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Remote flexibility, common Sr Data Scientist title, and mid-level (5+ years) experience increase applicant density.
Core ML and data skills are transferable, though telecom/communications domain experience is moderately preferred.
Requires explicit 5+ years plus ML modeling and Python/SQL skills but lacks niche certification demands.
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Analyze large volumes of structured and unstructured data to identify trends, patterns, and business insights.
Develop, execute, and validate machine learning models for classification, detection, and prediction tasks.
Collaborate with Engineering and Product Development teams to leverage data for business solutions and propose strategies for industry challenges like spam detection.
Bachelor's degree in Computer Science or Engineering; graduate degree in Math or Data Science preferred.
5+ years of proven experience as a Data Scientist or Data Analyst.
Proficiency in SQL and Python; familiarity with PyTorch is a plus.
Work Experience Required: 5+ years as Data Scientist or Data Analyst.
Experienced individual contributor comfortable working cross-functionally with Engineering and Product teams to apply data science for business impact.
Strong analytical skills combined with business acumen and problem-solving capabilities for real-world industry challenges.
Technically skilled in machine learning techniques, statistics, and programming relevant to model development and data analysis.