Make $25 - $35 Per Hour Doing Simple Jobs From Home.
What is your current level of experience in freelance work?
ML & Data Science Contractor for Healthcare Market and Site Selection Analysis
Job Overview: We are seeking an experienced contractor to help refine and scale our machine learning model that predicts customer acquisition potential at site locations for a healthcare services company in the U.S. This project involves enhancing our current model through data collection, processing, and model refinement, as well as building infrastructure for generating new site predictions at scale. Project Responsibilities: Data Collection & Processing: -Increase sample size for model by ingesting data from various sources (e.g. csv, pdf, claims data) Model Refinement: - Refine our demand allocation methodology, with a focus on gravity modeling. - Test various modeling approaches and predictors to improve forecast accuracy. - Identify and resolve data leakage issues to ensure robust model performance. Infrastructure & Prediction Generation: -Develop or enhance infrastructure to automate the generation of predictions for new sites. -Convert site selection analysis into a comprehensive whitespace analysis that scales across multiple locations simultaneously. Required Skills & Experience: -Proven experience in data collection, cleaning, and preprocessing, especially from unstructured sources like PDFs. -Strong proficiency in Python for data science, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). -Familiarity with spatial analytics and demand allocation models (e.g., gravity modeling) is highly desirable. -Experience working with healthcare data and claims datasets is a plus. -Ability to design and implement scalable data processing and prediction pipelines. -Excellent problem-solving skills with an ability to identify and address data leakage issues. Preferred Qualifications: -Prior experience in healthcare analytics, particularly with market potential and site selection analysis -Demonstrated ability to work with both structured and unstructured data sources. -Strong communication skills to collaborate with our internal team and translate technical findings into actionable business insights. -Experience with cloud-based infrastructure (e.g., AWS, GCP) for deploying scalable data solutions.