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Job Overview
This role leads the application of machine learning techniques and statistical methods to address complex business challenges effectively. It involves collaborating with diverse technical and non-technical stakeholders to deliver data-driven solutions. The role requires expertise across the entire machine learning lifecycle, including problem framing, data collection, model development, deployment, and performance evaluation. Success is measured by the ability to create actionable insights and deploy models that drive informed decision-making and business value. The work impacts organizational outcomes by transforming data into strategic assets that support business objectives and customer needs.
Job Responsibilities:
Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making
Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
Collaborate with engineering teams to implement and enhance machine learning pipelines and production-ready models
Communicate key information and insights to business leaders through verbal, written, and data visualization methods
Also responsible for other duties/projects as assigned by business management as needed
Education and Work Experience:
Bachelor’s Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
4-7 years Experience with data scripting languages (e.g., SQL, Python, R) (Required)
2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
4-7 years Experience in data visualization (Required)
4-7 years Experience working with relational database using SQL (Required)
2-4 years Experience in the telecom industry (Preferred)
Knowledge, Skills and Abilities:
Mathematics Calculus, linear algebra, statistics, and probability (Required)
Programming Expertise in Python and SQL (Required)
Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)
At least 18 years of age
Legally authorized to work in the United States
At least 18 years of age
Legally authorized to work in the United States
Travel:Travel Required (Yes/No): NoDOT Regulated:DOT Regulated Position (Yes/No): NoSafety Sensitive Position (Yes/No): No
Base Pay Range: $106,000 – $191,100
