Qureos Mentor

Highbrow LLC

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 Job Description
 
 
 
 
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 Around 10+ years of advanced hands-on experience in data science,
 
 statistical modeling, and analytics using
 
 
 Python and R
 
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 Strong SQL skills
 
 , including complex joins, aggregations, window functions, sorting, and query optimization
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 Proven experience working with large-scale structured and unstructured datasets across flat files, relational databases, cloud platforms, and distributed systems
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 Strong exposure to GCP and Microsoft Azure and cloud-based analytics/data science environments
 
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 Experience with
 
 Spark, Databricks, and large-scale data processing frameworks
 
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 Experience with analytics and data science tools such as
 
 Dataiku and RapidMiner
 
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 Solid understanding of descriptive statistics, hypothesis testing, EDA, and feature analysis
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 Experience in telecom or similarly complex, multi-domain environments preferred
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 Strong knowledge and hands-on experience with supervised and unsupervised machine learning methods, including:
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 o
 
 Linear and logistic regression
 
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 o Decision trees and tree-based methods
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 o Random forest, gradient boosting, and other ensemble techniques
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 o Support Vector Machines
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 o Clustering methods such as k-means, hierarchical clustering, and DBSCAN
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 o Dimensionality reduction techniques such as PCA
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 Experience building predictive and classification models for business use cases such as:
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 o Customer churn prediction
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 o Customer segmentation
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 o Revenue forecasting
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 o Campaign response and propensity modeling
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 o Anomaly and fraud detection
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 o Service performance and network issue prediction
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 o Customer experience and support interaction analytics
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 Experience with time series analysis and forecasting for operational and business trend analysis
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 Experience with feature engineering, model validation, hyperparameter tuning, and model performance evaluation
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 Strong understanding of model evaluation metrics for regression, classification, and clustering use cases
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 Ability to identify the appropriate modeling approach based on business problem, data quality, and operational constraints
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 Experience supporting enterprise data environments spanning multiple business functions
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 Knowledge of telecom KPIs, subscriber behavior, billing data, network performance data, and customer interaction datasets
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 Familiarity with MLOps concepts, model monitoring, and model lifecycle management
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 Experience with dashboarding and data visualization tools to present analytical findings effectively
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 Familiarity with A/B testing, causal inference, and experimentation frameworks is a plus
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 Experience with NLP/text analytics for customer care notes, tickets, surveys, or interaction data is a plus
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 Exposure to recommendation systems, optimization methods, or graph/network analytics is a plus
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 Strong people skills, team orientation, and professional attitude
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 Excellent written and verbal communication skills, with the ability to explain complex technical concepts to business stakeholders
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 Job Responsibilities
 
 
 
 
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 Apply advanced data science and machine learning techniques to large telecom datasets to identify patterns, trends, and opportunities that improve mission and business decisions
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 Partner with stakeholders across marketing, network, IT, billing, customer care, and other business units to understand data challenges and translate them into analytical and modeling solutions
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 Develop, validate, and deploy statistical and machine learning models to support cross-functional operational and strategic initiatives
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 Analyze enterprise data from multiple source systems and domains to uncover actionable insights, business drivers, operational risks, and performance opportunities
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 Build predictive, segmentation, forecasting, and anomaly detection models relevant to enterprise and telecom use cases
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 Perform data mining, exploratory data analysis, feature selection, and model diagnostics on large and complex datasets
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 Work with structured, semi-structured, and distributed data environments using modern cloud and big data platforms
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 Collaborate with data engineers, architects, analysts, and business partners to productionize models and support scalable analytical solutions
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 Communicate findings, modeling approaches, assumptions, and recommendations clearly to both technical and non-technical audiences
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 Contribute to best practices in data science, model governance, documentation, reproducibility, and analytical standards within the IT organization
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Data Scientist

Join Highbrow LLC and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Highbrow LLC

About Company

Data Scientist