Sr Data Scientist

Equifax Atlanta , GA 30301

Posted 4 weeks ago

Equifax is looking for a Sr Statistical Consultant/Data Scientist to join our world-class US Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of challenging projects across multiple industries including Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government.

Who is Equifax?

Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions.

Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers.

In this position you will:

  • Professional experience as a data scientist or statistical modeler in credit risk, financial services, payment, ecommerce verticals with a focus on fraud detection or risk analytics

  • 4-7 years professional level quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies

  • Proficiency skill in hands-on data mining and modeling projects with Python, R, and SQL

  • Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus

  • Master's degree or higher in Mathematics, Statistics, Computer Science, Operations Research, Engineering, or other related discipline

  • Strong consultative acumen and ability to understand complex analytical solutions

  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

  • Ability to create new ideas for analytical solutions to address customer's business issues

Experience that makes you a great fit:

  • 3+ years' experience with R, Python or a similar statistical tool

  • Experience with state of the art machine learning algorithms such as deep neural networks, support vector machines, boosting algorithms, random forest etc. preferred

  • Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is preferred

  • Proficient with any programming languages such as Python , Java, Scala a plus

  • Experience working with very large datasets, knowledge of distributed computing tools (Hadoop Streaming, MapReduce, Spark) a plus

  • Exposure to Visualization tools such as Tableau a plus

  • Extensive knowledge in fraud prevention methods and detection tools a plus

  • Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus

  • 2+ years' experience with SAS and proficiency in SAS Macro is a plus

  • Experience working in UNIX environment preferred

The Perks of being an Equifax Employee?

We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.

This position sits in our Alpharetta location, which includes a state of the art gym, onsite dry cleaning services, onsite caf, food trucks Monday through Thursday, and several excellent restaurants nearby in case you want to explore the area.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To speak to us about this role in more detail apply online.

Primary Location:



Function - Data and Analytics


Full time

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Sr Data Scientist

General Electric

Posted 6 days ago

VIEW JOBS 4/18/2019 12:00:00 AM 2019-07-17T00:00 Role Summary: The Senior Data Scientist in Power Digital Data Science & Analytics team will be responsible for building machine learning models, data science methods and analytics in a commercial technology and product development environment. In this role, you will contribute to the design, development and deployment of new, commercially re-usable analytics for addressing complex problems across power generation, transmission and distribution domains. Essential Responsibilities: As a Senior Data Scientist, you will be part of teams on commercially facing product development initiatives, involving domain and system understanding, large and complex data sets from multiple sources. These teams typically include data scientists, analytics engineers, data engineers, software developers, product managers, program managers and end users, working in concert with partners in GE Power and Digital businesses. Potential applications areas include asset performance management, asset monitoring and diagnostics, operations optimization, network level optimization, energy orchestration, outage response, risk assessment etc. Build physics aided AI and Machine Learning driven cutting edge analytics for Power Generation, Transmission & Distribution (T&D) product suites Demonstrate solid engineering and domain knowledge in delivering innovative advanced analytics based solutions for power customers Work with Data Science & Analytics, Software Engineering, Product Management and other business functions to develop, verify, and validate analytics to address customer needs and opportunities across digital energy value chain Contribute to building foundation for AI and Machine technologies for Power Generation, Transmission and Distribution analytics use cases Develop differentiated applied analytics, predictive analytics and prescriptive analytics that fit the design and future of Power products Work as part of a cross-functional team to translate algorithms into commercially viable products and services. Work with data engineers on data quality assessment, data cleansing and data analytics Apply a structured process to design and build new analytic packages and contribute to build out of most comprehensive Analytics Catalog for Power business Work with customers to capture data and analytics requirements Contribute to IP generation by building innovative analytics for solving unique industrial problems Perform exploratory and targeted data analyses using data science methods for proof of concept or proof of value initiatives Work with data engineers on data quality assessment, data cleansing and data analytics Generate project artifacts to document, archive, and communicate work and outcomes Qualifications/Requirements: Basic Qualifications Master's degree in a "STEM" major (Science, Technology, Engineering, Mathematics) plus 3 years analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial/industrial setting Eligibility Requirements: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job Must be willing to work out of an office located in San Ramon, CA or Atlanta, GA Must be willing to travel to other GE and customer sites as required with < 10% travel anticipated Desired Characteristics: Strong analytics skills with expertise in machine learning, statistical analysis, signal processing and data mining. Demonstrated skill in prescriptive analytics and analytic productization Understanding of industrial equipment, processes and energy network operations, especially in the areas of power plants, transmission & distribution domains Hands on experience with data management methods, analytics deployment and orchestration tools, database technologies and visualization tools for customer facing software applications Proven track record of Innovation and IP generation Strong customer mindset and ability to understand commercial and product strategy. Exposure to working effectively on multiple outcome-focused commercial solutions simultaneously Broad understanding of power generation, transmission & distribution domains and energy products and services Demonstrated expertise working in dynamic global team settings in prior roles Demonstrated expertise in critical thinking and problem solving methods #DTR About Us: GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE's mission and deliver for our customers. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.Additional Locations:United States;California, Georgia;San Ramon, Atlanta; General Electric Atlanta GA

Sr Data Scientist