Company Description

INSAGIC, a Publicis Health company, is a next-generation insights and advisory business that combines data, design, and dialogues to deliver the activatable insights and transformational intelligence that healthcare marketers need to succeed and grow in today’s platform world. INSAGIC is home to more than 50 innovative behavior scientists, data scientists, ethnographers, linguists, strategists, researchers, and designers—all united around the vision of creating a world where connected health intelligence.

Job Description

We are looking for a Data Scientist to join our growing analytics capability at INSAGIC. The Senior Data Scientist will be responsible for the development and implementation of best-in-class healthcare data and analytics solutions and products.  We are seeking a hands-on data science practitioner that will help us build best-in-class healthcare marketing deliverables and new products. The INSAGIC Data Science and Engineering Team combines cutting-edge analytic methodologies with high volumes of real-world health and consumer data to provide activation ready insights to drive better business outcomes.

Qualifications2-4 years of professional hands-on experience with predictive modeling, measurement, and advanced analytics (including segmentation techniques) using large datasets.Proven knowledge and experience developing data & analytic solutions with statistical software such as Python or R – required.Proven knowledge and experience performing efficient and effective queries utilizing SQL – required.Understanding of data visualization best practices, preferably using BI tools such as Tableau.Experience operating within agile methods & frameworks desired.Ability to develop practical solutions and applications of advanced analytics/supervised & unsupervised learning techniques such as Regression, Clustering, Decision Trees, Neural Networks, XGBoost, NLP, etc.Experience with data infrastructures required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and AWS technologies.Demonstrate the ability to work within ambiguity & evolving business needs.Understanding of data privacy best practices/HIPAA compliance and security of data in use.BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field or advanced Degree (MS/MBA/PhD) preferred.

Additional Information

Compensation Range: $70,000 - $110,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 07/26/2024.

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