Principal Data Scientist (Irvine)Talently • Irvine, CA, United States
Principal Data Scientist (Irvine)
Talently • Irvine, CA, United States
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job_description.job_card.job_description8+ years of experience in data science or analytics, with a proven track record of driving business impact. Data Product Building Experience! Experience building Voice AI Models! Proficiency in SQL, Python, and SAS, with 5+ years of experience in developing and implementing machine learning models. Strong business acumen with expertise in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems. Demonstrated success collaborating across Product, Marketing, Risk, Finance, and Operations teams. Exceptional analytical and problem-solving skills, with a proactive approach to identifying opportunities. Excellent written and verbal communication skills, with the ability to simplify complex technical concepts for diverse audiences. Strong data analysis and visualization skills. Practical knowledge of data engineering techniques and tools. Proactive and adaptable mindset with a willingness to embrace emerging technologies. Experience with advanced analytics in the financial services industry. Familiarity with managing and optimizing large-scale data systems.
Job Title : Principal Data Scientist-Conversational AI Models
Location : On Site - Irvine, California, United States
Salary : $200,000 - $230,000
Skills : Python, SAS, SQL, performance marketing, Machine Learning, Conversational AI Models
About the Financial Services Industry / The Opportunity :
Are you ready to make a significant impact in the ever-evolving fintech landscape? Our client, a dynamic leader in the financial services industry, is dedicated to empowering small and medium-sized businesses by delivering innovative financial solutions. As a Principal Data Scientist, you'll join a high-performing team committed to leveraging data and advanced analytics to drive strategic decisions and business growth. This role offers the opportunity to work on cutting-edge technologies, contribute to mission-critical projects, and play a key role in shaping the future of financial services innovation.
Responsibilities :
- Develop a deep understanding of the data landscape to identify opportunities for analytics-driven improvements across the organization.
- Deliver actionable recommendations to cross-functional stakeholders to support key company objectives.
- Collaborate closely with teams in Product, Marketing, Finance, Risk, and Operations to define and track critical business metrics.
- Leverage advanced statistical and machine learning techniques to build predictive models for credit underwriting, performance marketing, customer lifetime value, and offer recommendations.
- Optimize predictive models to enhance accuracy and relevance in achieving business outcomes.
- Design and implement P&L forecasting models to evaluate the financial impact of initiatives on top-line and bottom-line metrics.
- Present data-driven insights to senior leadership, influencing strategic decisions and organizational growth.
- Continuously refine analytics processes to enhance data accuracy, scalability, and accessibility across teams.
- Perform additional duties as assigned to support data science initiatives.
Must-Have Skills :
Nice-to-Have Skills :
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