Data Scientist - Cincinnati, United States - JobRialto

Description

Job Description:

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets.

These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Client business units.

You will play a crucial role in analyzing complex data sets, driving data-driven decisions, and optimizing various aspects of airline operations.

In this role, you will:
Develop analytics to address customer needs and opportunities.

Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

Formulate, suggest, and manage data-driven projects that align with the business's strategic goals.

Collaborate with cross-functional teams to identify opportunities for data-driven improvements in fuel efficiency.

Utilize historical flight data to identify patterns and trends related to fuel consumption.

Propose strategies to reduce fuel usage without compromising safety or performance.

Work with data engineers on data quality assessment, data cleansing and data analytics

Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

Share and discuss findings with team members.


Qualifications/Requirements:
Bachelor's degree in computer science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum of 5 years of experience

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python)

Hands-on experience with fuel efficiency analysis, flight operations, dispatch, or engineering

Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.

Familiarity with airline-specific datasets (Flight data, Flight Plan, Flight log, ACARS)

Demonstrated skill at data visualization and storytelling for an audience of stakeholders.

Effective written and oral communication skills in English and Spanish


Technical Expertise:
Demonstrated awareness of data management methods

Demonstrated awareness of analytics development and deployment


Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where Client operates.

Demonstrated awareness of customer and stakeholder management and business metrics.


Leadership:
Demonstrated skill at function in a team setting.

Demonstrated awareness of critical thinking and problem-solving methods.

Demonstrated awareness of presentation and influencing skills.

Strong sense of ownership and self-driven.


Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances


Education:
Bachelors Degree


Additional client information:
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