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Data Analytics / Data Science Specialist
Location
District of Columbia + 2 moreAll locations: District of Columbia | North Carolina | Texas
Posted
115 days ago
Salary
$95K - $105K / year
Seniority
Senior
Job Description
Data Analytics / Data Science Specialist
Jones Lang LaSalle Americas, Inc.
• Proactively identify, evaluate and share business use cases where advanced analytics, automation, machine learning, or AI can drive significant efficiency and value for JLL and our clients • Manage data projects and pipeline based on business requirement, account impact, data availability, technical feasibility, and resource requirements • Develop proof-of-concept solutions that demonstrate tangible business impact, with a track record of taking experimental approach to production • Execute complete solution delivery from business case development through mockup and impact measurement, prioritizing speed-to-value through agile development and phased implementation approaches • Provide regular updates to management on project progress, pipeline of opportunities, and technical challenges to ensure alignment and support for data science initiatives • Collaborate with business stakeholders to understand problems, define success metrics, and validate solution effectiveness • Navigate JLL's Azure and Databricks environment and technology landscape to identify the most effective tools and approaches for each business challenge, and maintain clear playbook, documentation and cross train for knowledge continuity • Work with IT and platform teams to secure necessary permissions and troubleshoot technical barriers to implementation • Maintain and enhance existing BI infrastructure while building advanced analytical capabilities that address real business needs
Job Requirements
- Bachelor's or master’s degree in data science, Computer Science, Statistics, Mathematics, or related quantitative field
- 4+ years of experience in data analysis, with at least 2+ years specifically in advanced analytics, data science, or machine learning
- Experience with analytics and modeling approaches (regression, classification, clustering, time series, LLM, prompt engineering, etc.)
- Proficiency in Databricks SQL, R and/or Python for statistical modeling and machine learning
- Strong business acumen with ability to translate abstract business challenges into technical requirements and communicate technical results through clear visualizations and business-friendly presentations
- Proven ability to work with cloud-based data platforms and adapt quickly to new technological environments
- Capable of independently researching, evaluating, and implementing the right tools for each business case
- Proper risk and documentation mindset to maintain clear process mapping documentation, playbook and standards, and auditable results for validation
Benefits
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
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