DataScientist

AmpsTek

4-8 Years

India

Posted 2 months ago
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Job Description

DataScientist

Remote Contract

India

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

Thanks, and Regards

Snehil Mishra

snehil@ ampstek.com

linkedin.com/in/snehil-mishra-1104b2154

Desk-6093602673Extension-125