Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.
Company Name: Spectrum
The goal of our Sales & Competitive Intelligence department is to simplify and unify how executives consume and utilize analytics, putting actionable information in play proactively and diving deep on requested topics to uncover hidden value.
The Lead Data Scientist is responsible for leading the development of data-driven solutions to Charter's business problems. In this role, the ideal candidate 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 development/research/analysis phase.
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 problem.
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.
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.
Required Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Demonstrated mastery skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics
Demonstrated mastery skills with one or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques
Familiarity with modern machine learning technology and tools in order to produce model scoring code.
Demonstrated mastery level logical and analytic skills
Demonstrated 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
Effective 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
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 experience
Required Related Work Experience and Number of Years
7 years experience data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
7 years experience SQL/R/SAS Programming
Preferred Skills/Abilities and Knowledge
Experience in the telecommunications industry, or two other consumer-based industries
Experience with modeling for sales and marketing teams
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 related field
Travel as required