Data Scientist (Contract W2) (Must Have Telecom Domain) (Remote)

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We are looking for a highly experienced Data Scientist (DS) who thrives on solving complex problems through cutting-edge machine learning algorithms and advanced statistical techniques. This role requires a deep technical skillset and the ability to design, build, and deploy predictive models to drive business decisions and innovation.

Key Responsibilities:
• Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods.
• Explore additional approaches such as neural networks, support vector machines, and Bayesian methods to address diverse business challenges.
• Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges.
• Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions.
• Engineer features and preprocess data to optimize model performance and interpretability.
• Work with large datasets from diverse sources, ensuring data quality and consistency.
• Perform model evaluation, tuning, and validation using appropriate techniques and metrics.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Mentor and collaborate with team members to share knowledge and best practices.
• Stay current on advancements in data science, tools, and methodologies to bring innovation to the team.

Qualifications:
• Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
• Advanced knowledge of machine learning algorithms, statistical modeling, and data preprocessing techniques.
• Strong foundation in mathematics, statistics, and computer science.
• 4+ years of experience as a data scientist or in a related role.
• Bachelor s or Master s degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in SQL for data extraction and manipulation.
• Demonstrated ability to handle complex datasets and derive actionable insights.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Experience deploying models into production environments is highly desirable.