Data Analyst

3 weeks ago


Greenwood Village, Colorado, United States Saxon Global Full time
Data Scientist Job Description

Saxon Global is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for executing advanced analytic techniques to improve business processes, enhance product personalization, and improve customer retention through discovery of causal relationships, predictive analysis, and recommender systems.

Key Responsibilities:
  • Plan, lead, and execute the complete analytics life-cycle for problem solving, including requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.
  • Survey varied data sources for analytic relevance, including stream source, distributed file systems, relational databases, flat files, and external sources.
  • Interpret, synthesize, and communicate results of analyses to effect action and changes within the organization.
  • Collaborate across teams to integrate analytic products with existing production architectures, develop, execute, and evaluate courses of action, and socialize results.
  • 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.

Requirements:
  • Ability to read, write, speak, and understand English.
  • Strong communication and presentation skills.
  • Expert-level skills and experience with Python, R, Matlab, or other analytics languages.
  • Experience with relational and NoSQL databases.
  • Expert-level quantitative analysis skills, including interpretation of model results, consideration of causality, treatment of multicollinearity.
  • Broad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, NLP, and Graph/Network Analytics.
  • Data pre-processing, exploratory data analysis using a variety of techniques.
  • Basic understanding of data architecture, data warehouse, and data marts.
  • Experience in the telecommunications industry or other consumer-based industries.
  • Demonstrated ability and desire to continually expand skill set and learn from and teach others.

Preferred Qualifications:
  • Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphX.
  • Experience with Linux-based operating systems.
  • Experience with advanced analytics libraries in Python, such as numpy, sci-kit learn, and pandas.
  • Knowledge of other relevant techniques, such as text analysis and text mining.
  • Operations-research background, in particular focused on large labor operations, such as field ops, technical support, and sales.

Education:
Advanced degree in computer science, mathematics, statistics, physics, operations research, or other quantitatively-focused fields.

Related Experience:
PhD 3+ years, Masters 6+ years, Bachelors 8+ years.
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