Our client is looking for a highly skilled Data Scientist with experience in Healthcare/Biopharma data. You will be critical in designing and implementing analytical frameworks, developing predictive and prescriptive models, and translating data into actionable recommendations. You will work with diverse datasets and collaborate with cross-functional teams to influence strategic decisions by applying data science methodologies. In this role, you will also engage directly with clients, translating complex analytical concepts into clear business insights and ensuring that data-driven solutions align with their strategic objectives. * Starts mid April for 6 month contract (extension possible) * Work schedule will be Mon thru Fri, 8 hours per day, 40 hours per week * You MUST be able to work in US Business hours * This is 100% remote position * Experience with Healthcare or Biopharma data * YOU MUST UPLOAD YOUR RESUME IN MICROSOFT WORD TO BE CONSIDERED RESPONSIBILITIES - Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies. - Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. - Work with large-scale healthcare datasets, including claims, prescription, digital engagement logs, and survey data, to derive insights into HCP behavior. - Partner with commercial, marketing, and business development teams to translate data insights into strategic recommendations that enhance customer engagement. - Act as a key data science representative in client engagements, effectively communicating insights, methodologies, and recommendations to technical and non-technical stakeholders. - Have broad analytics experience or innovative knowledge and use skills to contribute to achieving client objectives in creative and effective ways. - Foster innovation by exploring and integrating emerging technologies and methodologies. REQUIREMENTS - 6+ years experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency with programming languages like Python, R, and SQL. - Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics. - Strong background in predictive modeling, classification, segmentation, and optimization. - Experience with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data. - Experience engaging with clients and strong ability to bridge the gap between technical and business audiences. - Ability to translate complex data science concepts into strategic business insights for non-technical stakeholders. - Experience deploying models in cloud-based environments (AWS, Azure, or GCP) is a plus. - Strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science. IF YOU DO NOT UPLOAD YOUR RESUME, YOU WILL NOT BE CONSIDERED.
Keyword: Machine Learning
Contractor Tier: Hourly: $50.00 - $55.00
Price: $52.5
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