Senior Data Scientist

Company Description

CoLab is a fully integrated, interdisciplinary team that delivers top-tier services in a versatile and flexible manner. Our clients are our main focus, and we facilitate brand movement at the pace of people's lives by linking real-time data with elite creative, content, and media to foster growth and return on investment.

CoLab is a "power of one" solution, which encompasses data, media, and production. By drawing from the extensive Publicis Groupe network, we are distinctly placed to offer innovation and specialized skills to our clients, whilst providing enriching opportunities and inclusive benefits to our employees. We take pride in blending the ambiance of a startup company with the stability and experience of a global leader.

Job Description

We are seeking a Senior Data Scientist to join our expanding analytics wing at Insagic. The Senior Data Scientist will be accountable for the development and execution of top-quality healthcare data and analytics solutions and products. We are seeking a proactive data science practitioner that will help us fabricate top-tier healthcare marketing deliverables and new products. The Insagic Data Science and Engineering Team merges state-of-the-art analytic methodologies with high volumes of real-world health and consumer data to provide activation-ready insights to support better business results.

EXPECTATIONS:

We are seeking a proactive data science practitioner who is enthusiastic about discovering information concealed in large quantities of real-world health and consumer data to assist us in building superior products and aiding our clients in making intelligent decisions. The successful candidate will showcase a blend of Data Science and Engineering skills. Your chief focus will be on applying data mining techniques, performing statistical analysis, and building high-quality prediction models using languages such as Python, R, and SQL. Beyond mere technical skills, we are seeking an individual who is not only passionate about working with large quantities of healthcare data – but also someone who is excited about discovering meaning within that data to successfully transform our client's business and marketing problems into continual healthcare interventions/solutions.

WHAT WILL IT TAKE

An Entrepreneurial Spirit: Enthusiasm for working in a fast-paced startup environment focused on building innovative products and solutions, challenging industry norms.

An Eye for Flawless Delivery: Ensure that the creation of deliverables is of the highest quality (including QA/QC procedures) and have the ability to foresee and diagnose the needs and difficulties of clients before they emerge.

A Deep Understanding of Applied Machine Learning: Visible in-depth knowledge and practical commercial experience in the use of machine learning & predictive analytics with a proven track record of results/case studies.

A Flair for Repeatability & Driving Efficiencies at Scale: Passion for coding and creating repeatable & scalable data products that can be repurposed for a broad range of client use cases.

A Deep Level of Curiosity: An ambition to go beyond the norm and delve deep into large datasets to uncover 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.
• Demonstrated knowledge and experience in developing data & analytic solutions with statistical software such as Python or R – required.
• Proven knowledge and experience in 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.
• The 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 range of sources using SQL and AWS technologies.
• Ability to operate within ambiguity & changing 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

Salary Range: $81,500 - $137,500 annually. This is the pay range that the Company believes it will offer for this position at the time of this posting. In accordance with applicable law, the compensation will be decided 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 provide medical coverage, dental, vision, disability, 401k, and paid time off.

About Publicis Health

Publicis Health is the premier global health and wellness communications network. We are one of the four solutions hubs of Publicis Groupe, the third-largest advertising and media company globally, giving us unparalleled global reach. We administer top-tier agencies specializing in promoting innovative solutions in advertising, medical education, clinical trial program development, sales and marketing, digital, market access, and medical and scientific affairs. Our approximately 6,500 employees work at 15 agency brands across 60 offices located in 10 countries. We are a connected solutions hub, primed for continual business transformation in today's world. We integrate services across our global offices and brands to deliver on our clients’ needs. Each of our agencies brings a unique approach to business, making us even stronger together. We understand the constantly changing healthcare environment and use it to maximize the potential of our clients' brands.

All your information will be kept confidential in accordance with EEO guidelines.