Data Scientist II

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Cardtronics USA Inc., a subsidiary of NCR Atleos

Atlanta, GA

Data Scientist II (f/t)

Job Description:

• Build technology-driven data products: Build a Data Product that integrates multiple data sources, internal (transaction data) and external Federal Deposit Insurance Corporation, (FDIC, Census, others), and enables value-added visualizations to pinpoint high-growth markets for business expansion.
• Leverage leading-edge technologies [Web, APls (Application Programming Interface)] and programming (Python, R, others) and integrate with existing Geospatial map tools such as ESRI (Environmental Systems Research Institute) & Sales Force for the Product build.
• The Product will marry the supply side of Retailers and financial institutions and the Demand side of high-growth market areas to laser into the most profitable locations to expand the Cardtronics ATM footprint.
• Utilize sophisticated data mining and programming skills to enable visualizations on Geospatial maps and other UI tools and drive training for such with the Sales team.
• Retail Dataset and Model build out & expansion: Using the requisite technical skills, build a comprehensive modelling data set comprising internal data (Transactions, program, Product,
• geography, profitability, etc.) and external (FDIC, etc.) and other variables.
• Work with external websites and vendors as required to improve the richness of the datasets-new retail locations and new model build variables.
• Create an automated process for the dataset preparation that is repeatable, accurate and resilient (person independent).
• Identify new variables that show strong correlation and enable pinpointing profitable and high growth new locations selection for ATM installs and grow the Cardtronics business.
• Build Forecasting models for ATM cash management at the machine level to help cash fill operations project cash needs and make appropriate arrangements.
• Continuously improve and fine-tune the models based on the latest research on modelling techniques, macroeconomic factors, and historical data trends.
• Automate the execution and usage of such models for the end customers by developing appropriate usage tools.
• Build a robust monitoring mechanism for model performance that feeds back into decision-making and measures metrics to gain a strong understanding of the state of cash.
• Lead analytics to provide data-based grounding & objectivity to enable the rollout of new groundbreaking Products.
• Perform post-rollout monitoring of products, providing grounded metrics on measuring product lift by implementing scientific techniques such as test vs. control, p, n values, and other statistical techniques.
• Individual Retailer deep dives.
• Perform deep dive analytics into individual retailers to enable Sales teams with the ammunition to close deals and secure gratifying contracts.
• Test/control analysis to experiment using sophisticated statistical techniques to drive new revenues.
• Marketing segmentation on activities such as signage or other forms of testing for individual retailers; assign test/controls and measure lift to enable rollout decision.
• Reporting client usage and performance before contract renewals to suggest the best products for various client scenarios.
• Other duties as assigned. Part-time telecommuting is permitted.

Job Requirements:

Bachelor's Degree or foreign equivalent* in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science. or related quantitative field and four (4) years of experience in software engineering occupation. Experience must include:

• Two (2) years of experience working knowledge in data visualization, statistical modeling, data mining, reliability engineering, and predictive analytics.
• Two (2) years of experience working in the Banking, Retail, or Hospitality industry.
• Two (2) years of experience manipulating data sets and building statistical models
• Two (2) years of experience using one or more languages (R, Python, Scala, Java) to manipulate data and draw insights from large data sets.
• Two (2) years of experience using a variety of machine learning techniques (regression, clustering, decision tree learning), Random Forest, SVM, Deep Learning Neural Networks, and predictive analytics.
• Two (2) years of experience with advanced statistical tools, techniques, and concepts (regression, properties of distributions, statistical tests, and proper usage).
• Two (2) years of experience of API management
• Two (2) years of experience using RESTful Web services and Azure Web Apps.
• Two (2) years of experience visualizing/presenting data for stakeholders using PowerBI, Tableau, and D3.js.
• Two (2) years of experience with at least one Deep Learning framework such as CNN, RNN, TensorFlow, Keras, or PyTorch.
• Two (2) years of experience working with SQL databases & Lake.
• Two (2) years of experience working with complex on-premises and cloud data architectures.

*Any combination of education that has been evaluated by a professional credentials evaluation service to be the equivalent of an U.S. degree will be accepted. References required.

Or

Master’s or foreign equivalent* in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, or related quantitative field and two (2) years of experience in software

engineering occupation. Experience must include:

• Two (2) years of experience working knowledge in data visualization, statistical modeling, data mining, reliability engineering, and predictive analytics.
• Two (2) years of experience working in the Banking, Retail, or Hospitality industry.
• Two (2) years of experience manipulating data sets and building statistical models.
• Two (2) years of experience using one or more languages (R, Python, Scala, Java) to manipulate data and draw insights from large data sets.
• Two (2) years of experience using a variety of machine learning techniques (regression, clustering, decision tree learning), Random Forest, SVM, Deep Learning Neural Networks, and predictive analytics.
• Two (2) years of experience with advanced statistical tools. techniques, and concepts (regression, properties of distributions, statistical tests, and proper usage).
• Two (2) years of experience of API management.
• Two (2) years of experience using RESTful Web services and Azure Web Apps.
• Two (2) years of experience visualizing/presenting data for stakeholders using PowerBI, Tableau, and D3.js.
• Two (2) years of experience with at least one Deep Learning framework such as CNN. RNN, TensorFlow, Keras, or PyTorch.
• Two (2) years of experience working with SQL databases & Lake.
• Two (2) years of experience working with complex on-premises and cloud data architectures.

* Any combination of education that has been evaluated by a professional credentials evaluation service to be the equivalent of an U.S. degree will be accepted. References required.

Work location: 864 Spring St NW, Atlanta, GA 30308. Annual salary: $112,736.00 to $160,800.00.

If interested, send resume or curriculum vitae to: NCRAtleos.Careers@ncratleos.com reference requisition: R1147198 Data Scientist II (Evergreen) (Open).

#LI-DNI

Offers of employment are conditional upon passage of screening criteria applicable to the job.

Full time employee benefits include:

• Medical Insurance

• Dental Insurance

• Life Insurance

• Vision Insurance

• Short/Long Term Disability

• Paid Vacation

• 401k

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.