What are the responsibilities and job description for the Data Scientist position at MMS?
Job Description
Job Description
About MMS
MMS is an innovative, data-focused CRO that supports the pharmaceutical, biotech, and medical device industries with a proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS maintains a 97 percent customer satisfaction rating.
Our mission is to deliver high-quality service and technology solutions – rooted in strong science and decades of regulatory experience – that will assist our clients in developing and marketing life-changing therapies to positively improve lives worldwide.
MMS recognizes that a talented staff is what drives our business forward. Identifying and attracting top talent and continual training to strengthen core skills are essential to its core mission. At MMS, enthusiasm, collaboration, and teamwork are fostered, knowing that a global and diverse talent pool makes the company stronger. For more information, visit www.mmsholdings.com or follow MMS on LinkedIn.
Responsibilities :
- Independently maintain a strong understanding of regulations and guidance as they pertain to data centric deliverables; mentors others and advises on MMS on industry trends and technologies
- Lead the design and development of advanced Power BI reports and dashboards
- Strong understanding of new methods, tools, and solutions to meet the needs of internal and external stakeholders and teams
- Develop and deliver training for internal and external stakeholders regarding Data Science processes and deliverables
- Ability to develop Power BI solutions that pull data from multiple data sources (internal and external)
- Provide guidance on data modeling and DAX calculations
- Work with customers to demonstrate capabilities and gather requirements
- Collaborate with stakeholders to define data requirements
- Ensure data security and compliance
- Troubleshoot and optimize Power BI reports
- Prepare, correct, modify, and analyze data sets using complex analytic techniques
- Strong experience mentoring others, both technical and non-technical, toward a better understanding of data science methodologies and results
- Stay updated with industry trends and best practices
Requirements :
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