Seeking a Senior Data Scientist with DevOps/MLOps, Python experience for a 100% Remote position to work with healthcare claim data.
This role is responsible for monitoring, installation, configuration, administration, troubleshooting and maintenance of multiple data science tools technology solutions. Administrators analyze RStudio Server and or Jupyterhub requirements and lead infrastructure and design, implementation planning, architectural diagrams and system documentation. They also provide technical support and troubleshoot problems and perform scripting/programming to ensure stable and efficient operation of database tools. Administrators drive and implement automation enhancements and process improvement efforts, are assigned to multiple complex systems.
Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team.
Responsibilities
- Maintain and plan upgrades to the existing Data Science Infrastructure
- Work with the Data Scientists to build ML pipelines
- Act as one of the Admins. who helps Data Scientist and Analysts resolve their issues
- Be instrumental in helping the Data Scientists and Analysts push their process and models to production while following company audit guidelines and best practices
- Periodically help with maintaining and updating some internal Data Science packages in Python / R
Project Ownership
- Support large projects, and manage smaller projects in their entirety
- Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.\
- Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
- Identify and communicate roadblocks.
- Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities
- Effectively participate in meetings with customers and emerging ability to guide discussion and decision making.
Data Analysis
- Acquire and bring structure to data so that it can be used in existing and new data systems.
- Build tools that help you and the other Data Scientists translate insights into action at scale.
- Identify, define and translate business needs/problems into analytical questions.
- Design and execute experiments, models, algorithms, and visualizations
- Understand data sources and limitations, warehousing system and the impact of the data on business decisions.
- Identify, retrieve, and manipulate data from internal and external datasets.
- Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.
- Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
Requirements
- 3-5 years related work experience in advanced analytics or equivalent combination of transferable experience and education
- Infrastructure maintenance experience related to DevOps/MLOps (Machine learning) required (not DB maintenance)
- Linux experience is required
- Programming knowledge of either Python or R is required
- Working knowledge of RStudio or Jupyterhub HIGHLY PREFERRED
- Requires experience with Object oriented programming such as Python or Java. and statistical packages – 2 yr of R or Python.
- Requires expert proficiency in SQL
- Requires experience with visual analytical packages such as Tableau or Microsoft Power BI
- Strong analytical and problem-solving skills
- Experience in supporting large projects, and manage smaller projects in their entirety
- Ability to partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.
- Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
- Must have applied experience with advanced analytics e.g. predictive analytics models
- Must have applied experience in Machine Learning
- Experience in Big Data - e.g. Hadoop
- Business Intelligence tool development
- Other programming experience - Java, Perl, Python, UNIX/Linux scripting
- Healthcare, medical, or pharmaceutical work experience
- Experience with analysis around quality, consumer experience, and healthcare costs
- Experience in consumer analytics
- Experience in business analytics\
Education
- Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (ie: specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience