Data Scientist, Level 2

About the role

Daikin Comfort Technologies is seeking a professional, skilled individual for a Data Scientist position at its Waller, TX facility. The role links business strategy to data, transforming structured or unstructured data into actionable information and predictive models that impact the organization. The Data Scientist will break down complex problems using the full data science toolkit, provide insights to stakeholders, keep the customer front‑of‑mind, and optimize the customer experience to create long‑term business value. As a pioneering Data Scientist, you will influence cultural change around data usage as part of a broader Digital Transformation.

Responsibilities

• Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models that turn data into insights.
• Creatively analyze data to understand drivers of historical business performance and build predictive models to inform future strategies.
• Deeply understand the organization’s data structure, improve it, and create new data sets when needed to inform marketing analysis.
• Engage with third‑party data providers to strengthen and enrich data models and inform purchase of new data.
• Continuously evolve the ability to measure and track key data points to enable data‑driven decisions.
• Collect and provide quantitative and qualitative information to measure the effectiveness of marketing activities and answer strategic business questions.
• Analyze campaign execution, targeting, and optimization of marketing investment to deliver sales and operating profit across brands.
• Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers.
• Perform marketing research and analysis to inform customer targeting, segmentation, and longitudinal tracking of Customer Lifetime Value.
• Assist with internal assessments of workflow processes, especially in Marketing, and propose more efficient procedures via automation.
• Maintain and manage the Marketing SQL database and Snowflake cloud data warehouse.
• Provide data science support and ad‑hoc analysis to enterprise leadership as needed.
• Perform additional projects and duties to support ongoing business needs.

Nature & Scope

Applies practical knowledge typically obtained through advanced education and work experience. Encouraged to seek continuous improvements, performs a range of mainly straightforward assignments, works independently with general supervision, and tackles difficult but not overly complex problems.

Knowledge & Skills

• Strong analytical skills with attention to detail; solid knowledge of statistical analysis, machine learning, computer science principles, and basic programming.
• Moderate data storytelling ability—producing actionable insights, not just data crunching.
• Excellent verbal and written communication, capable of engaging with all organizational levels.
• Understanding of experimentation and testing of Minimum Viable Products.
• Proficiency in MS Office, especially Excel, and ability to translate data insights into PowerPoint presentations.
• Strong understanding of relational databases; experience with SQL (Microsoft SQL Server, Oracle, Postgres).
• Experience with A/B testing and data‑science techniques for predictive modeling.
• Experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI.
• Moderate experience with Python, R, Alteryx, or similar analytics platforms (a plus).
• Self‑starter attitude, ability to work both independently and collaboratively, and willingness to go the extra mile.
• Ability to grasp complex concepts quickly, manage multiple projects, and shift direction rapidly.
• Intellectual curiosity and passion for using data to solve problems creatively.
• Good judgment, strong work ethic, and integrity.

Experience

• 3–5 years of work experience in a Marketing, Consulting, Business Analyst, or Data Science role.
• Experience solving complex business problems with heavy analytics or data‑science components.
• Marketing‑based experience preferred (D2C or B2B performance marketing), but not required.
• HVAC industry experience preferred, but not required.

Education / Certification

• Bachelor’s degree (required) in Marketing, Business, Engineering, Statistics, Mathematics, Economics, Computer Science, or a related field with strong quantitative emphasis.
• Master’s degree (preferred) in Data Science, Business Administration, Marketing, or a related discipline.

Benefits

• Benefits effective on day one for all full‑time direct hires.
• Training programs available to guide team members and develop new skills.
• Immense growth opportunities to advance your career.
• Being part of a global company backed by Daikin Industries, Ltd.