Senior Data Scientist - Embedded Insights

About the Role

The Embedded Insights team is structured as a central team of machine learning engineers and data scientists, and you will embed with partner teams to bring machine learning models to life. As the first Data Scientist on the team, you will play a foundational role in building the analytics and measurement framework that supports a broad portfolio of internal and customer-facing products.

What You Will Do

• Apply your expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve the product suite
• Inform and influence product and engineering teams through your data analysis and presentations
• Make long-term data science roadmap decisions, such as how machine learning and data science iteration should be done at Plaid
• Champion a data-first approach toward decision-making across the entire organization
• Analyze entities across the Plaid network to better understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks
• Create dashboards and reporting frameworks that provide clear visibility into machine learning model performance
• Evaluate the impact and value of machine learning models on both customer and internal datasets
• Design and analyze experiments, communicate findings across teams, and use data-driven insights to uncover opportunities to improve existing products and expand Plaid's offerings
• Translate complex analyses into compelling, actionable narratives for technical and business stakeholders

What We Are Looking For

• 5+ years of industry experience in a Data Science role
• Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
• Deep familiarity with SQL and data visualization tools
• Understanding of modern machine learning techniques, such as classification, clustering, optimization
• Proven ability to tailor your solutions to business problems in a cross-functional team
• Ability to code and iterate independently in Python to conduct exploratory data analysis
• Experience building data pipelines in DBT or Airflow is a plus
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills

Nice to Have

• Experience working with large datasets and distributed computing systems
• Knowledge of cloud-based data platforms, such as AWS or GCP
• Familiarity with agile development methodologies and version control systems, such as Git
• Experience with machine learning frameworks, such as scikit-learn or TensorFlow

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO and remote work options
• Professional development opportunities, including training and conference sponsorships
• Access to top-tier technology and tools
• Collaborative and dynamic work environment
• Opportunity to work on high-impact projects that drive business growth and customer engagement
• Recognition and reward for outstanding performance and contributions

• Make sure your resume and cover letter are tailored to the specific requirements of the role, highlighting your experience with machine learning and data analysis.
• Prepare to discuss your approach to data-informed decision making and how you have applied it in previous roles.
• Be ready to provide examples of your experience working with large datasets and distributed computing systems.
• Familiarize yourself with Plaid's products and services, and be prepared to discuss how your skills and experience align with the company's mission and goals.
• Practice your presentation skills, as you will be expected to communicate complex insights effectively to both technical and business stakeholders.
• Consider creating a portfolio of your work, including examples of your data visualizations and machine learning models, to share with the hiring team.