Lead Data Scientist
Location: Commerce City
Posted on: February 14, 2021
Responsible for leading the development of data-driven solutions to
Charter's business problems. Utilizes analytical, statistical, and
programming skills to clean, aggregate, and analyze large data sets
and interpret results. This position requires a strong command of
statistical techniques and machine learning algorithms, as well as
a demonstrated practical ability to determine where to invest time,
synthesize actionable findings across diverse assignments, and
present findings to audiences with diverse agendas and varying
levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and
enhance the customer experience
Plan and lead the complete analytics life-cycle for problem
solving, including: requirements gathering, problem formulation,
data grooming, data exploration, model prototyping, model
validation, and algorithm productionalization.
Leverage knowledge in analytical and statistical algorithms to help
stakeholders explore methods to improve their business. Utilize
experience and feedback to recommend options during the
Lead large-scale exploratory data analyses for new data sources or
new uses for existing data sources. Establish links across existing
data sources and find new, interesting data correlations.
Plan effectively to ensure analytics products are flexible,
modular, and contain reusable code base.
Exercise thought leadership and discretion in tailoring the tools,
approaches, and data used to meet the needs of the particular
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
Create project plans to help team achieve defined project goals
within deadlines; proactively communicate status and escalate
issues as needed.
Mentor and train junior team members as well as assist leadership
in setting strategic vision.
Perform other duties as assigned.
Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Expert-level skills and experience with analysis language such as R
and/or Python (including relevant packages) in support of advanced
Advanced-level skills with one or more scripting, analysis, or ETL
languages and ability to rapidly learn new languages or
Familiarity with modern machine learning technology and tools in
order to produce model scoring code.
Expert-level logical and analytic skills
Broad experience and solid theoretical foundation of the properties
of the major families of machine learning models (regression,
decision trees, clustering, SVMs, neural networks).
Command of advanced mathematical concepts including calculus, PDEs,
probability, and statistics, and the ability to independently learn
any necessary additional concepts
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
Demonstrated ability and desire to continually expand skill set,
and learn from and teach others
Extensive experience with large data sets and the tools to obtain,
transform, and store data on Big Data and streaming services
Bachelor's degree in computer science, statistics, operations
research and/or equivalent combination of education and
Related Work Experience
Data manipulation and statistical modeling as a Scientist,
7 years of Architect, DBA, or Engineer
7 years of SQL/R/SAS Programming
Skills/Abilities and Knowledge
Experience in the telecommunications industry, or two other
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
Background with Cable systems and operations
Experience with Hadoop, particularly HIVE and Spark
Knowledge of other relevant tools such as SAS, SPSS, Alteryx,
Knowledge of other relevant techniques such as text analysis and
Familiarity with the open-source ecosystems surrounding R (CRAN),
Python (PyPi), and/or Hadoop
Master's Degree in related field
Travel as required
Salaries depend on geography, experience, and education;
negotiations begin at $80900
For more information on Spectrum's benefits, please click .
Keywords: SPECTRUM, Commerce City , Lead Data Scientist, Other , Commerce City, Colorado
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