Senior Data Scientist: Predictive Analytics for SaaS

Alexander Technology Group; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Alexander Technology Group seeks a Senior Data Scientist to build predictive models, create analytical capabilities, and help shape the future of their SaaS AI-driven platform. The role focuses on forecasting, anomaly detection, and causal analysis while collaborating with Product and Engineering in Boston.

Ideal candidates have expert Python and SQL skills, a strong statistics background, and experience deploying production ML solutions on cloud platforms like Snowflake or BigQuery.

Qualifications

• Strong background in statistics, machine learning, and predictive modeling.
• Expert-level Python and SQL skills.
• Experience deploying production machine learning models.
• Knowledge of forecasting, Bayesian methods, or causal inference.
• Experience with cloud data platforms such as Snowflake or BigQuery is a plus.
• Retail, eCommerce, or other transaction-heavy industry experience is preferred.

Responsibilities

• Develop predictive models, forecasting, anomaly detection, and causal analysis.
• Build customer and product analytics that drive business decisions.
• Design, test, and deploy production-ready machine learning solutions.
• Work with large-scale datasets using Python and SQL.
• Partner with Product and Engineering to deliver scalable analytical features.

Skills

Statistics

Machine learning

Predictive modeling

Python

SQL

Production deployment

Forecasting

Bayesian methods

Causal inference

Retail/ecommerce

Tools

Snowflake

BigQuery

Job description

Alexander Technology Group seeks a Senior Data Scientist to build predictive models, create analytical capabilities, and help shape the future of their SaaS AI-driven platform. The role focuses on forecasting, anomaly detection, and causal analysis while collaborating with Product and Engineering in Boston.

Ideal candidates have expert Python and SQL skills, a strong statistics background, and experience deploying production ML solutions on cloud platforms like Snowflake or BigQuery.