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Data Scientist
Jones Lang LaSalle
Allen, TX, United States
Job Details - this job has expired, please see similar jobs below
Key Responsibilities:
• Consult with clients, partners, and stakeholders. Understand business needs and challenges. Advice on BI/AI strategies applied to Facilities Management, Maintenance, and Real Estate.
• Develop requirements and benefit/cost estimates for BI/AI solutions.
• Deliver high-impact BI solutions including dashboards, visualizations, and extensions.
• Deliver high-quality, action-oriented, compelling recommendations and insights for decision makers based on descriptive, predictive and prescriptive analytics.
• Deliver models and complex data analyses using rigorous statistical methodologies, machine learning algorithms, and AI techniques.
• Collaborate with and provide support to the productizing/operationalization of intelligence.
• Find, collect, explore, validate, and prepare the data for analysis. Responsibilities would include querying, scraping, loading, validating, cleaning, aggregating, transforming, detecting outliers, imputing missing values, developing features, and scripting these processes.
• Develop processes that automate the extraction, preparation, and analysis of data in order to deliver reproducible results and reusable components.
• Thoroughly validate quality of outputs and perform peer review for other team members.
• Manage projects, ongoing requests, and resolve issues in order to ensure delivery on time and according to specifications.
• Research options, methodologies, technologies, and tools required for projects.
• Strive for excellent service delivery and development of both hard and soft-skills.
• Help and coach junior data scientists/analysts in the team.
Required Skills:
• Excellent quantitative, analytical, and problem-solving skills.
• Team player able to collaborate effectively in large cross-functional projects.
• Client orientation, business acumen, and execution skills to drive superior business results.
• Experience using data to answer business questions, find new insights, understand drivers, detect potential issues, and make recommendations to decision makers.
• Experience developing impactful visualizations, dashboards, and reports.
• Knowledgeable about multivariate statistics, statistical modelling, and development of metrics/KPIs.
• Knowledgeable about machine learning algorithms and demonstrated experience implementing classification models, regression models, cluster analysis.
• Demonstrated experience developing processes to extract, load, and transform data from different types of structured and unstructured sources.
• Demonstrated experience developing data-prep processes and feature-engineering pipelines to help feed analytical databases, dashboards, data models, and data analyses.
• Knowledgeable about simulation and optimization models.
• Highly developed written and verbal communication skills.
• Passionate about challenges, quality of work and reputation.
• Ability to excel in an intellectually demanding and challenging environment.
• Ability to multi-task and deliver outstanding results under time pressure.
• Ability to organise time and tasks and communicate risks pro-actively.
• Ability to quickly learn new methods, algorithms, techniques, and tools.
Additional Valuable Skills:
• Experience with agile methodologies applied to BI and analytics development
• Experience delivering near-real time analytics and data streaming processes.
• Experience designing the architecture of analytical processes/solutions in a way that accelerates time to market, maximizes reuse, performs well, and ensures quality.
• Experience with data architecture, data integration/ETL, and data warehouse implementation in a complex environment.
• Experience in Deep Learning models and AI frameworks.
• Experience in Text Analytics, NLP, and Natural Language Generation.
• Experience in Statistical Process Control.
• Experience implementing forecasts accounting for trends, seasonality, and external drivers.
• Experience in Operations Research and optimization models (LP, MILP, NLP, GA.)
• Experience implementing forecasting models that properly account for trends, seasonality patterns, and external drivers.
• Experience with big-data technologies such as Hadoop, Spark, Hive, and similar
• Experience with Longitudinal Data Analysis, Discrete Choice Models, and Survey Analysis
• Experience with design of experiments and statistical measurement to optimize results
• Experience with different types of database technologies (relational, graph, etc.)
• Prior consulting experience is advantageous
Qualifications:
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics or another field of scientific and quantitative nature; Master’s or PhD degree advantageous.
• 5+ years of experience in a data scientist role or performing advanced data science tasks
• Experience analysing data to derive actionable intelligence and drive superior business results
• Experience working with databases including RDBMS such as Microsoft SQL Server and writing complex SQL queries
• Experience working with BI and visualization platforms such as Tableau and Power BI
• Experience programming in R, Python, Spark and other relevant languages for data science
• Experience with statistical software and modelling such as SAS, SPSS, Rapid or similar
• Excellent computer skills including proficiency in MS Excel, Word and Outlook