Senior Responsible AI Data Scientist
HumanaSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Financial Services, Ad TechIndustries
Requirements
- MS/PhD in a quantitative discipline (e.g., computer science, machine learning, data science, engineering) with 10+ years of experience in data science, software engineering, or data architecture
- Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation
- Proven track record of designing and implementing large-scale machine learning systems, with expertise in scaling AI-powered solutions
- Ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
- Deep understanding of current ML systems and the ability to evolve them into cutting-edge, innovative, and scalable solutions
- Strong background in programming languages (e.g., Python, Java, C++)
- Strong understanding of operational maturity, industry challenges, and future risks and opportunities in large-scale AI systems
Responsibilities
- Collaborate with Engineering, Product, and cross-functional teams to architect and implement cutting edge machine learning systems at scale, driving technical strategy and roadmap for AI capabilities
- Present and drive alignment with Senior Leadership across all lines of business on ad technology innovations
- Define and execute the technical vision for current and future ML capabilities as it relates to ad recommendations, with a focus on GenAI and Agentic systems
- Design and develop large-scale AI systems, leveraging expertise to evolve current systems and create competitive advantages in ad tech
- Stay ahead of industry trends and challenges, identifying opportunities and risks to inform technical decisions and drive innovation
- Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing
- Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience in navigating technical ambiguity and complexity
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key responsibilities for this Staff AI Scientist II role?
You will collaborate with cross-functional teams to architect and implement cutting-edge machine learning systems at scale, drive technical strategy for AI capabilities, present innovations to senior leadership, define ML vision for ad recommendations focusing on GenAI, design large-scale AI systems, stay ahead of industry trends, and mentor data scientists and engineers.
What skills and background are required for this position?
A strong background in data science and machine learning is required, paired with excellent communication skills, technical acumen, leadership, strategic thinking, and the ability to architect scalable solutions with cross-team alignment.
Is this role remote or does it require working from an office?
This information is not specified in the job description.
What is the salary or compensation for this Staff AI Scientist II position?
This information is not specified in the job description.
What does Credit Karma's company culture emphasize for this role?
The company fosters a culture of innovation and operational excellence, with a mission-driven focus on championing financial progress, and values intellectual curiosity, intrinsic drive, decisiveness, and resilience.
Credit Karma
Provides free credit scores and financial tools
About Credit Karma
Credit Karma provides financial tools and resources to help individuals improve their financial health. The platform offers free access to credit scores, credit monitoring, and personalized recommendations for credit cards and loans, including options for cars, homes, and personal financing. Users can track their credit progress and receive alerts about changes to their credit reports. Unlike many competitors, Credit Karma operates on a freemium model, allowing users to access a wide range of services at no cost while earning revenue through partnerships with financial institutions. The company's goal is to empower its members to achieve their financial goals by providing helpful resources and fostering a sense of ownership and progress in their financial journeys.
Oakland, CaliforniaHeadquarters
2007Year Founded
$358MTotal Funding
ACQUISITIONCompany Stage
Fintech, Cybersecurity, Financial ServicesIndustries
1,001-5,000Employees
Benefits
Health Insurance
Dental Insurance
401(k) Retirement Plan
Commuter Benefits
Wellness Program
Paid Vacation
Paid Sick Leave
Education Perks
Risks
Increased competition from Walmart-backed FinTech One could challenge Credit Karma's market share.
Integration challenges from Zendrive acquisition may distract from Credit Karma's core objectives.
Intuit's AI advancements could overshadow Credit Karma's financial tools and services.
Differentiation
Credit Karma pioneered free credit scores, setting it apart in personal finance.
The company offers a comprehensive suite of free financial tools and recommendations.
Credit Karma's freemium model generates revenue through partnerships with financial institutions.
Upsides
Credit Karma's acquisition of Zendrive enhances its mobility risk intelligence offerings.
AI-driven financial assistants could inspire Credit Karma to develop personalized financial tools.
Growing digital solutions adoption by SMBs presents expansion opportunities for Credit Karma.
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