Data Scientist I (remote)

Company Description

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.

Discover the Unexpected – Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian

Job Description

Experian is seeking a Data Scientist to help deliver personalized financial solutions to our customers. The ideal candidate must have the ability to extract insights from data and deliver a ML project from beginning to end, including understanding business needs, training/validating ML models, and deploying ML models to applications. In addition, the candidate must be able to thrive in a complex and fast-paced environment.

What you’ll be doing

• Develop machine learning algorithms with huge data sets to solve challenging business questions.
• Improve performances of existing algorithms.
• Discover new data sources and create new input features for ML models.
• Build end to end data pipeline for ML models
• Communicate key analytical results to stakeholders.

Qualifications

What your background looks like

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science, etc.) or equivalent professional experience.
• 2+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc.. Experience with e-commerce and digital marketing is preferred.
• Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing is a plus. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks is a plus.
• Experience with cluster-computing framework, such as Hadoop or Spark.
• Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL.
• Excellent oral and written communication skills

Additional Information

Our uniqueness is that we truly celebrate yours. Experian’s culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.