Job description

Sr. Data Scientist (Healthcare) - Raleigh, NC (Hybrid) job at Lorven technologies. Raleigh, NC. Our client is looking for a Sr. Data Scientist for Long Term Contract project in Raleigh, NC (Hybrid) below is the detailed requirement. If you are interested kindly share your updated resume to proceed further. Job Title : Sr. Data Scientist Location : Raleigh, NC (Hybrid) Duration : Long Term Contract Experience : 12+ Yrs Domain : Healthcare Industry Required Skills : Python, Azure, Azure AD,R Shiny, Azure AI, SQL, Data Science, AWS, GCP, AWS / GCP / Azure Cloud Job Description: Job summary : • We are seeking a Senior Data Scientist with 12+ years of experience to join our team. • The ideal candidate will have a strong background in Data Science, SQL, R Shiny, Python, and cloud platforms such as AWS, GCP, and Azure . • This role requires expertise in Azure AI, Azure AD, and Azure. 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 data, prescription data, digital engagement logs, and survey data, to derive insights on 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 both 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. Qualification: • Masters degree or equivalent 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, Do Why to marketing and engagement analytics. • Strong background in predictive modeling, classification, segmentation, and optimization. • Familiarity 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

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