Specialized Wireless Engineer IV

RESPONSIBILITIES:
Kforce has a client that is seeking a Specialized Wireless Engineer IV in Greenwood Village, CO.

Summary:
This role is responsible for leading the development of data-driven solutions to Spectrum Mobile Network business problems. You will utilize 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.

Responsibilities:
* Plan and lead the complete analytics lifecycle 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
* 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
* Responsible for direct leadership of data science contractor resources

REQUIREMENTS:
* Expert-level skills and experience with python, SQL, ESRI, Alteryx, Tableau, and/or other data visualization tools
* Demonstrated experience developing and maintaining 4G/5G and/or Managed WiFi network performance dashboards
* Demonstrated experience maintaining and scaling large databases and data lakes
* Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
* Familiarity with modern ML technology and tools to produce model scoring code
* Advanced-level skills with one or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques
* ML 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
* Basic understanding of data architecture, data warehouse and data marts

Preferred:
* Experience in the telecom 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
* Experience with Hadoop, particularly HIVE & Spark
* Operations and engineering functional background-focused on network planning, system performance, capacity planning, release management, incident management, network deployment
* Background with Cable or mobile wireless systems & operations
* Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
* Knowledge of other techniques such as text analysis and text mining
* Familiarity with open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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