Data Scientist 2

Goodman Manufacturing - Waller, TX

Full-time

Waller, TX

Warehousing and Storage

About the position

The Data Scientist role at its core links business strategy to the data. You 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. In addition, you 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.
• 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.
• Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities.
• 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.
• Perform marketing research & analysis to inform customer targeting & segmentation.
• Assist with internal assessments of workflow processes to identify inefficiencies.
• Propose more efficient processes and procedures via process automation leveraging tech platforms.
• Assist with maintenance and management of procurement 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.

Requirements

• 3-5 years of work experience in a Manufacturing/ supply chain / Business Analyst / Data Science/Engineering role.
• Strong analytical skills with attention to detail.
• Strong knowledge of statistical analysis, machine learning process, computer science principles, and basic programming principles.
• Strong communication skills, both verbally and written.
• Knowledge of experimentation and testing of Minimum Viable Products.
• Proficient in MS Office especially Excel.
• Strong understanding of relational databases with experience in SQL - Microsoft SQL Server, Oracle, Postgres.
• Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI.
• Moderate experience with A/B testing and data science techniques.
• Moderate experience with Python, R, Alteryx or other analytics platforms a plus.
• Ability to manage multiple projects and shift direction quickly.
• Intellectual curiosity and strong passion for using data to solve problems creatively.

Nice-to-haves

• Manufacturing/Supply chain-based experience preferred, but not required.
• HVAC industry experience preferred, but not required.
• Master's degree in Data Science / Business Administration / Marketing.