Sr. Machine Learning Engineer

Job Description

The Senior ML Engineer is primarily responsible for high-quality Python and SQL scripts needed to bring machine learning solutions to life. As a key team member, you will work with 1-3 other developers and engineers to gather project requirements, collaborate on solution design and strategy, identify essential architectural components, organize tasks, and contribute directly to all parts of the codebase. As a senior member of a highly professional team, you will work on all aspects of the project lifecycle encompassing everything from data discovery to performance monitoring and executive communications.

Responsibilities:

• Organize project tasks, requirements, documentation and progress through Jira and Confluence.

• Work with stakeholders to gather requirements, communicate status and share insights.

• Build high-quality Tableau dashboards to help end users engage with model output and understand recommendations.

• Perform data discovery and analysis to explore and define new use cases.

• Use applied mathematics and quantitative skills as needed for modeling tasks, impact analysis, scenario planning, forecasting etc.

• Develop, train, and deploy statistical and machine learning models for revenue, campaign optimization, customer LTV, click propensity, action sequencing, personalization, and segmentation.

• Maintain an organized code base using GitHub, Jira and Confluence.

• Develop solution modules and subsystems for preprocessing, measurement, drift, error handling, and anomaly detection.

• Develop data pipelines by creating efficient data models, writing high-quality ETL/SQL, building Alteryx workflows, managing tickets, and collaborating with partners.

Qualifications

• High proficiency in Python with 5+ years of development experience in modeling or data engineering

• Excellent knowledge of SQL with 5+ years of experience in database and data validation

• Working knowledge of Tableau with 2+ years of experience using BI tools for analysis and presentation

• Working knowledge of Alteryx

• Hands-on experience with deep learning architecture, e.g. transformers, LSTMs and convolutions

• 2+ years of experience working with DL frameworks like PyTorch and Tensorflow

• Wide familiarity and experience with statistical and mathematical concepts, esp. probability, systems of equations (LA), and optimization theory

• Firm understanding of model containerization with some experience using Docker

• Familiarity with the AWS ecosystem preferred: Redshift, S3, EC2, Sagemaker and Lambda

• Strong track record communicating with partners and stakeholders at all levels

• Independent, organized, accountable and proactive

Additional Information

Culture at Experian

Our uniqueness is that we truly value yours.

Experian's culture, people, and environments are key differentiators. We take our people's agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible work, development, engagement, collaboration, wellness, rewards & recognitions, volunteering... the list goes on!

Perks

All your information will be kept confidential according to EEO guidelines.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and and it reflects what we believe. See our DEI work in action!

Please contact us at JobPostingInquiry@experian.com to request the salary range of this position (include the exact Job Title as it reads above in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including 12 company-paid holidays and parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

Experian Careers - Creating a better tomorrow together

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