Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
About the role
- Data Scientist leading analytical projects and collaborating with business partners to solve specific business problems for Amgen operations. Utilizing advanced analytics to create significant business impact.
Responsibilities
- Lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems
- Lead advanced analytics projects from the front and will be responsible for end to end execution
- Innovate and create significant business impact through the strategic use of advanced analytics techniques
Requirements
- Experience leading the projects and in executions of the projects end to end
- Experience with databases including relational, SQL, and Graph
- Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
- Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment
- Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
- Excellent organization/planning skills and talent for managing many large and complex datasets
- Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
- Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
- Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
- Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
Benefits
- No travel or relocation expenses provided
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.
Staff Data Scientist at GoodLeap driving data strategies for sustainable finance and software solutions. Collaborating with analytics teams to prioritize impactful analysis projects.
Senior Data Scientist developing AI - driven solutions for Autodesk, improving scalability and cost efficiency. Collaborating with cross - functional teams to deliver innovative data - driven strategies.
Data Scientist role at Novo Nordisk focused on AI/ML and biologics design. Involves developing computational solutions for drug discovery targeting chronic diseases like obesity.
Senior Data Scientist developing data models and insights for AI compliance engine. Collaborating with teams to optimize product performance in legal workflows.
Head of Data Enablement overseeing analytical responsibilities at Bank of America. Leading teams to drive data product and marketplace strategy to enhance business insights.
Leader in Data & AI Assurance shaping financial services transformation at Lloyds Banking Group. Overseeing risk management and ensuring safe adoption of AI technologies.