Data Scientist

Location: Basking Ridge, NJ
- Mid-Level: 1

• 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.

• 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.