Analyst, Data Science

Company Description

PHM is the leading health media agency in the US. We are designed for—and dedicated to—delivering best-in-class solutions that connect people with meaningful health and wellness solutions every day. Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps real patients navigate the most pivotal moments of their healthcare journeys.  
 
While we have grown to be the No. 1 agency in our industry, at heart we’re still a startup. It’s that energy and spirit of innovation that allows us to create bold and meaningful “health media firsts” for our clients, and to do it all with #phmlove.  

Job Description

Manages all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) for client projects. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior 

Key Responsibilities: 

• Identifies and develops solutions to add to PHM’s advanced analytics portfolio 
• Analyzes large datasets to extract actionable insights and inform experimental design and model development 
• Participates in the development, validation and delivery of algorithms, statistical models and reporting tools 
• Works in a team environment, interacting with multiple departments including internal and external customers 
• Translates business questions and apply statistical models and analyses to answer questions in an actionable and reproducible manner 
• Drives automation of reoccurring reports and model monitoring systems 
• Mentors and helps train junior level team members 

Qualifications

• Bachelor's degree in statistics, mathematics, or equivalent required, with master’s degree preferred 
• At least 3 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent 
• Advanced proficiency in AI powered tools such as Datarobot or equivalent 
• Advanced proficiency in multivariate analytics, econometric modeling, Bayesian probability, and analysis of variance, with advanced knowledge of data management concepts and SQL preferred 
• Experience building production-grade statistical or matrix-based models  
• Demonstrates proficiency in time series ensemble modeling, multivariate regression and classification, survival analysis, cluster analysis, design of experiments, and machine learning algorithms learning algorithms 
• Familiarity with cloud technologies such as AWS, Google Cloud Platform, or Microsoft Azure 
• Excellent written and verbal communication skills 

Additional Information

Compensation Range:  $52,500 - $80,000 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.

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