Data Scientist

Job Title: Data Scientist

Overview

We are seeking a highly skilledData Scientistto join our marketing analytics organization. In this role, you will leverage statistical modeling, machine learning, and data engineering techniques to deliver insights, build predictive models, and support datadriven decisionmaking across the business conducting ad-hoc analysis. The ideal candidate is analytically strong, curious, and comfortable working with large datasets and modern data technologies.

Key Responsibilities

Analytics & Modeling (40%)

• Build, validate, and deploymachine learning models(classification, regression, forecasting, clustering, NLP, etc.)

• Conductstatistical analysesand A/B tests to evaluate business performance and product changes.

• Translate ambiguous business questions into structured analytical problems.

Data Engineering & Preparation (10%)

• Acquire, clean, and manipulate large datasets from multiple sources.

• Build reproducible data pipelines using Python, SQL, and Snowflake.

• Work closely with data engineers to optimize data structures and improve data availability.

Insights & Business Impact (40%)

• Deliver clear, actionable insights to stakeholders through ah-hoc analysis, dashboards, visualizations, and written summaries.

• Partner with product, marketing, finance, and operations teams to identify opportunities for optimization.

• Support KPI development and help teams understand business trends.

Model Deployment & Monitoring (10%)

• Collaborate with engineering teams to deploy models into production environments.

• Monitor model performance and retrain/adjust, as necessary.

• Maintain documentation, reproducibility, and version control of all modeling work.

Required Skills & Qualifications

• Bachelors or Master’s degree inData Science, Statistics, Computer Science, Mathematics, or a related field.

• 3–7+ years of experience applying data science techniques in a business environment.

• Proficiency inPython(pandas, scikitlearn, NumPy, statsmodels) or other model building tools.

• Strong SQL skills and experience with relational or cloud databases.

• Deep understanding of statistical modeling, hypothesis testing, and experiment design.

• Experience withmachine learning, feature engineering, and model evaluation.

• Ability to communicate complex concepts to nontechnical audiences.

• Ability to perform ad-hoc analysis for LOBs.

Preferred Qualifications

• Experience withcloud platformssuch as Snowflake, Azure, AWS, or GCP.

• Experience withbig data tools(Spark, Databricks, Snowflake, BigQuery, Redshift).

• Experience withdeep learning(PyTorch, TensorFlow) orNLP.

• Experience building dashboards in Power BI, Tableau, or similar tools.

• Experience as a data analyst conducting ad-hoc analysis.

• Knowledge of data governance and model lifecycle best practices.

Soft Skills

• Strong problemsolving and criticalthinking skills.

• Comfort working in fastpaced, ambiguous environments.

• Curiosity and a continuous learning mindset.