What are the responsibilities and job description for the SR. DATA SCIENTIST position at Digitive LLC?
Job Details
Title: SR. DATA SCIENTIST
Location: Raleigh, NC
We are seeking a Senior Data Scientist with 8 to 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, Google Cloud Platform, and Azure.
This role requires expertise in Azure AI, Azure AD, and Azure.
Experience : 8to12Yrs
Required Skills : ,Python,Azure,Azure AD,R Shiny,Azure AI,SQL,Data Science,AWS,Google Cloud Platform,AWS / Google Cloud Platform / Azure Cloud
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 REQUIREMENTS
. Masters degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred.
. 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.
. 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 Google Cloud Platform is a plus.
. Strong problem solving skills, intellectual curiosity, and a proactive approach to driving impact through data science.
