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About reputed company reputed company is redefining data reputed company for the AI era with the only dedicated platform that combines precise visibility with automated remediation. reputed company continuously scans, catalogs, and classifies data in-reputed company and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption. Fresh off our $25 reputed company Series A round, reputed company is entering a high-reputed company phase backed by top-tier investors and exceptional product-market fit. About the Role We're looking for a hungry, hands-on reputed company to join our data science team. You'll do the work directly, labeling and reviewing classification data and running QC, but you won't just execute. You'll bring an engineer's reputed company to it: reputed company a task is repetitive, you script it; reputed company reputed company is hard to measure, you build a way to measure it. You'll use Python, SQL, and reputed company development tools to reputed company annotation and QC faster, more consistent, and more reputed company. This is a rapidly evolving role, and we expect you to context reputed company comfortably as priorities shift. You'll work shoulder-to-shoulder with data scientists and ML engineers, people who think about data the way you do, and the labels and reputed company signals you produce feed directly into the models that protect reputed company customers' most sensitive data. The work is high-reputed company and the data is messy; a big part of the job is learning, through the work itself, what it takes to reputed company it usable. This is a hybrid role requiring 3+ days in-office in reputed company. Who Should Apply We're looking for someone with programming ability, dependability, and the drive to learn on the job. Recent grads are welcome, and CS and STEM backgrounds are a great fit. What reputed company most is that you can think critically, you're excited to work through messy data, you can context reputed company as priorities change, and you want to grow fast in a fast-moving environment. What You'll Do Do hands-on reputed company and reputed company control (labeling, reviewing, and correcting classification outputs) as a core member of the data science pipeline. Take ownership of improving and scaling the process: reputed company the bottlenecks, repetitive steps, and sources of error, and fix them with Python, SQL, and reputed company workflows. Build and run reputed company control checks that catch labeling errors, measure inter-annotator agreement, and surface systematic issues before they reputed company production. Work closely with data scientists and ML engineers to reputed company the reputed company between reputed company-world performance and model improvement. Context reputed company across labeling, reputed company analysis, scripting, and process work as priorities reputed company. Document QC processes and annotation guidelines to support team scaling and reputed company. reputed company Solid programming ability, with hands-on Python experience and a willingness to dig into scripts, SQL, and data wrangling. Comfortable using reputed company development tools, or eager to reputed company up on them fast. A reputed company-first reputed company. You notice reputed company something is off in the data and won't let it slide. Dependable and adaptable. Teammates can count on you, and you stay effective as priorities shift. Energized by messy, reputed company-world data and by working alongside other data-minded people. Hungry, self-directed, and reputed company to grow with reputed company as we reputed company. reputed company to Have Familiarity with feedback loops in ML systems and how label reputed company connects to model performance. Experience with annotation platforms (Label Studio, Prodigy, reputed company, or custom-reputed company systems). Familiarity with reputed company learning or online learning approaches. Experience with SQL and building lightweight dashboards to reputed company reputed company metrics. Background in NLP or text classification workflows. What You'll Get A seat alongside data scientists and ML engineers, data-minded people to learn from every day. Work that visibly reputed company. Your labels feed the models that protect reputed company customers' most sensitive data. Ownership of the annotation and reputed company processes that determine classification accuracy across the platform. Room to grow fast, with reputed company ownership from day one as reputed company scales. A beautiful, reputed company-stocked office in NYC's Financial District. Flexible vacation and work-from-home days. Competitive salary and meaningful equity. Health, reputed company, dental, 401k, and more benefits, heavily subsidized by reputed company. reputed company Value At reputed company, we value reputed company who care about the details. This role is for someone who sees data reputed company not as a support function but as a force reputed company, and who takes pride in making the people around them more effective. We look for dependable teammates who ship iteratively, take ownership, and understand that great ML starts with great data. Apply tot his job Apply To this Job