Data Scientist: Insights, Modeling & Strategy

Ultipro; Waller (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Benefits day one

Training programs

Growth opportunities

Job summary

Daikin Comfort Technologies Mfg, located at the Waller, TX facility, is seeking a Data Scientist to link business strategy to data, transforming data into actionable insights and predictive models. You will work with structured and unstructured data to inform marketing strategies and customer experiences, influencing organizational decisions through data-driven storytelling.

The role emphasizes collaboration, continuous improvement, and engaging with data across the enterprise to drive value.

Qualifications

• Bachelor’s degree in a quantitative field; master’s preferred.
• Proven experience in data science, analytics, or marketing analytics.
• Strong SQL and data visualization skills.
• Experience with marketing data and customer analytics is a plus.

Responsibilities

• Gather, process, clean, enrich, and integrate structured and unstructured data to build models.
• Develop predictive models to inform business strategies.
• Analyze data to uncover drivers of historical performance.
• Collaborate with stakeholders to drive data-driven decisions.
• Create and present insights using visualization tools.

Skills

Analytical skills

Statistical analysis

Machine learning

Data storytelling

Communication

Experimentation

SQL

Tableau

Power BI

Python/R

Team player

Independent work

Education

Bachelor's degree

Master's degree

Tools

MS Excel

SQL Server

Oracle

PostgreSQL

Tableau

Power BI

Qlik

Python

R

Job description

Daikin Comfort Technologies Mfg, located at the Waller, TX facility, is seeking a Data Scientist to link business strategy to data, transforming data into actionable insights and predictive models. You will work with structured and unstructured data to inform marketing strategies and customer experiences, influencing organizational decisions through data-driven storytelling.

The role emphasizes collaboration, continuous improvement, and engaging with data across the enterprise to drive value.