Data Scientist

Job Description

We’re looking for a Data Scientist who thrives on solving high-impact problems using a blend of experimentation, modeling, and real-world constraint handling. You’ll join a cross-functional team building intelligent systems that drive product decisions, optimize operational efficiency, and uncover opportunities for growth. This is not a dashboard role — you’ll be prototyping causal inference frameworks, pressure-testing LLM behavior, and working alongside engineering to deploy real-time learning systems in production.

Key Responsibilities

• Design and own experiments (A/B, multivariate, adaptive) to guide strategic decisions in areas like user acquisition, recommendation, and pricing.
• Build robust predictive models (e.g., churn, fraud, lifetime value) using real-time signals from structured and unstructured data.
• Collaborate with engineers to deploy ML solutions at scale, including model monitoring, versioning, and feedback loops.
• Conduct deep-dive causal analysis (instrumental variables, synthetic control, uplift modeling) to separate correlation from impact.
• Work closely with product managers and designers to translate insights into product actions — not just decks.
• Communicate uncertainty, trade-offs, and model assumptions clearly to both technical and non-technical stakeholders.

Minimum Qualifications

• 3+ years experience in data science, machine learning, or applied statistics in a production setting.
• Proficient in Python (or R), SQL, and at least one ML framework (e.g., scikit-learn, XGBoost, TensorFlow).
• Deep understanding of experimental design and causal inference techniques (not just t-tests and p-values).
• Experience working with large-scale datasets (e.g., distributed computing with Spark, Dask, or Snowflake).
• Comfortable taking a business question from ambiguity to model deployment — end to end.
• Strong communication skills with an emphasis on clarity, context, and driving decisions.

Preferred Qualifications

• Experience deploying models into production systems via APIs or batch workflows.
• Prior work with user behavior modeling, personalization systems, or dynamic pricing.
• Familiarity with modern data stack tools (dbt, Airflow, Looker, or equivalent).\

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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