Associate Data Scientist

RequirementsMS or higher in the following areas: Statistics, Mathematics, or Computer ScienceAt least 1 year of professional industry experience, in addition to your academic experienceOutstanding analytical skills and the ability to communicate quantitative results to technical and non-technical audiencesStrong knowledge of Statistics/Probability/Machine Learning including core concepts of hypothesis testing, inference, bias-variance trade-off, regularization, dimensionality reduction etcExperience using supervised and unsupervised statistical techniques such as regression, classification, and clusteringExperience with popular machine learning algorithms such as random forests, Boosting, and neural networksExperience with Applied NLP methods is a strong plus, including topic modeling, text classification, word embeddings, and named entity extractionStrong programming experience in Python and one or more of the following: Scala/Java or RExperience with SQL and/or SparkKnowledge of data structures and algorithm complexityYou are a quantitative thinker who wants to develop further as both a data scientist and an engineerYou are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world's leading financial services companiesYou are excited to apply your existing expertise in fields such as statistics and computer science to solve mission critical problemsYou are excited to work at a fast-paced startup where you will have a chance to expand your scientific and engineering skills to new areasYou share Quantifind's commitment to winning together, and are eager to see your coworkers build on the technical foundations you will be creatingYou are passionate about maintaining the high scientific and engineering standards required to enable your peersAbove all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impactWhat the job involvesMembers of the Data Science team prototype and build complex Machine Learning solutions, improve and refine existing products through data-driven development cycles, and support our customers extract the maximum value out of Quantifind's Graphyte platform through proofs of concepts (POC) and purpose built solutions as necessaryWe work closely with the Product Management and Platform teams to anticipate company needs and quickly put state-of-the-art Data Science and AI tools into the hands of end usersCollaborating with fellow team members and key stakeholders, such as, Product Managers, Platform Engineers to explore ideas, test hypotheses, and prototype solutionsWorking in an agile environment breaking down complex problems into smaller manageable tasks with the help of your teammates and managerLeveraging SQL, Python and PySpark to analyze large unstructured data sets to answer key business questions, inform research directions, or set up modeling tasksDesigning, writing, and maintaining ETL pipelines for integrating large and complex datasetsExperimenting with novel ways to use existing data-based solutions to support customers' unique challengesTraining machine learning models to solve complex problemsImplementing Data Science solutions in our Production Scala codebase following software engineering best practicesLeveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data labeling, extracting structured information, …)Participating in code reviewsJ-18808-Ljbffr