Data Scientist, Level 2

About the role

Daikin Comfort Technologies Mfg is seeking a professional, skilled individual for our Data Scientist position at our Waller, TX facility. The Data Scientist role at its core links business strategy to the data. 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.

Why work with us?

> Benefits are effective on day one for all full-time direct hires.

> Training programs are available to help guide team members and develop new skills.

> Growth Opportunities - there are immense opportunities to grow your career.

> You will be part of a Global Company - our family brands are backed by Daikin Industries, Ltd.

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 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.

Nature & 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 & 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

Knowledge of 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

Strong understanding of relational databases with experience in SQL – Microsoft SQL Server, Oracle, Postgres

Moderate experience with A/B testing and data science techniques to build and implement predictive models

Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)

Moderate experience with Python, R, Alteryx or other analytics platforms a plus (or similar applications)

Eager to make a big impact at a large company – you show up for work and get things done

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

Ability to apply good judgment, strong work ethic, and integrity on the job.

Experience

3-5 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

Marketing-based experience preferred, but not required (either D2C or B2B performance marketing)

HVAC industry experience preferred, but not required

Education/Certification

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: No

Physical Requirements / Work Environment

Must be able to perform essential responsibilities with or without reasonable accommodations

Reports To

Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

The Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.