Principal Data Scientist I

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.
• Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base.
• Identify future technical needs of assigned projects to continue to grow capabilities of organization.
• Coordinate technical activities across projects and the organization
• Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction. Utilize experience to anticipate hurdles & recommend solutions in line with business needs.
• Create and drive project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.
• 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.
• Responsible for interpretation of results – for both causal inferences and predictive sensitivity and specificity
• Synthesize appropriate recommendations for action and changes
• Teach techniques and explain 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. Lead teams to select, implement, and integrate new technologies into the team’s work process.
• Deliver results using metrics-driven analysis, and communicating the costs and tradeoffs of ideas to stakeholders and top management
• Lead and integrate the work of others to produce high quality work products.
• Mentor and train junior team members and set strategic vision for assigned projects.

REQUIRED QUALIFICATIONS

Skills/Abilities and Knowledge

Ability to read, write, speak and understand English

Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others’ code, and ability to rapidly learn new languages or techniques

Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics

Broad experience and solid theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks).

Experience with modern machine learning technology and tools in order to produce model scoring code.

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 including executive leadership

Understanding of data architecture, data warehouse and data marts

Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.

Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services

Program, product, or project management experience delivering analytics results

Strong background in Linux/Unix/CentOS or Windows installation and administration

Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues

Pattern recognition and predictive modeling skills

Keen attention to detail with the ability to effectively prioritize and execute multiple tasks.

Education

• Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience.
• Related Work Experience
• 8 years Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
• 8 years SQL/R/SAS Programming
• 3 plus years Lead the design, develop and deployment machine learning and analytics models

PREFERRED QUALIFICATIONS

• Skills/Abilities and Knowledge
• Experience with Hadoop, HIVE, SPARK, and/or Snowflake
• Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
• 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
• Background with cable and/ or telecommunications

Education

Master’s degree in related field

WORKING CONDITIONS

Office environment

Charter Technical Engineering Center

Highly collaborative and innovative work space

Occasional Travel