{"id":1617221,"url":"https://alion.io/job/welltower-data-scientist-phd-required-onsite-dallas-tx","title":"Data Scientist - PhD required - onsite Dallas, TX","company":{"id":1915088,"name":"Welltower","domain":"welltower.com","url":"https://alion.io/company/welltower-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":80,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-20T05:45:00Z"}},"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":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":178000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":454},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Alteryx","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-01T15:58:55Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-20T05:36:10Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"WELLTOWER - REIMAGINE REAL ESTATE WITH US\nAt Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious-guided by our mantra: The only easy day was yesterday.\nWe’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.\nABOUT THE ROLE\nWelltower’s Data Scientist is someone who makes value out of data. This resource will work with the current data science team and integrate information from various sources and analyzes it for better understanding about how the business performance can be enhanced, and to analyze output from AI tools that automate certain processes within the company.\nThe Data Scientist will report to the Lead Data Scientist and help us discover the information hidden in vast amounts of data, and help us make smarter decisions. The primary focus of this role will be in applying data engineering and predictive analytics techniques, doing statistical analysis, and building high quality prediction systems integrated with our business model.\nKEY RESPONSIBILITIES\nAssist the Business Insights team with Welltower’s data and analytics strategy and predictive analytics application across Welltower.\nWork on creating predictive models and solutions to consume data for the purpose of analytics.\nSelecting features, building and optimizing classifiers using machine learning techniques\nData mining using state-of-the-art methods\nExtending company’s data with third party sources of information as and when needed\nAnalyzing the output of the predictive analytics model to make meaningful information valuable to Welltower investment process\nEnhancing data collection procedures to include information that is relevant for building analytic systems\nProcessing, cleansing, and verifying the integrity of data used for analysis\nDoing ad-hoc analysis and presenting results in a clear manner\nOTHER DUTIES\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\nTRAVEL\nMinimal travel to other Welltower office locations is possible.\nMINIMUM REQUIREMENTS\nExperience:\n1-3 years of post-education Data Scientist work experience.\nKnowledge of the data and analytics landscape and with at least 3 years of work experience\nStrong technical skills to include a deep understanding of (but not limited to): Reporting, Programming, Predictive Modeling, and Solution Architect.\nExcellent understanding of machine learning techniques and algorithms, such as Neural Networks, etc.\nExperience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least one of these is highly desirable\nExperience with data mining and data visualization tools, such as Alteryx, Tableau etc.\nGood applied statistics skills, such as distributions, correlation, statistical testing, regression, etc\nGood communication skills and data oriented personality\nExcellent verbal and written communication skills with business and technology partners.\nFamiliarity with Real Estate and Healthcare industries systems and specialist in business consolidation in diverse source systems.\nKnowledge of enterprise profitability and business planning and forecasting.\nEducation:\nPhD in Mathematics or Statistics or Economics with a focus on Predictive Analytics solution is required.\nBackground in Computer Science, Information Systems, Engineering, Statistics or related field is required.\nCompetencies:\nQuality of Work\nProductivity\nCommunication and Teamwork\nInitiative and Leadership\nCustomer Focus / Service\nTechnical\nAnalytical\nFinancial Acumen\nMathematical Acumen\nStatistical Knowledge\nMETRICS FOR MEASURING SUCCESS:\nBuild predictive analytics model and improve the accuracy of the result set\nSupport initiatives affecting Welltower’s data and analytics solutions\nWelltower’s data is protected and monitored against misuse and loss, and senior management is regularly assured of this, with no breaches occurring\nEmployment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. \nWHAT WE OFFER\nCompetitive Base Salary + Annual Bonus \nGenerous Paid Time Off and Holidays \nEmployee Stock Purchase Program - purchase shares at a 15% discount \nEmployer-matching 401(k) Program + Profit Sharing Program \nStudent Debt Program - we’ll contribute up to $10,000 towards your student loans! \nTuition Assistance Program \nComprehensive and progressive Medical/Dental/Vision options \nProfessional Growth \nAnd much more! https://welltower.com/newsroom/careers/ \nABOUT WELLTOWER\nWelltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care.\nOur real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture.\nThrough our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors - our North Star.\nWelltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. 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