Data Science

JOB DESCRIPTION:

● Performing ad-hoc analysis and developing reproducible analytical approaches to meet business requirements.
● Performing exploratory and targeted data analyses using descriptive statistics and other methods.
● Performing geospatial analyses and creating geospatial visualizations to respond to business requests.
● Presenting results and recommendations to senior management and business users.
● Strategizing, coordinating, detailing, resource planning and defining scope on multiple projects with evolving timelines in various stages of completing.
● Leading collaboration with business leads and GTS to execute all visual design phases from concept and requirements to final hand-off to business unit end-users.
● Conducting and ensuring user acceptance testing with GTS for database and applications prior to production release to include software testing, quality assurance, and solution certification and approval.
● Establishing and promoting our brand standards and best practices and across business units and GTS.
● Detailing and demonstrating solutions by developing wireframes, production documentation, flowcharts, layouts, diagrams, charts, and models.
● Reviewing existing visualizations to assess existing opportunities for improvement within the business and to drive an outstanding User Interface solution.

Skills Required:

● Bachelor’s degree or four or more years of work experience.
● Five or more years of relevant work experience.
● Experience in data science and ML models, preferably in Large Language Models with at least 2 years of experience in this field

Even better if you have one or more of the following:

● Experience with geospatial analytics.
● Basic understanding of wireless and wireline network fundamentals.
● Experience in applying statistical ideas and methods to data sets to answer business problems.
● Experience with visual science / dashboard design principles.
● Experience with Python, Spark, and SQL to manipulate data and draw insights from large data sets.
● Experience with developing insights, presenting, and influencing strategic decisions using data.
● Strong understanding of data science.
● Experience with process, data, and automation work.
● Working knowledge of Data Engineering techniques.
● Proven ability to present complex or technical topics in an engaging way.