Data Analyst

1 week ago

Greenwood Village, Colorado, United States Saxon Global Full time
Job Summary

The Data Scientist role at Saxon Global involves executing advanced analytics techniques to improve business processes, enhance product personalization, and boost customer retention. This position requires a strong command of statistical techniques and machine learning algorithms, as well as the ability to present findings to diverse audiences.


Key Responsibilities
  • Plan, lead, and execute the 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 sources, 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, and 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 and 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, SciKit-Learn, and Pandas.
  • Knowledge of other relevant techniques, such as text analysis and text mining.
  • Operations-research background, particularly 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.

Required Skills
  • Professional experience with Machine Learning.
  • Education in STEM, applied mathematics, or statistics.
  • Background in math and programming.
  • Strong SQL and ETL experience.
  • Python, Java, or R.
  • Scala is nice to have.
  • Modeling experience: statistical, predictive, regression, ML, etc.
  • Experience with Big Data tools and/or working with large data sets.
  • Any cloud experience (ideally AWS).

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