Senior Data Scientist - Embedded Insights
Senior Data Scientist establishing analytics, metrics, experimentation, and model-evaluation practices for an embedded machine learning team. The role requires 6+ years of data science or analytics experience, strong SQL and Python skills, and the ability to influence product and engineering decisions.
About the job
Responsibilities
- Analyze entities across the Plaid network to identify behavior, opportunities, anomalies, and risks.
- Create foundational metrics, dashboards, and monitoring systems for network health and machine learning model performance.
- Evaluate the value and performance of machine learning models using customer and internal data.
- Identify opportunities to improve existing models and communicate actionable findings to product and engineering leaders.
- Design experiments, define success metrics and guardrails, analyze results, and communicate recommendations.
- Analyze product and customer data to identify opportunities for product improvement and expansion.
- Partner with cross-functional teams to build reliable data models and analytics workflows.
- Apply quantitative analysis, data mining, and data visualization to improve network health and products.
- Establish analytics practices and frameworks and help shape data science and machine learning roadmaps.
Requirements
- 6+ years of industry experience in data science or a related analytics role.
- Deep familiarity with SQL and data visualization tools.
- Understanding of modern machine learning techniques, including classification, clustering, and optimization.
- Experience evaluating model performance, identifying improvement opportunities, and connecting technical results to business outcomes.
- Experience tailoring analytical solutions to business problems with cross-functional partners.
- Ability to code and iterate independently in Python, particularly for exploratory data analysis.
- Strong written and verbal communication skills, including explaining analytical methods, tradeoffs, and recommendations to technical and non-technical audiences.
- Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a related field.
Nice-to-haves
- Experience building or partnering on data pipelines using dbt or Airflow.
Compensation and Benefits
- Base salary range: $190,800–$262,800.
- Additional compensation may include equity and/or commission.
- Comprehensive benefits include medical, dental, vision, and 401(k).
Skills
SQL, Python, Machine Learning, Classification, Clustering, Optimization, Data Visualization, Data Mining, dbt, Airflow, Data Modeling, Experimentation
Similar jobs
Data Science jobs
United States
Leads ads fraud measurement, detection, and automated enforcement for Reddit Safety, translating behavioral analysis into production pipelines, models, rules, and governance. Requires advanced quantitative education, substantial data science experience, and expertise in fraud evaluation, machine learning, Python, and SQL.
Gusto
San Francisco, CAStaff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Gusto
Denver, COLeads and develops a product-focused data science team while partnering with cross-functional leaders to shape growth strategy, measurement, experimentation, and AI-powered product development. Requires 10+ years in data science or related fields, including 4+ years managing data science teams.
Duolingo
New York, NYSenior Data Scientist supporting user growth by embedding with product teams, guiding experimentation and data-informed decisions, and building analyses, dashboards, and scalable models. Requires strong quantitative communication, SQL, Python or R, machine learning, and a graduate degree or equivalent expertise.
Duolingo
New York, NYSenior Data Scientist responsible for advancing and delivering trustworthy user-growth forecasts, partnering with Product, Finance, and Strategy to influence business decisions. Requires strong forecasting experience, quantitative expertise, SQL and Python proficiency, and excellent communication skills.