Senior Data Scientist

3 weeks ago


New York, United States Sunday Dropout, LLC. Full time

The fastest path to relevant recommendations and searchShaped is the fastest path to relevant recommendation and search systems. We help companies turn their behavioral data into truly relevant product and website experiences.We're a Series A companies based in Brooklyn, New York and backed by top investors from Madrona, Y-Combinator and executives from Meta, Google, Amazon and UberJob DescriptionSkills: ML, Python, SQLWe're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform. Responsibilities include connecting external data sources to Shaped, creating ranking models with our declarative SQL interface, and helping customers achieve their business objectives.As a founding Senior Data Scientist, you'll collaborate with a diverse range of customers to solve their ranking challenges. Additionally, you'll contribute to shaping our product roadmaps and engineering culture.We're excited to work with you. Come build the future of AI with usQualificationsPast experience working with recommendation systems in productionBachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.3+ years of industry experience in a software engineering, data science or solutions architecture roleProficient with Python, SQLHave the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solvingIn-depth knowledge of mathematics, statistics and algorithms.Operate well within fast paced, small teamsExcellent written and verbal communication skills.ResponsibilitiesBecome an expert at using the Shaped ranking platformExperiment with ranking models for customer's discovery use-casesAnalyze data to identify performance improvements for customers' models swiftlyExperiment with pre-trained image, language, audio and video embedding models that understand our customer's discovery dataBuild strong relationships with customers' technical teams and leaders to ensure long-term success with ShapedDeliver technical demos to showcase the Shaped's capabilities to customers.Proactively communicate with customers on timelines, updates and next stepsTechnologyCustomers typically use Shaped as follows:Connect your data stack, e.g. data warehouse, database or analytics applicationsDefine your model. This includes your optimization objective (e.g. clicks vs purchases vs shares), item and user catalogs, feature types and model types.Consume your results from our real-time, scalable ranking endpointsEvaluate uplift and model results on our dashboard.To power all of this, under the hood, we've built a multi-tenanted, real-time machine learning architecture which automatically sets-up and ingests data both in real-time and batch, transforms data and stores it into our proprietary feature/vector store. Ranking models are continuously optimized and fine-tuned based on real-time feedback ensuring customers are seeing the most relevant and up-to-date results possible.From a machine-learning perspective we use state-of-the‑art large scale neural encoding models to understand multi-modal data types such as image, text, audio and tabular data. We provide an exhaustive library of retrieval, ranking and ordering algorithms which are selected based on the specified model definition. #J-18808-Ljbffr


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