Senior Data Scientist
About The Position
At Current, data is central to our operations. As a Senior Data Scientist within the Data and Growth teams, you will concentrate on machine learning modeling to create predictive models that enhance our understanding of customers, improve user experience, and drive efficient member acquisition and retention. This is a practical role focused on tackling complex challenges, developing and deploying ML models, and fostering data-driven decision-making. Your daily tasks will include analyzing, preparing, and structuring data; building and optimizing predictive models; utilizing clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-centric strategies and processes.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- Competitive salary
- Stock options
- 401(k) savings plan
- Discretionary performance bonus program
- Biannual performance reviews
- 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
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches
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What This Job Offers
Job Type
Full-time
Career Level
Senior
