Data Scientist 1
About The Position
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 significant 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 informed in all 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.
Requirements
- Basic knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python
- Understand analytical tools is one of the most helpful data scientist skills for extracting valuable information from an organized data set.
- Understand unstructured data that comes from different channels and sources.
- Ability to apply good judgment, strong work ethic, and integrity on the job.
Nice To Haves
- Marketing-based experience preferred, but not required (either D2C or B2B performance marketing)
- HVAC industry experience preferred, but not required
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
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
