Responsibilities:

• Gathers requirements and program model development under direction of other Data Scientists to inform problem formulation.
• Participates in model building.
• Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
• Provides insight and recommendations to solve business problem and help inform business decisions.
• Documents best practices and solution frameworks. Replicates and scales solutions to business units with common/similar business needs.
• Uses expertise in defining (with internal clients) the business challenge that needs to be solved, conducting the analysis/modeling/experiment and then providing the “answer” in a clear and business-friendly manner for our clients to take actionable steps.
• Participates with more senior data scientists or managers in peer review model assessment and feedback communication.
• Other duties as assigned.

Education:

• Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field required.
• Master’s preferred.

Technical Languages:

• Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders required.

Certifications:

• Certification or fellowship in analytics, big data, data science or related subject preferred.
• Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python preferred.

Complexity of Work:

• Requires critical thinking skills, decisive judgment and the ability to work unsupervised or with minimal supervision.
• Must be able to work in a stressful environment and take appropriate action.
• A strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals.
• Demonstrated team, leadership, organizational, and problem solving abilities.

Work Experience:

• A minimum of 18 months of related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive required.
• Offset: Master’s degree and no relevant experience.
• Healthcare or life science experience preferred.
• Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS required.
• Knowledge applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP]).
• Familiarity with additional programming languages, including Python, Java, or C/C++.
• Lead experience with project management and change management methodologies preferred.
• Experience leveraging visualization software and techniques and business intelligence (BI) software.
• Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself.
• Demonstrated leadership qualities, including presentation, influencing and negotiation.

Physical Requirements:

• Ability to perform work in a stationary position for extended periods
• Ability to operate a computer and other office equipment
• Ability to communicate and exchange accurate information
• Ability to travel throughout the hospital system

Personal Protective Equipment:

• Follows standard precautions using personal protective equipment as required.