[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. They are seeking a highly motivated and experienced Senior Data Scientist to join their Data Platform team, where the role involves designing, developing, and deploying machine learning models and advanced analytics solutions.ResponsibilitiesDesign, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasksCollaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysisConduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML librariesImplement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methodsDevelop reproducible, well-documented code using Python and industry-standard ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow)Communicate findings and insights to both technical and non-technical stakeholders through clear visualizations and presentationsTranslate business problems into machine learning solutions and contribute to model operationalization strategiesStay current with advancements in machine learning, AI, and data science practicesSkills5-7 years of professional experience developing machine learning and data science solutions in production environmentsStrong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etcExperience with ML model development, evaluation, and deployment workflowsExperience with MLOps tools and practicesHands-on experience with SQL and working with large-scale relational datasetsSolid understanding of statistical modelling, data mining, and algorithm developmentExperience working in cross-functional teams and translating business needs into technical solutionsExcellent communication, problem-solving, and analytical skillsExperience deploying ML models using Azure Machine Learning or other cloud-native ML platformsFamiliarity with Snowflake for data access, feature storage, or model deployment integrationBenefitsCompetitive health plans (medical, dental, & vision insurance)PTO (starting at 20 days) & 12 company holidays401(k) with company matchTelemedicine service provided by ESOSavings accounts (FSA, HSA, DCA)Employee Assistance Program (EAP)Annual health and wellness reimbursementPeace of mind benefits such as life insurance, disability insurance, and worksite benefitsPaid parental leave, new child program, & flexible parental return-to-work optionsCasual office environments and unlimited office snacks and drinksCompany OverviewESO is a computeer software company that develops a software intended to improve community health through the power of data. It was founded in 2004, and is headquartered in Austin, Texas, USA, with a workforce of 501-1000 employees. Its website is https://www.eso.com/.Company H1B SponsorshipESO has a track record of offering H1B sponsorships, with 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.