Gitty Inc.
Senior Data Scientist #AVN
Gitty Inc., Campbell, California, us, 95011
#DS-AVN
Our client, a pioneer in reshaping consumer credit using innovative technology, is committed to reducing capital costs. They strongly believe in universal access to capital, crucial in today's capital-based economy, with over $1 trillion in unsecured credit card revolving balances.
The journey of credit cards since the '60s, culminating in balances exceeding $1 trillion in 50 years, reveals the existing challenges. Unsecured credit, despite its efficiency in quick underwriting and access to capital in 1-3 days, comes at a high cost (15-25% APR). Conversely, secured capital involves high origination costs and prolonged processes (weeks in underwriting, months for access) but offers cheaper rates ( Funding:
Backed by substantial equity funding of over $125 million, our client comprises a well-capitalized team comprising technology (Microsoft, Facebook) and finance (Square, Discover, CapitalOne, Goldman) experts. With top-tier investors like Founders Fund, Khosla Ventures, Caffeinated Capital, Max Levchin, NYCA, and Sequoia, our client continues to lead the charge in transforming consumer credit. Additionally, they recently secured Series C funding, further solidifying their position in this innovative endeavor.
Role: Data Scientist
Join a dynamic startup that's pioneering innovative paths in technology across multiple sectors. We are seeking a highly skilled Data Scientist who thrives on analyzing and deriving insights from complex data sets to drive product strategy and business decisions. In this role, you will collaborate closely with diverse teams, including Product, Engineering, Marketing, Sales, Finance, and Data Science, to develop and implement data-driven strategies that enhance product performance and customer satisfaction.
Responsibilities:
Partner with cross-functional teams to influence product strategies using advanced analytical and scientific methods.Utilize statistical, machine learning, and econometric models on large datasets to measure outcomes, identify causal impacts, and attribute effects.Predict future performance of users or products using robust data-driven methodologies.Design, implement, and launch innovative data science solutions to bolster decision-making at all levels.Analyze experiment results and interpret data to refine product offerings and strategies.Develop and monitor key performance metrics for products, ensuring data accuracy and actionable insights.Lead the enhancement of data collection practices and refine existing data to improve overall data quality.Who Should Apply:
Individuals with over 5 years of data science experience and demonstrated thought leadership in the field.Those holding a PhD or MS in a quantitative discipline such as Engineering, Mathematics, Natural Sciences, or Economics.Experts in a scientific computing language (R or Python) and proficient in SQL.Professionals with deep theoretical and practical knowledge in statistics, machine learning, and experimental design.Excellent communicators with strong abilities to convey complex data in a clear and persuasive manner.Experienced in designing and scaling complex modeling solutions from concept through to production.Influential in high-stake decision-making processes with strong project management skills.
This position offers an exceptional opportunity to be at the forefront of technological innovation and to shape the future of a fast-growing startup. If you are a motivated Data Scientist eager to make a substantial impact through your analytical expertise and strategic insights, we would love to hear from you. Cash Comp in the range of $200K-$300K.
Our client, a pioneer in reshaping consumer credit using innovative technology, is committed to reducing capital costs. They strongly believe in universal access to capital, crucial in today's capital-based economy, with over $1 trillion in unsecured credit card revolving balances.
The journey of credit cards since the '60s, culminating in balances exceeding $1 trillion in 50 years, reveals the existing challenges. Unsecured credit, despite its efficiency in quick underwriting and access to capital in 1-3 days, comes at a high cost (15-25% APR). Conversely, secured capital involves high origination costs and prolonged processes (weeks in underwriting, months for access) but offers cheaper rates ( Funding:
Backed by substantial equity funding of over $125 million, our client comprises a well-capitalized team comprising technology (Microsoft, Facebook) and finance (Square, Discover, CapitalOne, Goldman) experts. With top-tier investors like Founders Fund, Khosla Ventures, Caffeinated Capital, Max Levchin, NYCA, and Sequoia, our client continues to lead the charge in transforming consumer credit. Additionally, they recently secured Series C funding, further solidifying their position in this innovative endeavor.
Role: Data Scientist
Join a dynamic startup that's pioneering innovative paths in technology across multiple sectors. We are seeking a highly skilled Data Scientist who thrives on analyzing and deriving insights from complex data sets to drive product strategy and business decisions. In this role, you will collaborate closely with diverse teams, including Product, Engineering, Marketing, Sales, Finance, and Data Science, to develop and implement data-driven strategies that enhance product performance and customer satisfaction.
Responsibilities:
Partner with cross-functional teams to influence product strategies using advanced analytical and scientific methods.Utilize statistical, machine learning, and econometric models on large datasets to measure outcomes, identify causal impacts, and attribute effects.Predict future performance of users or products using robust data-driven methodologies.Design, implement, and launch innovative data science solutions to bolster decision-making at all levels.Analyze experiment results and interpret data to refine product offerings and strategies.Develop and monitor key performance metrics for products, ensuring data accuracy and actionable insights.Lead the enhancement of data collection practices and refine existing data to improve overall data quality.Who Should Apply:
Individuals with over 5 years of data science experience and demonstrated thought leadership in the field.Those holding a PhD or MS in a quantitative discipline such as Engineering, Mathematics, Natural Sciences, or Economics.Experts in a scientific computing language (R or Python) and proficient in SQL.Professionals with deep theoretical and practical knowledge in statistics, machine learning, and experimental design.Excellent communicators with strong abilities to convey complex data in a clear and persuasive manner.Experienced in designing and scaling complex modeling solutions from concept through to production.Influential in high-stake decision-making processes with strong project management skills.
This position offers an exceptional opportunity to be at the forefront of technological innovation and to shape the future of a fast-growing startup. If you are a motivated Data Scientist eager to make a substantial impact through your analytical expertise and strategic insights, we would love to hear from you. Cash Comp in the range of $200K-$300K.