Aspects of our Culture: <ul> <li>High performance</li> <li>Freedom & responsibility</li> <li>Context, not control</li> <li>Highly aligned, loosely coupled</li> <li>Continuous Feedback</li> <li>Promotions & Development</li> <li>Learn more about <a href="https://incode.com/life-at-incode/">Life at Incode</a>!</li> </ul> Benefits & Perks: <ul> <li>Flexible Working Hours & Workplace</li> <li>Open Vacation Policy</li> </ul> Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.</div>

About the Role

About the Role

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