Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is looking for an experienced Data Scientist, who will be responsible for attributes development, testing, and delivery with Python in our technical environment, leveraging advanced data and analytical methodologies, AI, ML/DL to design and deliver attributes bundles based on use cases.
This individual is also capable of data delivery, design of data structures (AVRO schema), and processes balancing immediate deliverables with future reusability, while evangelizing best practices for data solution architecture. This individual will promote a culture of creativity, problem-solving, experimentation, innovation, and execution. The ability to be detail-oriented, highly organized, and priority-driven are a must in order to be successful in this fast-paced environment.
What you’ll do
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Be a part of the Attributes Development team that works closely with cross-functional teams across D&A and technology within the organization.
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Integrate single or/and multiple data sources, data types and data structures into solutions and work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around data and analytics.
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Develop attributes in a Python-based development environment. Perform testing, attributes reduction, use cases design and execution with advanced statistical technologies and algorithms. Deliver attributes and scorecard insights and bundle solutions. Assist in implementing attribute solutions in production environments.
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Be responsible for data delivery, design of data structures, and processes balancing immediate deliverables with future reusability, while evangelizing best practices for data solution architecture.
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Propose solutions for clients needs, understanding how business works.
What experience you need
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Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related discipline.
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4+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.
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4+ years working with Python and SQL.
What could set you apart
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Knowledge of credit bureau or Bcu data.
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Knowledge of Google Cloud platform and BigQuery.
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Relationship skills to maintain and grow business relationships.
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Excellent problem solving skills which may include data delivery, design of data structures, data cleaning, data mining, data clustering, modeling, and pattern recognition methodologies.
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Advanced or intermediate english.
We offer comprehensive compensation and healthcare packages, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
