Experian Consumer Services is looking for a Senior Machine Learning Engineer to help create personalized financial solutions to our customers. Extract 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 worlds 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 weve been name in the 100 Worlds Most Innovative Companies by Forbes Magazine.
What youll 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. Experians 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 Experians 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.
Remote Work :
No
Employment Type :
Full-time
Experian Consumer Services is looking for a Senior Machine Learning Engineer to help create personalized financial solutions to our customers. Extract insights from data and deliver a ML project from beginning to end including understanding our needs training/validating ML models and deploying ML m...
Experian Consumer Services is looking for a Senior Machine Learning Engineer to help create personalized financial solutions to our customers. Extract 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 worlds 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 weve been name in the 100 Worlds Most Innovative Companies by Forbes Magazine.
What youll 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. Experians 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 Experians 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.
Remote Work :
No
Employment Type :
Full-time
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