Machine Learning Engineer / Data Scientist

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November 13

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Belardi Wong

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Marketing • eCommerce • B2C

Belardi Wong is a marketing agency that specializes in integrated marketing strategies, focusing on both online and offline channels. They offer a range of services including direct mail, customer acquisition, digital strategy, and creative services. With extensive experience working with over 300 premium brands and retailers, Belardi Wong is dedicated to enhancing customer experiences and driving growth through data-driven insights and cross-channel media integration.

51 - 200 employees

Founded 1997

🛍️ eCommerce

👥 B2C

📋 Description

• Develop and deploy machine learning models for audience segmentation, user scoring, and predictive response modeling. • Build data pipelines that transform raw behavioral, demographic, and engagement data into model-ready features. • Partner with engineering teams to productionize models within real-time and batch processing environments (e.g., Spark, Airflow, AWS). • Experiment with natural language processing (NLP) and content relevance algorithms to improve personalization of email subject lines and messaging. • Analyze email deliverability, open/click rates, and conversion signals to identify patterns and optimize campaign strategies. • Collaborate cross-functionally with product managers, marketers, and data engineers to define data-driven solutions. • Continuously evaluate and improve model performance, bias mitigation, and explainability. • Contribute to internal ML tooling, MLOps, and feature store development to accelerate experimentation and deployment.

🎯 Requirements

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field. • 5–7 years of hands-on experience in machine learning or data science roles. • Strong proficiency in Python and libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow. • Solid understanding of statistical modeling, A/B testing, and feature engineering. • Experience with SQL, Spark, and cloud data environments (AWS, GCP, or Azure). • Experience deploying ML models in production using CI/CD, Airflow, MLflow, or Kubeflow. • Preferred: Experience in AdTech, MarTech, or Email Marketing domains. • Familiarity with identity resolution, lookalike modeling, or probabilistic matching. • Understanding of privacy-first modeling approaches (e.g., differential privacy, federated learning). • Experience optimizing deliverability models, churn prediction, or customer lifetime value (LTV) forecasting. • Strong communication skills and the ability to explain complex models to non-technical stakeholders. • Experience with Salesforce Datorama, or Salesforce development experience.

🏖️ Benefits

• 401k w/ company match • business casual dress • summer hours • coaching • mentorship programs • customized training & more!