Senior Data Scientist - Payments ACH
Plaid
Responsibilities
- Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
- Identifying useful signals that can be fed into machine learning models
- Informing and influencing product and engineering teams through your data analysis and presentations
- Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
- Championing a data-first approach toward decision-making across the entire organization
Qualifications
- 5+ years of industry experience in a product-focused Data Science role
- Experience working on ACH risk strategy or system, building Guaranteed ACH product is preferred
- Deep familiarity with SQL and data visualization tools
- Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
- Familiarity with the AWS stack
- Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing
- 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
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
190800 - 286800 USD a year
The target base salary for this position ranges from $190,800/year to $286,800/year [in Zone 1, in Zone 4 or encompassing all Zones]. The target base salary will vary based on the job's location.
Our geographic zones are as follows:
Zone 1 - San Francisco / New York City / Seattle
Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
Zone 4 - All other US cities
The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.