Senior Data Scientist

Minimum Education

• Bachelor's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)
• Master's Degree Masters preferred. (Preferred)

Minimum Work Experience

• 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)

Required Skills/Knowledge

• 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

Functional Accountabilities

• 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.

Organizational Accountabilities

• Anticipate and responds to customer needs; follows up until needs are met

Teamwork/Communication

• Demonstrate collaborative and respectful behavior

• Partner with all team members to achieve goals

• Receptive to others' ideas and opinions

Performance Improvement/Problem-solving

• Contribute to a positive work environment

• Demonstrate flexibility and willingness to change

• Identify opportunities to improve clinical and administrative processes

• Make appropriate decisions, using sound judgment

Cost Management/Financial Responsibility

• Use resources efficiently

• Search for less costly ways of doing things

Safety

• Speak up when team members appear to exhibit unsafe behavior or performance

• Continuously validate and verify information needed for decision making or documentation

• Stop in the face of uncertainty and takes time to resolve the situation

• Demonstrate accurate, clear and timely verbal and written communication

• Actively promote safety for patients, families, visitors and co-workers

• Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance