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Remote Telecom Data Analyst Jobs in Texas (NOW HIRING)

Truvani

eCommerce Data Analyst - REMOTE

Dallas, TX · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Dallas, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Austin, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Canadian Solar

Production Data Analyst

Mesquite, TX · On-site +1

Specialist I, Production Data Analyst Company Overview: Canadian Solar is a global leader in the ... Flexible working hours and potential for remote work depending on the company policy ...

Truvani

eCommerce Data Analyst - REMOTE

Austin, TX · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Lockheed Martin

Data Analyst Prin

Fort Worth, TX · On-site +1

Data Analyst Prin What You Will Be Doing The Data Analyst Prin will support the AERO Finance ... What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive ...

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Data Scientist - Propensity & Segmentation (Must have Current Telecom) - Remote

Data Scientist - Propensity & Segmentation (Must have Current Telecom) - Remote

Lorven Technologies Inc.

Plano, TX • Remote

Other

Posted 15 hours ago

Job description

Our client is looking Lead Data Scientist – Propensity & Segmentation (Telecom) in Remote below is the detailed requirements.


Job Title : Data Scientist – Propensity & Segmentation (Telecom)

Location : Remote

Duration: Long term


Job Description:

  • Bachelor's degree or Masters Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience.
  • You should have at least 5+ years of professional experience as an applied Data Scientist building and deploying supervised and unsupervised machine learning models.
  • Must have Core DS Fundamentals: Deep understanding of traditional ML theory, including class imbalance mitigation, feature selection, probability calibration, and experimental design.
  • Business-Centric Evaluation: Ability to evaluate models beyond standard AUC/ROC, focusing on lift charts, precision-recall curves, tier separation, and financial ROI.
  • Must have Python Ecosystem: Advanced proficiency in Python, specifically utilizing the traditional data science stack (pandas, NumPy, scikit-learn, XGBoost, LightGBM) within notebook and script-based workflows.
  • Telecom Domain specifically navigating telecom, broadband, wireless, or subscription-based data structures (e.g., understanding ARPU, churn cycles).
  • Geospatial Literacy: Practical experience using spatial SQL functions (e.g., BigQuery GIS, PostGIS, H3/S2 spatial indexing) to join and analyze location-based data like lat/long coordinates, wire centers, or census tracts.
  • Advanced Cloud SQL & Tuning: Expert-level SQL proficiency on cloud data warehouses (BigQuery, Snowflake, or Redshift). You must know how to diagnose and fix poorly performing queries, optimize complex window functions, and handle heavy aggregations on tens of millions of rows efficiently.
  • Memory Optimization: Practical experience handling datasets that exceed local memory constraints using batching, sampling, or large-scale data frameworks (e.g., PySpark, Dask, or warehouse-native tools like BigQuery ML/Snowpark).
  • Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.


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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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