Data Scientist Contract Commercial Real Estate Analytics LTM

• 3.7 Richardson, TX Job Details Contract $100,000
• $125,000 a year 1 hour ago Benefits Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Parental leave Vision insurance 401(k) matching Life insurance Qualifications AI models Search engines Cloud analytics services Data Integration (Data management) Azure Predictive modeling analysis Cloud data warehouses Automation Writing skills Classification (ML) AI platforms (beyond public GPTs) Snowflake SQL Demand forecasting analysis Pandas Outlier detection Data integrity process (data warehousing) Query execution time improvement Data-driven problem-solving Time Series Analysis S3 Predictive analytics projects AI-driven automation Query management Research findings presentation Real estate analysis Full Job Description Role description Data Scientist Contract Commercial Real Estate Analytics Location•Richardson TX Onsite

ROLE OVERVIEW

We are looking for Data Scientist to support the Americas Advisory Digital and Technology organization This is a handson high visibility engagement working directly with leadership and business stakeholders across leasing research and market intelligence You will own the full analytical stack from writing SQL to profiling raw lease data to building predictive models and AI powered solutions that surface insight leadership can act on Speed rigor and communication matter as much as technical depth

WHAT YOU WILL DO

Design build and validate predictive models covering lease expiry risk rent trajectory tenant retention probability and market demand signals using structured and unstructured commercial real estate data Write and optimize complex SQL queries across PostgreSQL and Snowflake to support leasing research and market intelligence teams extracting transforming and validating data at scale Analyze datasets covering lease economics property hierarchies market comparables and transaction data to answer businesscritical questions with speed and accuracy Build and deploy AIassisted analytical workflows using large language models including Claude and retrievalaugmented generation RAG patterns over structured and unstructured lease document corpora Work directly with senior leaders and business stakeholders to frame data problems present model findings and translate statistical output into plainlanguage recommendations Investigate data gaps and anomalies at the field level communicate root cause clearly and coordinate with the data platform team on resolution paths Apply rigorous data testing methodology including automated data quality checks dbt SODA Great Expectations to validate analytical outputs before they reach leadership Build and maintain analytical views dashboards and documentation that business teams can trust and act on Identify patterns in data that surface risk opportunity or operational insight and frame those patterns in terms that drive leasing and market strategy decisions

WHAT YOU BRING

Required 4 to 8 years of experience in data science or advanced analytics with meaningful exposure to commercial real estate financial services or similarly complex transactional data environments Expertlevel SQL in both PostgreSQL and Snowflake including query optimization window functions and complex multitable joins across large datasets Proficiency in Python for data manipulation statistical modeling and automation pandas scikitlearn and similar libraries used in practice not just on a resume Handson experience building and evaluating predictive models regression classification timeseries forecasting and anomaly detection applied to real business problems Working knowledge of ETL and CDC concepts understanding how data flows from source systems into a cloud data warehouse and how to trace data quality issues upstream Handson experience with AWS or another major cloud platform Azure GCP including cloudhosted data infrastructure S3 and managed compute services Proven ability to work directly with senior leaders presenting findings with confidence educating stakeholders on methodology and fielding hard questions under pressure Proficiency with AI tools including Claude to accelerate analysis automate repetitive tasks and improve turnaround on data requests Strong written and verbal communication skills the ability to make model output and statistical findings accessible to nontechnical audiences without dumbing them down High sense of urgency able to hit the ground running with minimal rampup and deliver from day one Preferred Experience with large language model LLM integrations prompt engineering or RAG pipelines applied to documentheavy analytical workflows Familiarity with commercial real estate concepts including lease structures rent schedules break clauses market comparables and transaction economics Experience with BI tools such as Sigma Computing Tableau or Power BI for presenting model outputs and analytical dashboards Familiarity with data testing frameworks dbt tests Great Expectations or SODA and a habit of building validation into the analytical process not bolting it on afterward Background supporting advisory research or transaction services teams within a CRE or financial services organization Exposure to vector databases embedding models or semantic search applied to document retrieval

WHAT SUCCESS LOOKS LIKE

Leadership gets accurate wellframed answers to data questions within hours not days backed by model output or validated SQL not gut feel Predictive models surface actionable signals leases at expiry risk tenants likely to churn mar

Skills Mandatory Skills :

ETL Concepts, PostgreSQL, Python for DATA, Snowflake-Data Science Other details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer :

The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits Compensation range:

$100,000.00 to $125,000.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert

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ltimindtree.com/recruitment-fraud-alert/