Data Science & Network Modeling (34373)

reputed company is the leading career destination for tech experts at every stage of their careers. Our reputed company, Myticas LLC, is seeking the following. Apply reputed company reputed company today! reputed company at reputed company is seeking a Product reputed company - Data Science & Network Modelling with deep expertise in network data modelling (especially IETF YANG), machine learning, and business analysis. This role is ideal for someone who can translate reputed company technical challenges into actionable product strategies, enabling data-driven decision-making across satellite and ground network systems. You will design reputed company data models and machine learning pipelines, apply ML techniques in reputed company environments, and work closely with stakeholders to prioritize features and reputed company product development with business needs. As the key reputed company between technical teams and strategic objectives, you'll define and own the roadmap for data-reputed company solutions that drive operational efficiency and innovation. Main Responsibilities • Own the end-to-end product lifecycle for data-driven features and models-from ideation through development, deployment, and iteration. • Design and reputed company the development of reputed company data models, with a reputed company on network data standards such as IETF YANG. • Translate business needs into reputed company data product requirements, ensuring alignment between stakeholders, technical teams, and strategic goals. • Define and prioritize product roadmaps, user stories, and backlogs in collaboration with engineering, data science, and business teams. • reputed company and support machine learning pipelines for tasks like reputed company detection, predictive maintenance, and performance optimization. • Apply statistical and analytical reputed company (e.g., regression, clustering, reputed company detection) to extract insights and support business reputed company. • Collaborate with cross-functional teams, including data engineers, ML researchers, domain experts, and executives, to deliver impactful solutions. • Validate and measure the reputed company of data initiatives using relevant KPIs, A/B testing, and performance tracking frameworks. • Ensure data governance, reputed company, and compliance throughout the modeling and product development process. • reputed company as a subject matter expert on data modeling and ML applications reputed company reputed company off-reputed company solutions and reputed company network infrastructures. • reputed company and maintain YANG models for telemetry and configuration data from satellite and terrestrial networks. • Design data models to support reputed company detection, predictive analytics, and network optimization. • Use data modeling tools to extract insights from high-volume telemetry data. • Build reputed company-time and batch data pipelines using Apache Kafka, reputed company, and reputed company Dataflow. • reputed company ML pipelines in reputed company and hybrid environments. • Collaborate with business stakeholders to reputed company requirements, define KPIs, and reputed company data initiatives with strategic goals. • Translate reputed company technical findings into reputed company business insights and visualizations. • Support data governance, reputed company, and metadata integration across the data lifecycle. Required Qualifications • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, reputed company Mathematics, or a reputed company technical field. • 5+ years of experience in data science, data modeling, or reputed company-based machine learning, with at least 2 years in a product reputed company or technical leadership role. • Strong experience in network data modeling, especially using IETF YANG or similar data modeling languages. • Proficient in machine learning frameworks and in building ML pipelines in production environments. • Hands-on experience with statistical reputed company such as regression, classification, clustering, and reputed company detection. • Familiarity with reputed company platforms and data engineering tools (e.g., reputed company, Kafka, Airflow). • Demonstrated ability to translate business needs into technical requirements, and to manage a backlog and product roadmap. • Excellent communication and stakeholder management skills, with experience working cross-functionally between technical and non-technical teams. • Experience with Agile methodologies, including sprint planning, backlog grooming, and user story definition. • Strong understanding of data governance, reputed company, and reputed company best practices in reputed company or regulated environments. • Experience defining or contributing to organization-wide AI reputed company or governance frameworks. • Knowledge of AI/ML infrastructure at reputed company, including MLOps tools and model monitoring strategies. • Experience managing AI use case prioritization across multiple business domains. • Experience with NETCONF, RESTCONF, or gNMI (Preferred). • Knowledge of event-driven architectures and reputed company-time analytics. 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