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 AI/ML to drive marketing strategies and customer insights, impacting business decisions and client solutions.
Responsibilities and impact
The role requires deploying AI/ML models, 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 competitive compensation package with bonuses, core benefits including medical, dental, vision, 401K matching, flexible work arrangements, and paid time off including holidays and volunteer time.
Experience and skills
Candidates need 5+ years in AI/ML model development and deployment, experience in marketing or banking analytics, proficiency with cloud platforms (AWS, Azure, GCP), data engineering tools (Python, PySpark, Spark), and familiarity with LLM and Agentic AI technologies; a bachelor's degree in a related field is required.
Career development
Experian emphasizes employee development, offering a supportive culture focused on work/life balance, diversity, equity and inclusion, and opportunities for growth within a global company.
Work environment and culture
Experian promotes a people-first culture valuing DEI, collaboration, wellness, and recognition, recognized as a top workplace globally with flexible work options including remote and hybrid models.
Company information
Experian is a global data and technology company listed on the London Stock Exchange, with 23,300 employees across 32 countries, specializing in data-driven solutions across multiple industries including financial services and healthcare.
Job location and travel
This is a remote-US role, offering flexibility to work remotely, hybrid, or in-office depending on employee preference.
Unique job features
The role uniquely combines technical AI/ML expertise with marketing knowledge, involving cutting-edge technologies like Langchain and Pydantic for AI model development and deployment.
Company overview
BillFixers is a service that negotiates lower rates on household bills such as cable, internet, and phone on behalf of consumers, earning revenue by taking a percentage of the savings they achieve for clients. Founded in 2014, the company leverages negotiation expertise and industry knowledge to secure better deals from service providers, making it easier for customers to save money without direct involvement. In 2022, BillFixers was acquired by Experian, a global leader in consumer credit reporting and financial services, expanding Experian’s suite of consumer financial tools. The acquisition reflects Experian’s commitment to helping consumers manage and optimize their finances more effectively. Understanding BillFixers’ mission and its integration into Experian’s broader offerings can be valuable for candidates seeking roles focused on consumer advocacy or financial technology.
How to land this job
Tailor your resume to emphasize your expertise in deploying AI/ML models to support marketing programs and customer insights, showcasing your ability to bridge technical and marketing teams effectively.
Highlight your experience with cloud computing platforms such as AWS, Azure, or GCP, and proficiency in data engineering tools like Python, PySpark, and Spark, as these are key to developing scalable analytics pipelines.
Apply through multiple channels including BillFixers' corporate site via Experian's career page and LinkedIn to maximize your chances of visibility for this remote Senior Principal Data Scientist role.
Connect with analytics and marketing professionals at BillFixers/Experian on LinkedIn; use ice breakers like commenting on recent AI-driven marketing initiatives they have shared or asking about their experience working within Experian’s data-driven culture.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI/ML model deployment,' 'cloud computing,' 'customer segmentation,' 'personalization,' and 'agentic AI,' ensuring you pass initial screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify relevant job portals, and find LinkedIn connections to network with, allowing you to focus your time on preparing for interviews and skill enhancement.
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