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Senior Software Engineer - Data Science
Senior Software Engineer - Data ScienceAbode Techzone LLC • Dallas, TX, United States
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Senior Software Engineer - Data Science

Senior Software Engineer - Data Science

Abode Techzone LLC • Dallas, TX, United States
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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.

    FOLLOW US ON LINKEDIN for latest open jobs

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