FreshRemote.Work

Senior Data Scientist II

US WA SEA Virtual

Job Description

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?

ABOUT THE ROLE

We are looking for a Senior Data Scientist II to join our team and play a crucial role in generating insights and supporting data-driven decision making across the organization. You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems. 

 

WHAT YOU WILL BE DOING

  • Employ machine learning and statistical modeling to create and enhance data driven products

  • Analyze and extract insights from internal and external data

  • 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

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

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

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

  • Other related duties assigned as needed

WHAT YOU WILL NEED

  • Master's or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience

  • 5+ years of relevant professional work experience in a data science or similar role. 

  • Proficient in data science tools and programming languages such as Python, R, Scala, SQL, and SAS.

  • Exceptional statistical, mathematical, and analytical skills

  • Superior interpersonal, communication, and presentation skills

  • Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis

ADDED BONUS IF YOU HAVE

  • Fintech Experience.

  • Experience or knowledge of cloud-based technology.

  • Knowledge of the financial services industry.

  • Ability to collaborate with others and solve complex problem.

  • Excellent analytical, decision-making, problem-solving, team, and time management skills.

  • Ability to persuade and influence others on the best approach.

  • Positive outlook, strong work ethic, and responsive to internal and external clients and contacts.

  • Ability to interface with all levels of employees and effectively interact with various functional areas and facilities.

  • Ability to establish and maintain effective working relationships with employees, management, and clients.

What we offer you:

At FIS, you can learn, grow and make an impact in your career. Our benefits include:

  • Flexible and creative work environment

  • Diverse and collaborative atmosphere

  • Professional and personal development resources

  • Opportunities to volunteer and support charities

  • Competitive salary and benefits


FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $136,190.00 - $228,790.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

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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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Career opportunity Collaborative atmosphere Competitive benefits Competitive compensation Competitive salary Competitive salary and benefits Creative work environment Development resources Diverse and collaborative atmosphere Exciting career opportunity Flexible and creative work environment Flexible work environment Opportunities to volunteer and support charities Personal development Professional and personal development Professional and personal development resources Professional development Support charities Volunteer opportunities

Tasks
  • Analyze data
  • Collaborate with teams
  • Communication
  • Data Analysis
  • Data-driven decision making
  • Develop data science solutions
  • Document models
  • Present analyses
  • Programming
  • Researching
  • Solve complex problems
Skills

Analysis Analytical Artificial Intelligence Big Data Cloud Communication Computer Data analysis Data-driven decision making Data Science Data Visualization Decision making Financial Services Financial Services Industry Fintech Fintech experience Fintech solutions Interpersonal Machine Learning Management Modeling Organization Outlook Presentation Problem-solving Programming Programming languages Python R SAS Scala Security SQL Statistical modeling Team Teams Technology Time Management Tools Training

Experience

5 years

Education

Applied mathematics Business Computer Science Economics Education Equivalent Equivalent combination of education Law Management Master's Mathematics Ph.D. Science Statistics Training Work experience

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9