Company Description
Digitas Health is the Agency of Now: the first global connected-health agency, purpose-built for marketing today. Digitas Health specializes in helping health brands navigate a complex and shifting media environment to create deeper, more relevant connections with their consumer and professional customers. With offices in Philadelphia, New York, San Francisco, and London, it is a member of the world’s largest healthcare communications network,
Publicis Health. As a member of this elite network, Digitas Health is also a member of the Paris-based Publicis Groupe S.A. (Euronext Paris: FR0000130577), the world’s third-largest communications group, second-largest media counsel and buying group, and a leader in digital communications.
Web: www.digitashealth.com | Facebook: www.facebook.com/digitashealth | Twitter: www.twitter.com/digitas_health
OverviewWe are looking for a Senior Data Scientist to join our growing analytics capability. 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.
You will be a hands-on data science practitioner who is passionate in finding information hidden in vast amounts of real-world health and consumer data to help us build better products, and help our clients make smarter decisions. The successful candidate will have a mix of Data Science and Engineering skills. Your primary focus will be in applying data mining techniques, statistical analysis, and building high quality prediction models using languages such as Python, R, and SQL. Beyond technical skills alone, we are looking for an individual that is not only passionate about and comfortable with working with large sets of healthcare data – but also someone who is curious and excited about finding meaning within that data to successfully transform our client’s business and marketing challenges with continuous healthcare interventions/solutions.
ResponsibilitiesAn Entrepreneurial Spirit: Passion for operating within a fast-paced startup environment focused on building innovative products and solutions that challenge industry conventions.
An Eye for Flawless Delivery: Ensure the production of deliverables of the highest quality (including QA/QC procedures) with the ability to anticipate and diagnose client needs & challenges before they arise.
A Deep Understanding of Applied Machine Learning: Demonstrable in-depth knowledge and practical commercial experience of the application of machine learning & predictive analytics with proven track record of results/case studies.
A Flair for Repeatability & Driving Efficiencies at Scale: Passion for writing code and developing repeatable & scalable data products that can be re-purposed for a wide variety of client use cases.
A Deep Level of Curiosity: A desire to push beyond the status quo and dig deep into large datasets to identify disruptive truths hidden within the data.
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.
BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field or advanced Degree (MS/MBA/PhD) preferred.
Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
