Manager, Data Science

Medisca is a global corporation with locations throughout North America, Australia, and Europe, that contributes to healthcare by leveraging strong partnerships that deliver customized solutions with an unwavering commitment to quality and innovation. Backed by 30+ years and a strong foundation in pharmaceutical compounding, Medisca is a business-to-business company that delivers comprehensive offerings by providing value, consistency, responsiveness, and loyalty. From pharmaceutical compounding products and services, to supply chain solutions, mixing technology manufacturing, analytical testing, IP licensing, to education services and more - Medisca delivers extensive solutions that leverages a strong network of partners committed to deeply caring about people. As **Partners in Wellness**, Medisca offers an unfailing devotion to improving lives, across a multitude of needs and across a multitude of people.

**The opportunity**:

- Leverages operations research tools to optimize business processes. Finds new opportunities for solving business problems in global operations.
- Champions data-driven decision making across functions by making analytical recommendations based on operational, financial, customer data and benchmarks.
- Uses advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques.
- Applies data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple projects leveraging real world data.
- Manages data science models, algorithms, simulations, and experiments, and maintain high codebase and documentation quality.
- Uses data, visualization, slide-based storytelling, and data technologies to scope, define and deliver AI-based data products, as well as communicate insights with leadership to strategically influence decisions of business operations management and create value.
- Works on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.
- Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication.
- Provides advanced data mining techniques to provide fact-based analysis. Leverages agility and creativity to maximize value and insight delivered by data analysis. Utilizes varied and complex data sources, including enterprise data lake, cloud and diverse source systems.
- Understands how the risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Champions a high-performance environment and contributes to an inclusive work environment.
- Assemble and analyze data to understand customer behavior from existing Medisca data, external data sources and emerging sources.
- Ability to understand business stakeholder's issues and create valuable insight.
- Represents the department in committees within the organization.
- Leads the prioritization of project-based work with key business stakeholders.

Managing a team
- Leads and mentors junior and senior data team members as required to help them grow and thrive.
- Drives accountability, sets performance objectives, holds regular team meetings and communicates direction and changes, and trains the team.
- Manages day-to-day operations, ensures on-time project completion, on-time and error free report submissions.
- Coordinates with internal teams for upcoming projects to ensure the proper materials are available.

**Skills, knowledge and abilities**:

- Postgraduate degree in analytics, data science, engineering, statistics, mathematics or related fields
- Eight (8+) plus years of experience in managing and analyzing data with advanced techniques
- Experience leading people, analytics, operations research techniques such as process optimization and simulation techniques
- Strong understanding of operations research (linear and mixed integer programming) and experience building price optimization models, promotional targeting, and a/b testing
- Holds vast industry knowledge, with diverse products, services, policies and procedures, regulations and related regulatory requirements is an asset
- Understand of different AI models, tools and concepts
- Knowledge of Python, SQL, Power BI and DAX, Expertise with core data science tools and familiarity with different database systems (e.g., SQL)
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Experience with churn, CLV, customer segmentation and persona building
- Working with the team as well as, software developers, engineers, sales and SME’s
- Excellent presentation skills and business acumen, able to present information to relevant stakeholders at all levels of the organization
- Excellent interpersonal skills, keeping a customer focus
- Knowledge of the Microsoft Office suite (Word, Outlook, Teams and Excel) required
- Exceptional communication skills; fluent French and English (oral & wr