Data Scientist

We’re looking for a Data Scientist to join our Triangle Data Products team. You’ll help build and enhance models that drive targeted offers, recommendations, and customer engagement for millions of loyalty members. This role is ideal for someone early in their career who wants to grow into applied ML, experimentation, and production systems.

What You’ll Do:

• Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.

• Explore, clean, and analyze large datasets to uncover insights and trends.

• Build prototypes, run experiments, and contribute to model evaluation and validation.

• Work with engineering teams to integrate models into production pipelines.

• Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms).

• Build dashboards and reports that communicate findings to business partners.

• Participate in code reviews and follow team best practices.

What You Bring:

• 2+ years of experience in data science or applied machine learning.

• Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM).

• Solid SQL skills and comfort working with large datasets.

• Understanding of core ML concepts: regression, classification, validation, feature engineering.

• Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills.

• Ability to communicate analytical findings clearly and concisely.

• Exposure to recommendation systems or marketing analytics is an asset.

• Experience with A/B testing or experiment analysis is an asset..

• Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset.

• Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset.

We’re always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs

• Performance incentives, Continuing Education Programs

• Other perks to support your well-being

• Career growth opportunities and product discounts

Our typical hiring range is between $57,000 and $88,000 Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements.