Data Scientist

Analyze large and complex wireless telecommunications datasets to identify trends, anomalies, optimization opportunities, and business value drivers. Strong understanding of wireless network architecture, RAN, mobility data, network KPIs, customer experience metrics, and operational processes.

Location: Basking Ridge, NJ

- Mid-Level: 1

- Senior-Level: 1

Key Responsibilities:

• Analyze large and complex wireless telecommunications datasets to identify trends, anomalies, optimization opportunities, and business value drivers.
• Proactively Client new AI and machine learning use cases through data exploration rather than relying solely on predefined requirements.
• Act as the primary liaison between business stakeholders, AI engineering teams, data scientists, and technical organizations.
• Translate business challenges into data-driven opportunities and AI solution recommendations.
• Guide AI engineers on data quality, feature engineering opportunities, business context, and potential model applications.
• Evaluate network, customer, operational, and performance data to identify opportunities for automation, prediction, optimization, and intelligence.
• Develop data-driven strategies that support network operations, customer experience improvement, and operational efficiency initiatives.
• Collaborate with cross-functional teams to define data requirements, success metrics, and AI/analytics roadmaps.
• Present findings, recommendations, and strategic insights to senior leadership and business stakeholders.
• Create executive-level dashboards, reports, and visualizations that communicate complex analytical findings in a clear and actionable manner.
• Assess data sources and determine their applicability for predictive analytics, machine learning, and GenAI initiatives.
• Drive continuous innovation by identifying emerging data opportunities within the mobile network ecosystem.
• Support prioritization of AI initiatives based on business impact, feasibility, and available data assets.
• Establish best practices for telecom data analysis, insight generation, and AI enablement.

Qualifications:

• 10+ years of experience in data analytics within the telecommunications or wireless industry.
• Strong understanding of wireless network architecture, RAN, mobility data, network KPIs, customer experience metrics, and operational processes.
• Proven experience translating business problems into data-driven recommendations and analytics strategies.
• Advanced experience with SQL and large-scale data analysis platforms.
• Experience working with AI/ML, advanced analytics, or data science teams.
• Strong stakeholder management and executive communication skills.
• Demonstrated ability to work independently and provide strategic direction without detailed requirements.
• Experience delivering executive presentations and influencing decision-making through analytics.
• Experience with AI, Machine Learning, GenAI, or Agentic AI initiatives.
• Knowledge of network performance analytics, customer experience analytics, and operational intelligence platforms.
• Experience working directly with Tier-1 wireless operators such as Telecommunication, AT&T, Telecommunication, or major telecom vendors.