{"id":3278714,"url":"https://alion.io/job/daikin-comfort-data-scientist-3","title":"Data Scientist 3","company":{"id":1808051,"name":"Daikin Comfort","domain":"daikincomfort.com","url":"https://alion.io/company/daikincomfort","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Waller, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Alteryx","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Office","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-19T06:47:43Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-11-04T22:00:09Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"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.\nPosition Responsibilities may include;\nGather, 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 \nDeep 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\nEngage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data\nDeeply 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\nCollect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions\nAnalyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating profit across brands\nUtilize 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\nPerform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise\nAssist 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\nAssist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse\nProvide data science support and ad hoc analysis to enterprise leadership as needed\nNature and Scope:\nApplies advanced knowledge of job area typically obtained through advanced education and work experience \nManages projects and processes while working independently and with limited supervision \nCoaches and reviews the work of lower-level professionals \nProblems faced are difficult and sometimes complex; takes a new perspective on existing solutions \nKnowledge and Skills:\nMastery of analytical skills with attention to detail; mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles\nStrong data storytelling ability - ability to produce actionable information/insights, not just data crunching\nVery strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization\nExperienced with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up\nProficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations \nProficient in relational databases with strong experience in SQL - Microsoft SQL Server, Oracle, Postgres\nProficient with A/B testing and data science techniques to build and implement predictive models\nProficient with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)\nProficient with Python, R, Alteryx or other analytics platforms a plus (or similar applications)\nEager to make a big impact at a large company - you show up for work and get things done\nNatural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too\nAbility to grasp complex concepts and systems quickly\nAbility to manage multiple projects and shift direction quickly\nIntellectual curiosity and strong passion for using data to solve problems creatively\nExperience:\n5+ years of work experience in a Marketing / Consulting / Business Analyst / Data Science role\nMastery solving complex business problems involving a heavy amount of analytics / data science\nMarketing-based experience (either D2C or B2B performance marketing)\nHVAC industry experience preferred, but not required\nEducation:\nBachelor’s degree (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis\nMaster’s degree (required) in Data Science / Business Administration / Marketing\nPeople Management: No\nPhysical Requirements / Working Environment;\nMust be able to perform essential responsibilities with or without reasonable accommodations.\nReports to:\nManager, Data Science & Marketing Analytics\nQualified 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.\nThe 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. 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