Personalization Data Scientist - ML & Experiments

ATG Entertainment USA; San Antonio (TX); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401k Match

Paid Vacation & Holidays

Job summary

ATG Entertainment is seeking a Data Scientist to develop and improve machine learning models for customer personalization and marketing effectiveness. You will work under a Senior Data Scientist, focusing on modelling, experimentation, and analysis to drive engagement and conversions.

The role is hands-on with model development and testing, collaborating with ML Engineers for deployment and serving, and partnering with Marketing/CRM teams across the US and UK to ensure impact.

Qualifications

• 3+ years’ experience building and improving predictive models used in real products or decision-making.
• Degree in a quantitative field (e.g. CS, Statistics, Math) or equivalent practical experience.
• Strong skills in Python and applied machine learning with maintainable analysis.
• Experience developing and evaluating models (propensity, segmentation, recommendations).
• Comfortable designing and analyzing experiments (A/B tests, holdouts).
• Experience with modern data stacks (SQL, Snowflake/dbt) to prepare features and analyze data.
• Familiarity with production deployment and working with ML Engineers.

Responsibilities

• Contribute to designing, scaling/building, evaluating, integrating, and refining ML models.
• Collaborate with Marketing and Engineering across US and UK to define ML underpinnings for personalized communications.
• Build reusable science infrastructure and robust evaluation frameworks.

Skills

Python

Applied ML

Experimentation

Data analysis

Model evaluation

Education

Degree in quantitative field

Tools

SQL

Snowflake/dbt

Job description

ATG Entertainment is seeking a Data Scientist to develop and improve machine learning models for customer personalization and marketing effectiveness. You will work under a Senior Data Scientist, focusing on modelling, experimentation, and analysis to drive engagement and conversions.

The role is hands-on with model development and testing, collaborating with ML Engineers for deployment and serving, and partnering with Marketing/CRM teams across the US and UK to ensure impact.