Senior Data Scientist

Company Description

Publicis LifeSpeed is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people’s lives by connecting real-time data with world-class creative, content, and media in service of growth and ROI. 

Publicis LifeSpeed is a “power of one” solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the energetic atmosphere of a startup company with the stability and experience of a global leader.

Job Description

We are looking for a Senior 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.

EXPECTATIONS:

We are looking for 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.

WHAT WILL IT TAKE

An 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.

Qualifications

WHAT YOU WILL BRING

• 2-4 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

All your information will be kept confidential according to EEO guidelines.