Data Scientist 3

About the role

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.

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
• Deepen understanding of the organization's data structure; look for ways to improve to enhance the 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

Nature and Scope

Applies advanced knowledge of job area typically obtained through advanced education and work experience. Manages projects and processes while working independently and with limited supervision. Coaches and reviews the work of lower-level professionals. Problems faced are difficult and sometimes complex; takes a new perspective on existing solutions.

Knowledge and Skills

• Mastery of analytical skills with attention to detail; mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles
• Strong data storytelling ability – ability to produce actionable information/insights, not just data crunching
• Very strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
• Experienced with 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
• 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