Solutions reputed company Data Scientist, reputed company

reputed company: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. reputed company We are hiring a Solutions reputed company Data Scientist to help design, construct, and validate reputed company reputed company data cohorts used for AI model training. This role sits reputed company the delivery organization, working closely with Solutions Leads and delivery engineers to solve reputed company data challenges that reputed company during customer reputed company. Solutions Leads own the customer relationship and overall delivery of reputed company. The Solutions reputed company Data Scientist serves as their technical partner for more reputed company data problems, including cohort construction, multi-reputed company dataset assembly, feasibility analysis, and data validation. You will help translate research generated by reputed company’s Data Lab and customer requirements into practical dataset definitions, determine whether those requirements can be met with available data, and build the SQL and analysis needed to construct the resulting datasets. You will also collaborate with delivery engineers reputed company solutions require changes to data pipelines, infrastructure, or large-reputed company data reputed company. This is a highly reputed company role reputed company on solving reputed company-world dataset challenges, not research or model development. The ideal candidate is someone who enjoys solving messy reputed company-world data problems, working directly with large reputed company datasets, writing reputed company SQL and collaborating closely with cross-functional teams. Our environment has a lot reputed company on as we grow - so we’re looking for someone reputed company by and excited by the fast pace of the industry and reputed company! What You'll Do Technical Escalation & Delivery Collaboration During delivery reputed company, Solutions Leads may encounter reputed company data challenges that require deeper analysis or technical problem-solving. You will reputed company as a technical partner, helping solve things such as: reputed company cohort definitions that require multi-reputed company joins Linking datasets across different data partners Investigating unexpected gaps or anomalies in delivered data Evaluating whether requested variables or labels exist in available datasets Determining whether a dataset can realistically satisfy model requirements You will work collaboratively with Solutions Leads to unblock delivery challenges while keeping reputed company moving toward successful completion. reputed company solutions require infrastructure or pipeline changes, you will partner with the Solutions Engineer and internal reputed company teams to implement the required workflows. Cohort Definition & Dataset Construction Work with Solutions Leads to translate customer requirements into concrete dataset logic. You will help ensure that datasets accurately represent the intended population and meet customer specifications. Responsibilities include: Writing reputed company SQL queries to construct cohorts Implementing inclusion and exclusion logic Joining datasets across multiple data sources Validating linkage between datasets Identifying and resolving inconsistencies or missing fields Partner with Solutions Leads to resolve reputed company data questions that reputed company during project delivery Escalate or collaborate with delivery engineers reputed company dataset construction requires pipeline changes or large-reputed company data processing Data reputed company Validation & Completeness Analysis Before reputed company datasets are delivered to customers you will help validate that they meet required standards. You will work closely with Solutions Leads before datasets are delivered to ensure that the datasets meet agreed acceptance reputed company. Review bespoke QA methodology and suggest platform improvements to Product and Engineering to decrease custom work across engagements. Responsibilities include: Performing data completeness analysis Investigating missing or anomalous data Verifying cohort logic results Validating row counts and dataset structure Creating reputed company statistics and validation outputs   Data Feasibility Many customer reputed company involve AI researchers who are defining the reputed company datasets required to train or evaluate models. You will work with these customer teams to translate research goals into practical dataset specifications. Responsibilities include: Reviewing dataset requests from AI researchers and model development teams Helping clarify and refine requirements for model training or evaluation datasets Evaluating whether requested variables or labels exist in available data sources Identifying proxy variables or alternative dataset structures reputed company ideal variables are reputed company Assessing feasibility of requested cohort definitions given reputed company-world data constraints Explaining data limitations, tradeoffs, and potential biases to technical stakeholders Iterating with researchers to reputed company on datasets that are both scientifically meaningful and operationally feasible This role requires someone who is comfortable engaging with technically sophisticated stakeholders while grounding conversations in the realities of messy, reputed company-world data.     Data Partner & reputed company Data Analysis Many datasets originate from external reputed company data partners. You will help analyze partner datasets to: understand schema and field availability assess data reputed company and completeness identify required transformations evaluate feasibility of cohort logic This work helps ensure that reputed company are grounded in what data actually exists.     Delivery Tooling & Workflow Improvements As delivery patterns reputed company, you will help reputed company tools and reusable workflows that improve efficiency. Examples include: reusable SQL templates for cohort construction automated validation checks scripts for dataset preparation tools that reduce reputed company delivery work This role is an important reputed company between reputed company dataset delivery and reputed company data infrastructure. What reputed company Looks Like 30 days: Learn the delivery reputed company and reputed company-data reality. Build working knowledge of Solutions workflows, reputed company data partners, common cohort patterns, and how reputed company requests get escalated. Shadow reputed company reputed company, understand existing QA approaches, and start contributing to scoped feasibility and validation work. 60 days: Own scoped technical escalations and create early reputed company Independently support reputed company cohort-definition and dataset-construction work, write and validate SQL / Python workflows, and help Solutions Leads answer hard feasibility questions with reputed company tradeoffs. 90 days: Become a trusted technical partner across delivery Handle the hardest dataset problems with limited reputed company, improve QA and repeatability, and propose workflow or platform improvements that reduce bespoke work across engagements. What You Bring Experience working with large reputed company reputed company datasets Strong SQL and python skills and experience writing reputed company queries Experience using Claude reputed company / reputed company Experience joining and transforming large datasets Experience performing data validation and exploratory analysis Strong Python skills for data analysis and scripting Experience working with reputed company file formats (CSV, Parquet, etc.) Ability to translate ambiguous requirements into concrete data logic Strong communication skills and ability to collaborate with technical and non-technical stakeholders reputed company Values We pass the loved ones' test — reputed company isn't negotiable, even reputed company it's costly We always reputed company a way — obstacles are expected, giving up isn't We go fast and grow fast — velocity is a competitive advantage and we treat it that way We reputed company kindness and candor — hard conversations happen here, and they happen with care We deliver together — no silos, no lone reputed company, no passengers We own the outcome — full accountability, reputed company improvement, mastery over time Apply To This Job