Data Scientist

• 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:

• Applies practical knowledge of job area 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
• Problems faced are difficult but not typically complex

• Strong analytical skills with attention to detail; strong knowledge of statistical analysis, machine learning process, computer science principles, and basic programming principles
• Moderate data storytelling ability - ability to produce actionable information/insights, not just data crunching
• Strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
• Knowledge of experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
• Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations
• Strong understanding of relational databases with experience in SQL - Microsoft SQL Server, Oracle, Postgres
• Moderate experience with A/B testing and data science techniques to build and implement predictive models
• Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
• Moderate experience with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
• Eager to make a big impact at a large company - you show up for work and get things done
• Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too
• Ability to grasp complex concepts and systems quickly
• Ability to manage multiple projects and shift direction quickly
• Intellectual curiosity and strong passion for using data to solve problems creatively
• Ability to apply good judgment, strong work ethic, and integrity on the job.

Experience:

• 3-5 years of work experience in a Marketing / Consulting / Business Analyst / Data Science role
• 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 (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis
• Master’s degree (preferred) in Data Science / Business Administration / Marketing

People Management: No

Physical Requirements / Work Environment:

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

Reports To:

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.