As a Data Scientist, youll be at the heart of the intelligence behind our product. Youll develop predictive models, analyze complex behavioral datasets, and collaborate across engineering and product to turn insights into real-time actions for our clients. This is a hands-on role with plenty of ownership and room to grow.
Responsibilities
Model Development
Design scalable ML models that predict customer churn, ideal purchase timing, product recommendations, and more.
Data Exploration & Feature Engineering
Structure and clean large datasets, develop features, and surface key behavioral patterns.
Collaborate with Engineering
Work closely with developers to implement models and ensure performance at scale.
Business Insight Generation
Turn data into actionable insights that drive product features and client decisions.
Requirements:
3+ years of experience in data science or predictive modeling.
Proficiency in Python, including common libraries like Pandas, NumPy, scikit-learn.
Strong understanding of machine learning techniques: classification, clustering, regression.
Experience working with relational databases (SQL).
Familiarity with cloud platforms or big data frameworks (e.g., Spark, Airflow) is a plus.
Curiosity, ownership mindset, and the drive to make an impact in a fast-moving startup.
3+ years of experience in data science or predictive modeling.
Proficiency in Python, including common libraries like Pandas, NumPy, scikit-learn.
Strong understanding of machine learning techniques: classification, clustering, regression.
Experience working with relational databases (SQL).
Familiarity with cloud platforms or big data frameworks (e.g., Spark, Airflow) is a plus.
Curiosity, ownership mindset, and the drive to make an impact in a fast-moving startup.
This position is open to all candidates.
