Job Description

Digital Pharmacist’s Advanced Analytics team is looking for a talented individual who is passionate about designing, implementing, and operating analytical solutions that have direct and measurable impact to Digital Pharmacist and its customers. As a data scientist, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving internal data integrity, customer churn prediction, and operational efficiency across the company, from operations to sales to retention and digital marketing. This is a new role, presenting exciting challenges to utilize traditional machine learning and data science techniques. On this team, you will help develop a strong data foundation and push the limits of existing data science methods while delivering tangible business value. Where You Will Make An Impact

• Apply your expertise in quantitative analysis, data mining, and the visualization of data in developing data-informed strategies for growing and improving our product offerings and customer satisfaction.
• Define and standardize the analytics, metrics and dashboards that will allow immediate and significant business results.
• Ensure operational and business metric health by monitoring key business decision points.
• Partner with customer facing and IT teams to build a world class pipeline generation engine to fuel the growth in both current and future market segments. 
• Identify new opportunities to leverage our data and systems to improve business performance.
• Drive solutions with the Operations, Sales, Finance, and IT teams to optimize the Digital Pharmacist’s ability to generate more revenue and improve customer retention.
• Communicate results of analyses to business partners and executives.

The Day to Day

• Define and be responsible for key performance indicators for the global key organizations.
• Enable a best-in-class sales forecast, pipeline and renewal operating cadence. This will include everything from assembling data, improving predictive measures, running analysis, and facilitating forecast calls.
• Track and report on performance metrics (Leads, MQLs, Opportunities, Closed Won deals, etc.), using this data to continually optimize campaign performance.
• Align and own the roadmap for Operations enhancements. i.e., Sales & Marketing technology stack & tools.
• Set the standard for fast A/B testing, experimentation and iteration to continuously improve campaign performance.
• Identify opportunities for product optimization in the customer journey and champion product changes to facilitate growth channels.
• Build processes and controls to ensure data integrity and promote operational efficiency.

Preferred Qualifications

• M.S. in quantitative discipline (Computer Science, Machine Learning, Statistics, Operations Research or related field) with 2+ years experience applying data science to real business problems; or

• B.S. in a quantitative discipline (Computer Science, Machine Learning, Statistics, Operations Research or related field) with 5+ years experience applying data science to real business problems

• Experience in SQL and Python/R required.

• Experience with cloud-based data platforms and managed services, Data Lake infrastructure, Data Warehousing (e.g. Google Big Query, MySQL), and CRM Tools (e.g. SalesForce)

• Experience with business intelligence tools (Looker, Tableau, etc.) required.

• Demonstrated knowledge and experience of marketing technologies like Salesforce, Google Adwords, and more.

• Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.

• Excellent ability to think strategically, analyze large data sets, create an articulate, engaging narrative, and craft data visualization that is contextually impactful.

• Applicants must be currently authorized to work in the United States for any employer

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