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.
Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field required.
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.
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.
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.
Manual dexterity to operate office equipment.
May require periods of sitting, standing and the ability to walk to various locations throughout the Foundation to attend meetings.
Must have normal or correction vision and ability to clearly communicate verbally by phone or in person.
Personal Protective Equipment:
Follows standard precautions using personal protective equipment as required.