Lead Data Science or Sr. Data Science with Telecom Domain Experience

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Lead Data Science or Sr. Data Science with telecom domain experience Irving, TX (Hybrid Weekly 3 days) Interview Mode:-Phone & Video Requrement No-1 JD Lead Data Science with telecom domain experience Job Summary: Drive telecom data science projects from conception through deployment while leading a multidisciplinary team. Deliver high-quality data-driven solutions focused on telecom network analytics, customer churn, real-time monitoring, and service optimization. Key Responsibilities: • Oversee development, validation, and deployment of data science models solving telecom-specific challenges such as churn, QoS, SINR, and Video on Demand analytics. • Lead data engineering efforts to build scalable data pipelines from telecom wireline/wireless network sources and real-time data streams. • Manage team priorities, resources, and timelines ensuring alignment with telecom business objectives. • Facilitate collaboration across data science, engineering, and telecom domain experts. • Promote best practices in code quality, testing, and model governance within telecom projects. • Communicate project progress and technical findings to stakeholders. Skills and Requirements: • Proven leadership experience in telecom data science or analytics projects. • Strong skills in statistical modeling, ML, data engineering with telecom data expertise. • Proficiency in Python, SQL, and experience with big data platforms (Spark, Hadoop). • Familiarity with telecom domain knowledge: Wireline, Wireless, NQES, churn, real-time data. • Excellent organizational, communication, and leadership skills. • Airflow, Data Proc over GCP, Vertex.AI, BigQuery, Teradata • Understanding H2O is a plus Requrement No-2 JD Sr. Data Science with telecom domain experience \ Job Summary: Build and maintain advanced data science models and analytical tools to generate actionable insights in the telecom sector. Leverage domain knowledge of telecom networks and services to implement scalable data-driven solutions supporting business decisions and product enhancements. Key Responsibilities: - Develop statistical and machine learning models for telecom-specific problems such as churn analysis, network performance (NQES, SINR), and customer behavior analysis around Video on Demand and FWA services. - Prepare, preprocess, and analyze large telecom datasets from wireline and wireless networks, sites, and interfaces. - Collaborate with software engineers to integrate data science outputs into operational telecom systems. - Conduct exploratory data analysis and create visualizations to communicate telecom insights effectively. - Ensure reproducibility, version control, and quality of data science experiments. - Present findings and recommendations to technical and business stakeholders. Skills and Requirements: • Proficiency in Python or R with libraries for data manipulation (Pandas, NumPy), visualization (Matplotlib, Seaborn, Plotly). • Composer, Data Proc over GCP, Vertex.AI, BigQuery, Teradata • Understanding H2O is a plus • Strong foundation in statistics, hypothesis testing, and ML techniques applied to telecom data. • Familiarity with telecom data sources and metrics including churn, SINR, real-time network data, and service usage patterns. • Experience with SQL and NoSQL databases managing telecom data. • Knowledge of cloud-based data platforms and telecom analytics is a plus. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.