Data Scientist 2 - Engineering Analytics
Company: Humana
Location: Portland
Posted on: January 27, 2023
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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
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