(USA) Senior, Data Analyst - Data Science and AI for Corporate Real Estate

Position Summary...What you'll do...The Corporate Real Estate Product and Technology team leads the delivery of both quantitative and qualitative data analysis related to campus, building, and workplace data. Our team, specializing in company property and technology products, takes the lead in providing detailed analysis of our campuses, buildings, and work environments. We're committed to using sophisticated analytical methods and tools, with a particular focus on AI, to solve business challenges related to our real estate and employee engagement.In this role as a senior data analyst, you'll be managing vast amounts of data related to our corporate buildings and workplace. Your task will be to analyze this data and use advanced research methods to help the organization understand what this data means and how the CRE organization can leverage this understanding to drive business decisions.By exploiting the most advanced algorithms and technologies, you'll play an integral role in facilitating data-driven decision-making. Working hand in hand with our data engineers, you'll help design reference models and build AI pipelines in our extensive data ecosystem. The goal is to seamlessly provide valuable insights to our stakeholders and company leadership.Your work will be leveraged to optimize CRE business operations, transform our practices, and revolutionize the management of our corporate real estate and employee engagement.What you'll do:• Translate business needs to data collection and analysis models where you will develop analytical models, validate, and execute models, scale, and optimize analytical models.• Contribute to the development analytical data strategy and requirements.• Analyze data and deliver insights across various real estate and workplace functions using advanced statistical models and machine learning algorithms in line with business goals.• Lead planning, definition, gathering, assessment, and synthesis of data into extensive analytical datasets to support project objectives.• Utilize data analytics and advanced data science techniques to identify trends, patterns, and inconsistencies in data.• Develop and train machine learning algorithms for current and future applications.• Present actionable recommendations to business partners and influence future strategies based on insights.• Adopt a product-oriented approach to build, scale, and deploy comprehensive data science solutions after successful prototyping.• Participate in data analytics, or in data science project teams as the technical lead.• Foster a customer-centric mindset to deliver high-quality, business-oriented analytic solutions.• Champion innovation in approach, method, practices, process, outcome, or any component of end-to-end problem-solving.• Keep up with latest developments and tools in data science, ML, AI, and corporate real estate operations and occupant experience and share these developments and your perspectives with colleagues.• Collaborate closely with different teams at corporate real estate, data engineering, data science, and leadership within Walmart to develop and deploy ML/AI use cases and solutions for available data.What you'll bring:• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics OR Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience OR PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology with 1 year of relevant experience.• Experience in developing ML algorithms, statistical models, and deploying AI-based solutions at scale.• Strong Experience in Python, PySpark, BigQuery, DataProc Cluster and other machine learning frameworks.• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data.• Experience in cloud platforms, AI platforms, model deployment, LLMOPs and MLOps.• Experience in real estate, workplace, employee experience, and mobile engagement analytics is a plus.Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and two years' experience in an analytics or related field.Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field.Option 3: 4 years' experience in an analytics or related field.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices .‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For information about benefits and eligibility, see One.Walmart .‎The annual salary range for this position is $80,000.00-$155,000.00‎Additional compensation includes annual or quarterly performance bonuses.‎Additional compensation for certain positions may also include:‎‎- Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)Primary Location...2403 Se J St, Bentonville, AR 72716, United States of America