Mitchell Shuster Email & Phone Number

Philadelphia, Pennsylvania, US

Machine learning (regression, neural nets, SVMs, clustering, PCA, anomaly detection, etc.).Version control systems (specifically Git) for contributing to production code.Unit tests for automated testing of code during development and prior to promoting to production.Relational database design and maintenance, optimized for application-specific.

Paris, France, FR

• Lead a group of up to eight direct reports with varied backgrounds (data science, application development, data modeling, data governance, DevSecOps, etc.) and various consultants across multiple high-priority projects.
• Manage cross-functional, technical teams building end-to-end solutions including the creation of industrialized workflows for machine learning generation and prediction; user-facing applications for data analysis and.
• Introduce new ways of working (true agile methodologies), empowering developers, improving project delivery cadence and quality, improving alignment to business needs, and retaining talent for the organization.
• Establish the team’s strategic direction and set goals, aligning to overall organizational strategy and user needs.
• Coordinate with other sub-team leads and other parts of the organization to align on priorities and ensure support.
• Balance the delivery of key software products, developing foundational capabilities to support broad present-day needs and longer term value, and ensuring the creation of robust tools and architectures to allow for.

Dublin 2, IE

• Leading teams in Life Sciences on Data Science and other projects. Some example roles and responsibilities:
• Act as a Data Science or Life Sciences Subject Matter Expert (SME) on proposals and presentations for $0.5m to $60m deal pursuits, starting at the RFP response stage and continuing through final oral presentations.
• Build teams for project delivery, assessing resumes and interviewing candidates for technical capabilities and fit.
• Mentor personnel from a range of backgrounds, providing career guidance and conducting performance reviews.
• Architect and execute on the creation of a domain-specific language (DSL) to accelerate the creation of electronic Clinical Outcome Assessments (eCOA) and configurations for data collection via connected devices for.
• Provide direction and technical expertise on feature definitions, analytics methodologies, actionable indicators, summary statistics, and UX considerations for dashboards targeted at providing portfolio-level status.

Warren, NJ, US

Data Science Lead/Project Lead, Global Pharmaceutical Company- Led a team of three to six data scientists in building machine learning, statistical, and other analytic models to predict various important parameters for clinical trial planning such as rate of recruitment, site activation dates, and study enrollment over time- Ran a team of data scientists.

Santa Clara, California, US

Develop recipes for front-end dry etch semiconductor processing, maintain equipment to support development and manufacturing needs, and design experiments to facilitate the above. This work will become the basis for Intel's worldwide high-volume manufacturing at the newest technology node.Carry out data mining to identify root cause sources of problems.

University Park, PA, US

Developed techniques for creating novel surfaces and nanoscale devices using a combination of nanofabrication, thin film deposition, self-assembly, soft lithography, and surface chemistry.Administered the laboratory’s internal network and external-facing website.Mentored undergraduates and trained colleagues in the use of equipment and lab procedures.

Doctor Of Philosophy (Phd), Physics

Bachelor'S Degree, Physics