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
Minimum Basic Requirement:
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
