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Sr. Data Scientist

JLL – Allen, TX



Science



Salary : $70000 - $80000  / YEAR

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.

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