Principal Telecommunications Data Scientist

Placements24; Kimberley; Hybrid; CAD 150,000 - 210,000; Full time

Benefits offered by this job

Salary bonuses

Medical aid

Life insurance

Retirement plan

Growth opportunities

Job summary

Placements24 in Kimberley, BC, is seeking a Principal Telecommunications Data Scientist to lead advanced analytics and ML initiatives in the telecom space. You will drive data-driven decisions, optimize network performance, and uncover business opportunities using large, diverse datasets.

The role requires a Ph.D. or Master’s in a quantitative field, 8+ years in data science with telecom focus, and expertise in ML, statistical modeling, and cloud-based data platforms.

Qualifications

• PhD or Master's in Data Science, Statistics, CS, Math or related field.
• 8+ years in data science or ML roles with telecom data focus.
• Expertise in statistical modeling, ML techniques and experimental design.
• Proficiency in Python or R and data libraries; strong SQL.
• Experience with big data and cloud platforms (Spark/Hadoop, AWS/Azure/GCP).
• Excellent communication and ability to translate problems into data solutions.

Responsibilities

• Develop and implement ML models for network anomaly detection, predictive maintenance, churn prediction, and service optimization.
• Analyze large datasets from network, usage, and billing sources to identify insights.
• Design and run A/B tests and experiments to evaluate features or strategies.
• Collaborate with engineering, product, and business teams on data-driven solutions.
• Build data pipelines and ensure data quality and accessibility for analysis.
• Communicate findings to technical and non-technical stakeholders.
• Mentor junior data scientists and advance data science practices.
• Stay informed on latest research in data science, ML, and AI.
• Develop dashboards and reports to visualize key metrics.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Education

PhD

Master's degree

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role Our client, a forward-thinking telecommunications company, is seeking a Principal Telecommunications Data Scientist to join their team in Kimberley . This senior role will drive the development and application of advanced data analytics and machine learning models to solve complex business challenges within the telecom sector. You will leverage vast datasets to derive actionable insights, optimize network performance, enhance customer experience, and identify new business opportunities. The ideal candidate possesses a strong background in data science, machine learning, statistical modeling, and a deep understanding of telecommunications operations and data. This position offers a hybrid work arrangement, allowing for a balance of focused individual work and collaborative sessions in our Kimberley office. Make a significant impact by transforming data into strategic advantage.

Key Responsibilities

• Develop and implement sophisticated machine learning models and statistical algorithms for applications such as network anomaly detection, predictive maintenance, customer churn prediction, and service optimization.
• Analyze large, complex datasets from various sources (network performance, customer usage, billing) to identify trends, patterns, and insights.
• Design and execute A/B tests and other experiments to evaluate the impact of new features or strategies.
• Collaborate with engineering, product, and business teams to define data-driven strategies and solutions.
• Build and maintain data pipelines, ensuring data quality and accessibility for analysis.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the advancement of data science best practices within the organization.
• Stay abreast of the latest research and advancements in data science, machine learning, and AI.
• Develop dashboards and reports to visualize key metrics and insights.
• Champion data-driven decision-making across the organization.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in data science or machine learning roles, with a significant focus on telecommunications data.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and extensive experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience working with large databases and data warehousing concepts.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication, presentation, and interpersonal skills.
• Proven ability to translate complex business problems into data science solutions.
• Experience in the telecommunications industry is highly preferred.
• Ability to work effectively in a hybrid environment, based in our Kimberley office.

Benefits

Our client offers a highly competitive salary, performance bonuses, and a comprehensive benefits package including medical aid, life insurance, and a retirement annuity. Significant opportunities for professional growth, training, and conference attendance are provided. This hybrid role offers flexibility while fostering collaboration within our Kimberley office. Join a team that is leveraging cutting-edge data science to revolutionize the telecommunications industry, with ample room for innovation and career advancement.