Senior Machine Learning Engineer

ract insights from data and deliver a ML project from beginning to end, including understanding our needs, training/validating ML models, and deploying ML models to applications.

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. Also, for the last five years we've been name in the 100 "World's Most Innovative Companies" by Forbes Magazine.

What you'll do

• Develop machine learning algorithms with huge data sets to solve challenging business questions.

• Improve performances of existing ML algorithms.

• Partner with data scientists to discover new data sources and create new input features for ML models.

• Build end-to-end data pipeline for ML models.

• Implement experimental systems and evaluate model performances.

• Communicate results to partners.

What your background is

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science) or equivalent professional experience.

• 5+ years of work experience in data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks.

• Experience with e-commerce and digital marketing.

• Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.

• Experience with Hadoop or Spark.

• Working knowledge of Data Science tools (e.g., Numpy, Pandas, Scikit, Tensorflow, Keras, R).

• Experience with data processing tools (e.g., SQL).

• Experience with version control systems (i.e. Git, GitHub) and writing production ready code.

Qualifications

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science.) or equivalent professional experience.

• 5+ 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.

• 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 group-computing framework, such as Hadoop or Spark.

• Working knowledge of Data Science tools (e.g., Numpy, Pandas, Scikit, Tensorflow, Keras, and R).

• Experience with version control systems (i.e. Git, GitHub) and writing production ready code.

Additional Information

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, collaboration, wellness, reward & recognition, volunteering... the list goes on. 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, 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.