Data Engineer (ML) - Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer. In this role, you will work with Sales, Marketing, and Product teams to define, calculate, and grow their key operating metrics (eg sales, conversions, retention).
This individual will conduct exploratory data analysis, statistical analysis, and predictive modeling of the data. At a technical level, this role will create data models in dbt, perform EDA in Pandas, build ML models and libraries in Python, and visualize success metrics in Tableau, all in about equal proportion. This role blends data engineering, data analytics and data science.
The current technical stack includes Snowflake, dbt, Python and Tableau. This position sits within the Analytics team of the broader Data & Analytics department and works closely with our Data Engineering, Business Intelligence, and Machine Learning teams.2 or 3 days onsite work in the NYC midtown office is required.
Base salary is in the $140-160K range DOE, plus generous bonus and stock options. ResponsibilitiesWrite SQL (in dbt) to transform, validate, enrich, and aggregate our data. Iterate on ML model development (model selection/evaluation, feature engineering, hyperparameter tuning).
Develop ML libraries to accelerate development workflow (versioning, tracking, visualization, and explainability). Conduct and interpret statistical analyses (hypothesis tests, regression, PCA, etc.). Visualize key performance metrics within Tableau.
Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models. Participate in our support rotation and SDLC release process. QualificationsVery proficient in SQL and data modeling Very proficient in Python Proficient in software development (eg OOP, APIs, ORMs, deployment, testing) Proficient in statistics, ML models and ML development Experience with, or interest in learning, a BI tool 4 to 6 years of experience in a data-related role Bachelor's degree or higher in computer science, mathematics, statistics, or related technical field .
