What are the responsibilities and job description for the Data Scientist position at Cognizant North America?
Job Summary
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.
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.
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.
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
