Job Directory Senior Data Scientist

Senior Data Scientist
Greenwood Village, CO

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Job Description


The Sr Data Scientist job is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics.


* Plan and lead the execution of the analytics life-cycle, leveraging significant experience in leading this type of work in previous roles
* Survey varied data sources in relational databases, Hadoop, flat files, and external sources for analytic relevance
* Execute the full-scope of advanced analytic techniques
* Perform problem formulation, requirements analysis, and planning
* Responsible for data surveying, profiling, and pre-processing
* Model data management for validation (e.g. holdout, cross-validation)
* Select algorithm and execution
* Responsible for interpretation of results - for both causal inferences and predictive effectiveness
* Synthesize appropriate recommendations for action and changes
* Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution
* Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
* Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
* Perform other duties as required


Skills/Abilities and Knowledge

* Ability to read, write, speak and understand English
* Expert-level skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
* Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
* Expert-level logical and analytic skills
* Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
* Data profiling, distributions, confidence intervals, hypothesis testing
* Holdout for testing, cross-validation
* Data pre-processing, exploratory data analysis using a variety of techniques
* Regression and classification using linear models, GLMs, and tree-based methods
* Interpretation of model results, consideration of causality, treatment of multicollinearity
* Strong synthesis and presentation skills
* Ability to communicate results and recommendations to a wide variety of audiences
* Basic understanding of data architecture, data warehouse and data marts
* Experience in the telecommunications industry, or two other consumer-based industries
* Demonstrated ability and desire to continually expand skill set, and learn from and teach others


Skills/Abilities and Knowledge

* Experience with Teradata: SQL, UDFs, interpreting explain plans, basic performance-tuning, and use of database catalog
* Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
* Background with Cable systems and operations
* Experience with Hadoop, particularly HIVE and Spark
* Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
* Knowledge of other relevant techniques such as text analysis and text mining
* Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop


Master's degree in computer science, mathematics, statistics, operations research or other quantitatively-focus field

Related Work Experience

* 10+ years of Statistical Analysis
* 8+ years of Business Analysis
* 8+ years of SQL/R/SAS Programming
* 2+ years of Database Design or Database Modeling


* Office environment
* Travel as required

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