Data Scientist II - Fraud Risk

About the role

Dave is seeking experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, risk operations, and other business partners across the business to research, develop, deploy, and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers. 

What You’ll Do

• Be constantly curious and continue to pursue in-depth explorations of our datasets.

• Collaborate with key stakeholders to understand the business problems, ideate ML solutions, and effectively communicate with stakeholders. 

• Research, develop, and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation, and more. 

• Perform in-depth analysis and optimization of state-of-the-art ML models to ensure the best performance on current and next-generation GPU, network, and compute architectures.

• Partner with Engineering, Product team to develop and deploy ML solutions into product features.

• Continuous monitoring and evaluation of model performance and communication with the relevant stakeholders. 

• Conducted model-related analyses to provide comprehensive insights into ML solutions.

What You’ll Need

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Mathematics, Statistics, or other STEM fields.

• 3+ years of modeling and machine learning experience to build ML-driven products for solving business problems, e.g., prediction, optimization, segmentation, etc. 

• 3+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python/R

• Experience with ML/DL algorithms with frameworks like TensorFlow, PyTorch, Spark, and cloud platforms.

• Experience with developing fraud risk models and/or strategies.

• Ability to communicate your ideas/code clearly to business stakeholders.

• Enjoy working with multiple levels and teams across organizations (engineering, product, risk teams, etc.)

• Effective verbal/written communication and technical presentation skills.

• Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team.

• ML model deployment in production experience plus

• Experience in Financial Services or FinTech plus

• Experience in graph DB plus

Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.

Why you’ll love working here: 

At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii. 

A few of our benefits & perks:

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals

• Flexible hours and virtual first work culture with a home office stipend

• Premium Medical, Dental, and Vision Insurance plans

• Generous paid parental and caregiver leave

• 401(k) savings plan with matching contributions

• Financial advisor and financial wellness support

• Flexible PTO and generous company holidays, including Juneteenth and Winter Break

• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team

Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

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