Data Scientist III

What You’ll Do:

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• Work with other DS members to identify high-impact opportunities to demonstrate our extensive data to better serve our users 
• Participate in projects/initiatives to accelerate revenue advancement through disruptive and continuous improvements in various data science models (targeting, approval odds, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc. 
• Be a strong contributor in our industry-first data science / machine learning platform for financial institutions, to enable certainty of approval for 100+ million consumers! 
• Partner with Marketing and engineering teams to ensure proper model adoption and tests. Be able to identify opportunities to iterate models based on business needs. 
• Participate research efforts with other team members to explore the frontiers of Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance 

What’s great about the role: 

• You will work with large scale Machine Learning Models to optimize for Personal Finance Products 
• You will build on top of cutting edge backend ingestion pipelines and strong support from Machine Learning Engineering. ● You will work within high growth data science team which directly impact the business and members 
• You will experience both personal and professional growth as you encourage growth throughout the team

What we are looking for: 

• Advanced Degree (BE/B.Tech/M.Tech/ME/Ph.D.) in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline 
• BE/B.Tech/M.Tech/ME with 2+ years of experience in Data Science, Machine Learning and related areas, with Fintech companies. Or PhD graduates in Finance or Data Science with a strong analytical background.
• 3+ years of experience programming skills in Python commercially (mandatory). 
• 3+ years of experience Knowledge of PySpark, google cloud platform (GCP) and Scala will be plus.

Preferred Qualifications: 

• You possess experience with Finance data (credit record data, loan underwriting) and familiar with data quality control and governance in the financial field. 
• Ambitious, results oriented, hardworking and creative thinker
• Authoritative knowledge of Python, R and SQL, as well as ML systems such as TensorFlow, Torch, etc.
• You have experience with advanced modeling techniques and Machine learning techniques in production and knowledge of maintaining and ramping these variants. 
• You have experience with A/B tests and solid analytical skills and communication skills. 
• You have various techniques in Deep Learning and Experimentation a plus 
• You have optimizing business outcomes in hyper-growth Internet companies (predictive science, ad yield management, marketplaces, etc) a huge plus

Benefits at Credit Karma includes:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December