Data Scientist 3

Ultipro; Waller (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Daikin is seeking a Data Scientist to connect business strategy with data, turning complex data into actionable insights that inform marketing and product decisions. You will build predictive models, develop data-driven strategies, and partner with stakeholders to improve customer experience and enterprise value.

You will work with SQL databases, Snowflake, and visualization tools to tell powerful data stories, while mentoring others and shaping digital transformation initiatives across the

Qualifications

• Advanced analytics and statistics applied to marketing and business problems.
• Ability to transform data into actionable insights for stakeholders.
• Experience with marketing analytics and data-driven decision making.

Responsibilities

• Gather, clean, and integrate structured and unstructured data for advanced modeling.
• Develop predictive models to inform marketing strategy and optimization.
• Collaborate with data providers and internal teams to improve data assets.

Skills

Statistical analysis

Machine learning

Data storytelling

SQL

Data visualization

Python/R

Communication

Experimentation

Excel

Analytical thinking

Education

Bachelor's degree

Master's degree

Tools

Tableau

Power BI

SQL Server

Snowflake

Job description

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.

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

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

Experience:

• 5+ years of work experience in a Marketing / Consulting / Business Analyst / Data Science role
• Mastery solving complex business problems involving a heavy amount of analytics / data science
• Marketing-based experience (either D2C or B2B performance marketing)
• 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 (required) in Data Science / Business Administration / Marketing

People Management: No

Physical Requirements / Working Environment;

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

Reports to:

• Manager, Data Science & Marketing Analytics

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.

Qualifications

Experience

Required

5 years: work experience in a Marketing / Consulting / Business Analyst / Data Science roles

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.