Job summary
Job post source
This job is directly from Experian
Job overview
The Data Science Analyst II at Experian performs advanced data analysis and builds machine learning models to detect fraud, contributing to the company's data-driven decision-making.
Responsibilities and impact
The role involves analyzing statistical models, performing ETL on data, creating fraud detection features, developing machine learning models, collaborating with teams, and visualizing model performance metrics.
Compensation and benefits
The salary range is $97,375 to $120,560, with variable pay and comprehensive benefits included.
Experience and skills
Requires a Master's degree in a related field and experience with Python scripting, cloud tools like PySpark, ELT tools, fraud analysis, predictive modeling, and presenting statistical findings to non-experts.
Company information
Experian is a global information services company specializing in data and analytics to help businesses manage risk and prevent fraud.
Job location and travel
The job is located at 475 Anton Blvd., Costa Mesa, CA 92626, with possible telecommuting options.
Application process
Applicants should apply via Experian's career website using requisition number REF24679B.
Unique job features
The job features opportunities to work with big data on the cloud and develop fraud detection machine learning models.
Company overview
Experian is a global information services company specializing in credit reporting and data analytics. They generate revenue by providing credit reports, scores, and related services to consumers, businesses, and organizations, helping them make informed financial decisions. Founded in 1996, Experian has grown through strategic acquisitions and technological advancements, establishing itself as a leader in the industry. They operate in multiple regions, including North America, Latin America, the UK, and EMEA, and are known for their commitment to data security and innovation.
How to land this job
Position your resume to highlight your expertise in Python scripting, especially in model building tools and generating performance metrics, as this is central to the Data Science Analyst II role at Experian.
Emphasize your experience with cloud computing tools like PySpark for big data analysis, along with your skills in ETL/ELT processes and fraud analysis techniques such as bivariate analysis.
Showcase your proficiency in predictive modeling, including feature engineering, feature reduction, and implementing machine learning algorithms, while also demonstrating your ability to communicate complex statistical findings to non-technical audiences.
Apply through multiple platforms including Experian's corporate career site, LinkedIn, and other job boards where the position is listed to maximize your application visibility.
Connect on LinkedIn with current Experian data science team members or those in related divisions; initiate conversations with ice breakers like commenting on recent Experian data initiatives or asking how their team approaches fraud detection challenges.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Python scripting,' 'PySpark,' 'ETL/ELT,' 'fraud analysis,' 'predictive modeling,' and 'machine learning algorithms' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application channels, and discover LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and skill development.
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