Data Scientist

At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that possible.  Recognized as a Best Places to Work since 2015, we are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for our teammates. For over 24 years we have been helping clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success.  

Due to our growth, we are seeking a Data Scientist who will be responsible for interpreting data and translating business needs into the correct data solutions for eimagine and our partners. Addressing complex policy and management questions through data to provide the best outcomes for our partners, community, and eimagine is integral to this role. This hire will be heavily involved with health and human services-related data and analysis. A data scientist with previous experience and/or interest in health data, especially that related to Medicaid and its population, is a plus. An ideal candidate will be comfortable working on analysis in ambiguous conditions, enjoy working across disparate questions and data sets, and identify creative analysis, modeling, and prototypes to answer questions.

Description of Duties:

• Engage with key business stakeholders on diverse projects to understand their analytical and operational challenges and translate them into data solutions
• Assess structure, content, and quality of the data through examination of source systems and data samples
• Prioritize requirements and create rapid prototypes and minimally viable products for end users
• Improve current processes or find efficiencies by applying industry best practices
• Interpret data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Develop custom data models and algorithms to apply to data sets
• Collaborate with other data science professionals, data engineers, and business intelligence analysts on data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs
• Become familiar with cloud management and have and/or build experience in developing infrastructure code and application development
• Build basic understanding of containerization and image management for data science notebooks
• Provides maintenance and support for existing data solutions

• Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
• Experience with data manipulation to include cleansing, standardizing, and transforming
• Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks
• Experience building predictive models is required
• Understanding of relational and dimensional databases, theories, principles, and practices 
• Exeperience in financial and manufacturing industries preferred
• Experience or willingness to learn automation software
• Working knowledge of suppression/anonymization methods to ensure privacy standards are met
• Strong written/oral communication and presentation skills
• Resourceful self-starter and highly motivated team player that loves working with others to solve challenges

• Bachelor’s degree in Data Analytics, Computer Science, or proven work experience in related field required