AmpsTek - Data Scientist - Neural Networks (4-8 yrs)

Role : Data Scientist.

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 :

- 4-8 years of work experience in classification, regression, clustering, association, dimension reduction, natural language processing (NLP), experiments, and optimization.

- 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.

- 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.