Data Scientist II

The Data Scientist role at its core links business strategy to the data. He/she will transform structured or unstructured data into actionable information and predictive models to make a big impact across the organization. This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts. He/she will keep the customer front of mind in all of the work and optimize the customer experience, which will translate to creating long-term business value. As a pioneering Data Scientist at Daikin, he/she will influence the cultural change around how we use, talk about, and ultimately value our data assets, as part of a broader Digital Transformation.

Please complete the STandard Employment Application. Those who do not, will not be reviewed for this position.

• 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

• Works within knowledge of subject area, occasionally checking with direct manager for additional instructions
• Will take minimal direction from Manager, Data Science & Marketing Analytics
• Will work with and influence functions across the company, inclusive of other Marketing team members, Sales, Finance / Sales Planning, IT, Logistics, Operations, Motili, and third-party vendors as needed
• Will work with our customers (distributors, contractors, homeowners) as needed for analyses

• Venstar is one of the largest thermostat suppliers in the world. We design and produce
  Venstar-branded products, as well as designing and building OEM thermostat products for the
  biggest names in the HVAC industry.
• 
  In addition to thermostat controls, Venstar is a leader in Energy Management Systems for
  small box retailers. From your nearest coffee shop to the largest auto parts retailer, Venstar's
  Surveyor EMS monitors and controls the energy use of more than 30,000 retail locations
  across the United States, Canada, Puerto Rico and Mexico.

• Daikin Texas Technology Park- has a footprint of 4.23 million square feet under a single roof, and is the third largest factory in the United States. Opened in 2017 as the manufacturing, logistics, and engineering center for Daikin's American subsidiary Goodman, the plant makes heating and air conditioning products sold under the Goodman, Amana, and Daikin brands.

• 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 model
• 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 don
• Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently to
• Ability to grasp complex concepts and systems quickl
• Ability to manage multiple projects and shift direction quickly
• Intellectual curiosity and strong passion for using data to solve problems creatively

• 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

• 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