Senior Data Scientist, Marketing Analytics & Insights

Daikin Comfort; Waller (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Daikin Comfort is seeking a Data Scientist to connect business strategy with data, turning structured and unstructured information into actionable insights and predictive models. You will influence how the organization values data, drive digital transformation, and help optimize customer experiences to create long-term value.

Key responsibilities include building models, enriching data sets, collaborating with data providers, measuring marketing effectiveness, and delivering timely visuals to

Qualifications

• 5+ years in data science, marketing analytics, or related fields.
• Experience solving complex business problems with analytics.
• Marketing analytics or D2C/B2B experience preferred.
• HVAC industry experience is a plus.

Responsibilities

• Gather, process, clean, enrich, and integrate data to build predictive models.
• Improve data structure and create new datasets for marketing analysis.
• Engage with data providers to enrich models and inform data purchases.
• Link data sources to strategy and measure key data points for decisions.
• Analyze marketing campaigns to assess effectiveness and ROI.
• Utilize visualization tools to deliver timely data to decision makers.

Skills

Statistical analysis

Machine learning

Data storytelling

SQL

Python

R

Data visualization

Tableau/Power BI

Experimentation & A/B testing

Communication skills

Education

Bachelor’s degree in Marketing/Business/Engineering/CS

Master’s degree in Data Science/Marketing/Business

Tools

Snowflake

Microsoft SQL Server

Oracle

PostgreSQL

Job description

Daikin Comfort is seeking a Data Scientist to connect business strategy with data, turning structured and unstructured information into actionable insights and predictive models. You will influence how the organization values data, drive digital transformation, and help optimize customer experiences to create long-term value.

Key responsibilities include building models, enriching data sets, collaborating with data providers, measuring marketing effectiveness, and delivering timely visuals to