Wireless Data Scientist

The Data Scientist is responsible for leading the development of data-driven solutions to our client’s 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.MAJOR DUTIES AND RESPONSIBILITIESPlan 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 the 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communicate status and escalate issues as needed.Maintain record of progress and journal of projects worked for historical reference.Mentor and train junior team members as well as assist leadership in setting strategic vision.Perform other duties as assigned.REQUIRED QUALIFICATIONSExpert-level skills and experience with python, SQL, ESRI, Alteryx, Tableau, and/or other data visualization toolsAdvanced-level skills with one or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniquesFamiliarity with modern machine learning technology and tools in order to produce model scoring code.Expert-level logical and analytic skillsDemonstrated experience developing and maintaining 4G/5G and/or Managed WiFi network performance dashboards.Demonstrated experience maintaining and scaling large databases and data lakesBroad 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 conceptsStrong synthesis and presentation skillsAbility to communicate results and recommendations to a wide variety of audiencesBasic understanding of data architecture, data warehouse and data martsDemonstrated ability and desire to continually expand skill set, and learn from and teach othersExtensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming servicesEducationBachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience.PREFERRED QUALIFICATIONSExperience in the telecommunications industry, or two other consumer-based industriesExperience with big data: data ingestion, quality control, relationship modeling, regression modeling, anomaly detection, trending and capacity planningOperations and engineering functional background, in particular focused on network planning, system performance, capacity planning, release management, incident management, network deploymentBackground with Cable or mobile wireless systems and operationsExperience with Hadoop, particularly HIVE and SparkKnowledge of other relevant tools such as SAS, SPSS, Alteryx, LinuxKnowledge of other relevant techniques such as text analysis and text miningFamiliarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop