*Banking services provided by MVB Bank, Inc., Member FDIC
What You’ll Do:
- 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
Equal Employment Opportunity:
Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.
Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.
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