[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.

Responsibilities

• Design, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasks
• Collaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysis
• Conduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML libraries
• Implement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methods
• Develop 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 presentations
• Translate business problems into machine learning solutions and contribute to model operationalization strategies
• Stay current with advancements in machine learning, AI, and data science practices

Skills

• 5-7 years of professional experience developing machine learning and data science solutions in production environments
• Strong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etc
• Experience with ML model development, evaluation, and deployment workflows
• Experience with MLOps tools and practices
• Hands-on experience with SQL and working with large-scale relational datasets
• Solid understanding of statistical modelling, data mining, and algorithm development
• Experience working in cross-functional teams and translating business needs into technical solutions
• Excellent communication, problem-solving, and analytical skills
• Experience deploying ML models using Azure Machine Learning or other cloud-native ML platforms
• Familiarity with Snowflake for data access, feature storage, or model deployment integration

Benefits

• Competitive health plans (medical, dental, & vision insurance)
• PTO (starting at 20 days) & 12 company holidays
• 401(k) with company match
• Telemedicine service provided by ESO
• Savings accounts (FSA, HSA, DCA)
• Employee Assistance Program (EAP)
• Annual health and wellness reimbursement
• Peace of mind benefits such as life insurance, disability insurance, and worksite benefits
• Paid parental leave, new child program, & flexible parental return-to-work options
• Casual office environments and unlimited office snacks and drinks

Company Overview

Company H1B Sponsorship