What are the responsibilities and job description for the Senior Data Scientist position at Heritage Operations Group, LLC?
Minimum Education
- Bachelor's Degree A Bachelor’s degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)
- Master's Degree Masters preferred. (Preferred)
- 6 years Requires deep functional knowledge with 6 years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)
- Experience working in a heavily regulated industry. Healthcare is a plus.
- Advanced course in machine learning and programming.
- Experience working with global distributed multicultural teams.
- Experience with agile leadership.
- Experience with building, delivering and maintaining production ready machine learning models.
- Knowledge of statistical data analysis and machine learning such as linear models, time series forecasting, neural network, random forest and NLP models, etc.
- Expert in Python coding and utilization of machine learning and statistical packages for modeling.
- Experience with database skills, SQL, NoSQL, coding for ETL.
- In depth understanding of machine learning algorithms such as random forest, neural network, graph models, NLP, etc.
- Familiarity with Spark, Azure, Databricks, MLFlow AutoML.
- Experience and familiarity with backlog management tools and resources, ideally with JIRA and Confluence.
- Seeks to acquire knowledge in area of specialty.
- Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
- Ability to work independently.
- Demonstrated analytical skills.
- Demonstrated project management skills.
- Demonstrates a high level of accuracy, even under pressure.
- Demonstrates excellent judgment and decision-making skills.
- Ability to communicate and make recommendations to leadership.
- Ability to drive multiple projects to successful completion.
- Possesses technical aptitude.
- Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner
- Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
- Attention to detail.
- Communicate complex findings in a clear and understandable manner
- Collaborate effectively with cross-functional teams
- Adapt to changing priorities and thrive in a dynamic environment
- Designs, develops and delivers statistical and/or machine learning models that solve business problems and work with engineers to make them production ready.
- Develops, utilize and monitor end-to-end machine learning pipeline from data ETL to model delivery for product ionization.
- Leads rapid prototyping for new business problems to support feasibility analysis for AI products.
- Shares complex ideas verbally and visually wit broad audience from technical and non-technical background
- Builds and adopts solutions to automate and integrate data science processes.
- Researches latest and best solutions to solve data challenges at hand.
- Interprets and communicates results of complex models with cross functional team and the stakeholders.
- Generate internal implementations to achieve results.
- Work closely with the software engineering teams to drive scalable, production ready implementations.
- Collaborate with teams across the organization.
- Document technical work as part of the production deployment process.
- Contribute to our evolving cloud infrastructure and data engineering pipeline.
- Contribute to scientific software engineering efforts utilizing professional coding standards.
- Collaborate with business partners to develop new models and concepts for continuous improvement.
- Performs other duties as assigned.
- Complies with all policies and standards.
