Data Scientist 2

Position Summary:

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 complex 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.

Position Responsibilities: May include;

• 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 Quality 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 Quality analysis
• Engage with third-party data providers to strengthen and enrich data models as needed
• 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 quality 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 product performance.
• Perform research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of quality across the enterprise
• Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Quality is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms
• Assist with maintenance and management of Quality SQL database, Snowflake cloud data warehouse and ETL tools
• Provide data science support and ad hoc analysis to enterprise leadership as needed

Nature and 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

Knowledge and Skills:

• 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
• Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations and interactive visualizations
• Strong understanding of relational databases with experience in SQL – Microsoft SQL Server, Oracle and/or Postgres
• Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
• Moderate experience with Python, R, Alteryx, Matillion or other ETL/Analytics platforms a plus (or similar applications)
• Curate and maintain data and processes
• Perform continuous sourcing of internal and external data that could be used in analyses
• Produce requested queries, analyses, and reports in a timely manner
• Produce reports and applications using Microsoft’s Power Platform (Power Automate, Power Apps)
• Be self-sufficient when it comes to data queries and report development
• Be resourceful when trying to gather data and utilize all of the resources at their disposal
• Perform additional projects/duties to support ongoing business needs
• 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

Experience:

-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
• Quality-based experience preferred, but not required
• HVAC industry experience preferred, but not required

Education:

• 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 (Y/N) No

Physical Requirements / Working Environment Must be able to perform essential responsibilities with or without reasonable accommodations.

Reports to: Manager, Warranty Analytics