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Urgent! Senior Software Engineer Data Science Job Opening In Dallas Texas – Now Hiring Abode Techzone LLC

Senior Software Engineer Data Science



Job description

Job Title:

1.

Data Science Engineer & 2.

Lead Engineer - Data Science


Location: Dallas, TX (Hybrid)

Telecom Domain needed.



Data Science Engineer:

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.




Lead Engineer (Data Science):



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








Note: We have different positions with us please follow our Linkedin page as below for latest open positions.

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