Job summary
Job post source
This job is directly from Experian
Job overview
The Senior Principal Data Scientist role at Experian involves leveraging advanced analytics and machine learning to drive marketing strategies and customer insights, impacting business decisions and client collaborations.
Responsibilities and impact
The role requires deploying AI/ML models for marketing programs, collaborating with clients and internal teams to create data-driven solutions, developing scalable analytics pipelines on cloud platforms, and communicating technical findings to non-technical stakeholders.
Compensation and benefits
The position offers a salary range of $153,075 to $275,535, a bonus plan, core benefits including medical, dental, vision, matching 401K, flexible work environment options, and paid time off including holidays and volunteer time.
Experience and skills
Candidates should have 5+ years of industry experience with AI/ML model development and deployment, marketing or banking analytics background, proficiency in cloud platforms (AWS, Azure, GCP), data engineering tools (Python, PySpark, Spark), experience with LLM and Agentic AI, and a relevant bachelor's degree.
Career development
Experian emphasizes employee development with a people-first approach, supporting work/life balance, diversity, equity and inclusion, and offers opportunities for growth within a global company recognized for its workplace culture.
Work environment and culture
Experian values diversity, equity, inclusion, authenticity, collaboration, wellness, and recognition, promoting a flexible and supportive work environment recognized globally as a great place to work.
Company information
Experian is a global data and technology company listed on the London Stock Exchange, operating in multiple industries including financial services and healthcare, with 23,300 employees across 32 countries and headquarters in Dublin, Ireland.
Job location and travel
This is a remote-US role with flexible options for remote, hybrid, or in-office work environments.
Unique job features
The role uniquely combines technical expertise with marketing knowledge, involving advanced AI/ML model deployment and collaboration across technical and marketing teams, supported by cutting-edge cloud technologies and AI tools.
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
Tailor your resume to emphasize your expertise in AI/ML model development and deployment, especially related to marketing programs and customer insights, highlighting your ability to bridge technical and marketing teams.
Showcase your experience with cloud computing platforms like AWS, Azure, or GCP, and proficiency in analytics tools such as Python, PySpark, and Spark to align with the job’s technical requirements.
Apply through multiple channels including Experian's corporate careers site, LinkedIn, and other job boards where the role is posted to maximize your application visibility.
Connect on LinkedIn with professionals in Experian’s Analytics Consulting or Marketing Analytics divisions; start conversations by referencing recent Experian innovations in AI-driven marketing or asking about their experience working remotely in this role.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI/ML model deployment,' 'cloud computing,' 'customer segmentation,' 'personalization,' and 'Langchain' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identify the best application channels, and find LinkedIn contacts to network with, allowing you to focus your time on preparing for interviews and refining your skills.
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