Senior Machine Learning Engineer

4 weeks ago

Costa Mesa, United States Experian Full time
Job DescriptionJob DescriptionCompany Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

Job Description

Experian Consumer Services is looking for a Senior Machine Learning Engineer to help provide personalized financial solutions to our customers. You can extract insights from data and deliver a ML project from beginning to end, including understanding needs, training/validating ML models, and deploying ML models to applications. Also, you should excel in a complex and fast-paced environment.

What you'll do

  • 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.
  • 3+ 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.
  • 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.


Additional Information

Benefits/Perks

  • Great compensation package & bonus plan
  • Core benefits including full medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remotely, hybrid, or in-office
  • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's 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 an important 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, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible.

#LI-Hybrid

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