Data Scientist 1

AirReps•WALLER, TX

11h

About The Position

The Data Scientist role links business strategy to enterprise data by transforming structured and unstructured data into actionable information, advanced analytics, and predictive models that support data-driven decisions across the organization. This role applies statistical, analytical, visualization, and data science methods while also understanding the data environment, data sources, and core data engineering practices needed to make data reliable, accessible, and fit for analysis. The Data Scientist 1 partners with business stakeholders, data engineers, analysts, and technology teams to improve data quality, enable scalable data delivery, and translate insights into measurable business value as part of the broader Digital Transformation.

Requirements

Basic knowledge of programming and analytical languages/tools such as Python, SQL, Perl, Java, C/C++, or similar technologies
Working understanding of data science methods, analytical tools, statistical techniques, and visualization approaches used to extract insights from large or complex data sets.
Working understanding of data engineering concepts including data pipelines, ETL/ELT, data quality, databases, cloud data warehouses, and scalable data delivery.
Ability to work with structured and unstructured data from multiple channels, systems, and sources.
Demonstrated analytical, quantitative, and creative problem-solving skills.
Effective written and verbal communication skills, including the ability to explain analytical findings to technical and non-technical audiences.
Effective organizational and time management skills, including prioritization of multiple tasks and projects.
Solid collaboration abilities; professional and diplomatic team builder across business, analytics, and technology teams.
Ability to apply good judgment, strong work ethic, and integrity on the job.

Nice To Haves

Marketing-based experience preferred, but not required (either D2C or B2B performance marketing)
HVAC industry experience preferred, but not required

Responsibilities

Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies.
Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis.
Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data.
Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions.
Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions.
Analyze and discern 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 to help them monitor, measure, or predict how the company is performing.
Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise.
Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms.
Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse.
Provide data science support and ad hoc analysis to enterprise leadership as needed.
Perform additional projects/duties to support ongoing business needs.