Remote Data Science and Data Analyst Jobs

Senior Data Science Analyst

Experian - US
Posted: 2 years ago

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Experian gathers, analyses and processes data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decisions, lenders lend more responsibly, and organizations prevent identity fraud and crime. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, talented people and innovation so we can help create a better tomorrow.

Experian’s Business Information Services (BIS) is a leader in providing data and predictive insights to organizations. By leveraging state-of-the-art technology and superior data compilation techniques, we provide market-leading tools that assist small and midsize businesses in making real-time decisions

Data Science Analyst Senior

Experian is looking for a Senior Data Science Analyst to join the Commercial Data Sciences Team in Business Information Services (BIS). This is a unique opportunity to get involved in the BIS Data Solutions group from the ground level by developing new internal and external data pipelines while supporting the creation and auditing of attributes/features/models from various data sources. You should be comfortable doing both exploratory evaluations of data in a big data environment and identifying new cutting-edge data sources to drive commercial insights.

Key responsibilities

  • Partner with the technology team to create new data pipelines
  • Develop dashboards and reports, leveraging data visualization and other tools
  • Evaluate new data sources alone as well as blended with current data sources
  • Write efficient scalable code and automated repeatable processes
  • Analyze, create, audit, and document attributes/features
  • Create Proof-of-Concept (POC) models
  • Generate reports following quality control procedures to document analysis and findings
  • Work with cross functional teams to resolve internal and external client questions

Knowledge, Experience & Qualifications

  • Bachelor of Science or similar degree in Data Science, Computer Science, Information Management, Engineering, Economics, Statistics, or another related field
  • 3+ years of relevant working experience
  • Proven problem solving, creativity, and analytical skills
  • Excellent organizational, relationship building, and communication skills
  • Proficient in desktop applications such as Word, PowerPoint. Advanced Excel skills
  • Attention to detail
  • Candidates with the following skill sets will be given special considerations:
  • Python, SQL, SAS, Hive, UNIX, Tableau

Preferred Qualifications and Experiences

  • Masters or similar degree in Computer Science, Information Management, Applied Mathematics, Statistics, or a related field
  • Proven experience in big data environments like AWS, PySpark, HUE, Scala
  • Experience with consumer and commercial credit data
  • Experience with feature engineering and risk modeling
Data Science and Analyst