Data Scientist 1

Job Description

Job Description

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.

Position Responsibilities may include:

• 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.

Nature & Scope:

• Possesses a broad theoretical job knowledge typically obtained through advanced education.
• Has no discretion to deviate from established procedures by performing structured work assignments.
• Work is closely supervised.
• Problems faced are not typically difficult or complex.
• Explains facts, policies, and practices related to the job area.

Knowledge & Skills:

• 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.

Competencies:

Experience:

• 0-2 years of work experience in a Marketing / Consulting / Business Analyst / Data Science role  
• Light experience solving complex business problems involving a heavy amount of analytics / data science  
• Marketing-based experience preferred, but not required (either D2C or B2B performance marketing)  
• HVAC industry experience preferred, but not required  

Education/Certification:

• Bachelor’s degree (preferred) in Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis

People Management: No

Physical Requirements / Work Environment:

• Must be able to perform essential responsibilities with or without reasonable accommodations

Reports To:

• MANAGER, QUALITY SYSTEMS

Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

The Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.