Senior Data Scientist

Cincinnati, OH, United States

Applications have closed

Humanity

Jobs for Humanity paves the way to a fairer future for all by connecting historically underrepresented talent to welcoming employers.

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Company Description

Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.

Company Name: FIS Global

Job Description

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Education Desired :

Bachelor of Computer Engineering

Travel Percentage :

0%

Job Description

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the team:

Fraud Fusion program provides real-time coverage of existing fraud schemes, improving identification of emerging threats, and increases visibility and response to prevent and successfully react to fraud. Fraud Fusion will reduce fraud losses and exposure while increasing discovery of fraud and response time and sustain a positive client experience.

What you will be doing:

FIS Financial Crimes and Global Fraud Investigations Team oversees collaborative efforts cross-channel in:

• Employ machine learning and statistical modeling to create and enhance data driven products and processes associated with Fraud Fusion and Financial Crime Investigations

• Analyze and extract insights from internal and external data

• Create and present analyses to internal and external partners and clients

• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs

Main duties and responsibilities :

• Work with Big Data and transform complex datasets into more usable formats

• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL

• Work independently and collaborate with other groups to solve complex problems

• Document models and write code to track and monitor models and product performance

• Utilize logging mechanisms to proactively identify fraud

• Mitigate fraud losses

What you bring:

· Substantial Fraud Industry Knowledge

· Strong Microsoft Office Tool Familiarity

· Key organizational skills

· Effective Communication and ability to identify diverse approaches for problem solving

Added bonus if you have:

· Internal FIS Business Knowledge

· Data Analytics Degree

· Computer Science Degree

· Cyber Security certifications or associated industry degrees

What we offer you:

· A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities

· The chance to work on some of the most challenging, relevant issues in financial services & technology

· A work environment built on collaboration, flexibility and respect

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Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Computer Science Data Analytics Engineering Machine Learning ML models Privacy Python R React SAS Scala Security SQL Statistical modeling Statistics

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  4  0  0
Category: Data Science Jobs

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