Senior Data Scientist

Responsibilities

• Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.
• Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.
• Evaluate and optimize model performance using statistical and ML techniques.
• Design and execute A/B tests to measure and validate model impact.
• Perform customer segmentation using various clustering techniques.
• Develop and implement model monitoring dashboards and establish model governance techniques.
• Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.
• Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment.
• Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.

Qualifications

• 5+ years of experience in data science with a strong emphasis on machine learning modeling.
• Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
• Expertise in SQL and working with large, complex structured and semi-structured datasets.
• Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
• Experience in feature engineering, model selection, and performance optimization.
• Experienced in designing, executing, analyzing, and reporting on experiments.
• Strong communication skills and ability to present findings to technical and non-technical stakeholders.
• Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred.

Preferred Skills

• Experience working in fintech, e-commerce, or other data-rich consumer-facing industries.
• Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training.
• Experience with dbt for data modeling.
• Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases.
• Experience using the Scala programming language for developing scalable and efficient data pipelines.

Compensation & Benefits

This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits such as:

• Stock options
• 401(k) savings plan
• Discretionary performance bonus program
• Medical, Dental and Vision premiums covered at 100% for you and your dependents
• Unlimited time off and paid holidays
• Generous parental leave policy
• Commuter benefits
• Healthcare and Dependent care FSA benefit
• Employee Assistance Programs focused on mental health
• Access to mental health apps
• Team building activities