Data Scientist

About the Company

We’re Apptor.AI. We’re building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack. If you want to build category-defining infrastructure with a team that ships weekly, let’s talk.

About the Role

As a Data Scientist at Apptor.AI, you’ll be at the heart of the intelligence behind our product. You’ll 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.

Qualifications

• 2-4 years of experience in data science and predictive modeling in a production environment
• Proficiency in Python, including common libraries like Pandas, NumPy, and scikit-learn.
• Strong understanding of machine learning techniques: classification, clustering, regression.
• Strong background working with relational databases (SQL).
• Previous experience working with business-oriented companies.
• 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.

Required Skills

• 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.