Data Scientist 2 - Engineering Analytics

Company: Humana
Location: Portland
Posted on: January 27, 2023

Job Description:

**Description**The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.**Responsibilities**The Data Scientist 2 develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.Humana is seeking a Data Scientist 2 to perform analysis of processes, artifacts of the software development lifecycle and engineering practices. This person would analyze system logs to identify insights regarding performance to improve systems operations. In this role, you will use data analysis to discover key relationships between engineering activities and engineering outcomes, help design outcome metrics and KPIs for operational assessment and continuous improvement, and develop models for risk categorization, predicting failures and to identify areas of opportunity for process optimization.**Required Qualifications**+ Bachelor's Degree and 2 or more years of in statistical analytics and/or predictive modeling OR Master's Degree with 0-2 years' experience+ Demonstrated experience with Python, R, Spark and/or SQL+ Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions+ Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors+ Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting+ Experience in creating reports, projections, models, and presentations to support business strategy and tactics+ Ability to make decisions on moderately complex to complex issues regarding technical approach for project components+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences**Preferred Qualifications**+ Advanced Degree+ Understanding of Software Engineering and SDLC+ Experience with AI Ops+ Familiarity with Azure and GCP**Humana Vaccination Statement**Humana and its subsidiaries require vaccinated associates who work outside of their home to submit proof of vaccination, including COVID-19 boosters. Associates who remain unvaccinated must either undergo weekly negative COVID testing OR wear a mask at all times while in a Humana facility or while working in the field.**Work-At-Home Requirements*** WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.* A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.* Satellite and Wireless Internet service is NOT allowed for this role.* A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information\#LI - EL1\#LI - Remote**Scheduled Weekly Hours**40Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Keywords: Humana, Portland , Data Scientist 2 - Engineering Analytics, Other , Portland, Maine