Daikin is looking to transform how they use, talk about, and value their data assets as part of a broader Digital Transformation. The Data Scientist will be instrumental in this cultural change by linking business strategy to data, transforming data into actionable information and predictive models, and providing insights to stakeholders to drive decision-making and optimize customer experience for long-term business value.
Requirements
- Mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles
- Proficient in relational databases with strong experience in SQL – Microsoft SQL Server, Oracle, Postgres
- Proficient with A/B testing and data science techniques to build and implement predictive models
- Proficient with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
- Proficient with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
- Mastery solving complex business problems involving a heavy amount of analytics / data science
- Experienced with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
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
Other
- 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.
- 5+ years of work experience in a Marketing / Consulting / Business Analyst / Data Science role
