The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Principal Data Scientist-Network Analytics in Greenwood Village, CO

Role Description

Responsible for leading the development of data-driven solutions to Charter’s Spectrum Mobile Network 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 data ingestion, 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.

• 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 implementation related to Spectrum Mobile Network WiFi and 5G for Network Technology Services.
• Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve or prove out key business cases. 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.
• Develop and provide ongoing support for data dashboards for various project requests and strategic operational initiatives.
• Facilitate ongoing communication with cross-functional team owners of various datasets.
• Clearly document all development work to maintain work product descriptions and establish historical record.
• Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem.
• Responsible for presentation of results with key insights clearly highlighted and explained.
• Provide recommendations for path forward based on key insights.
• Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds.
• Responsible for direct leadership of data science contractor resources.
• Create project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.
• Maintain record of progress and journal of projects worked for historical reference.
• Mentor and train junior team members as well as assist leadership in setting strategic vision.
• Perform other duties as assigned.

Skills & Requirements

• Ability to read, write, speak and understand English
• Expert-level skills and experience with python, SQL, ESRI, Alteryx, Tableau, and/or other data visualization tools
• Advanced-level 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.
• Expert-level logical and analytic skills
• Demonstrated experience developing and maintaining 4G/5G and/or Managed WiFi network performance dashboards.
• Demonstrated experience maintaining and scaling large databases and data lakes
• Broad experience and solid theoretical foundation of the properties of the major families of machine learning models (examples: 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 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.
• Related Work Experience Number of Years
• Data manipulation and statistical modeling as a Scientist, Consultant,
• Architect, or Engineer 10
• SQL/R/SAS Programming 10
• 4G/5G/WiFi network KPI engineering 10
• Experience in the telecommunications industry, or two other consumer-based industries
• Experience with big data: data ingestion, quality control, relationship modeling, regression modeling, anomaly detection, trending and capacity planning
• Operations and engineering functional background, in particular focused on network planning, system performance, capacity planning, release management, incident management, network deployment
• Background with Cable or mobile wireless 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

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

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