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Open nowPosted 399 days ago

DTICI_Lead Data Science engineer_T7 || 2765

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This job: posted 399 days ago

The posting

Senior Data Science Engineer

## Company Overview Company details not specified.

## Job Summary We are looking for a Senior Data Science Engineer for our Advanced Analytics and Big Data Team. The primary purpose of this role is to generate insights for data-driven decision-making in the finance and financial services domain.

## Responsibilities - Utilize Artificial Intelligence (AI) and Machine Learning (ML) techniques to build innovative cognitive AI applications and chatbots. - Conduct full-stack development and product management, focusing on AI conversation voice chatbots, natural language processing (NLP), and deep learning solutions. - Apply statistical data modeling and big data tools to refine and optimize data searching, indexing, and processing methods to acquire meaningful insights. - Source, integrate, and manage data to ensure high-quality, clean, and actionable information for analysis. - Lead cross-functional collaboration with stakeholders, managing projects from inception to execution, ensuring delivery meets objectives, deadlines, and budgets. - Implement advanced AI models and algorithms through design, development, and deployment using cutting-edge technologies.

## Qualifications - Educational Qualification: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or a related field. Graduates from top-rated universities preferred. - Technical Skills: - Strong proficiency in Python and Pyspark. - Experience with machine learning algorithms, including tree-based methods, regression techniques, and deep learning (ANN, CNN, RNN). - Knowledge of big data platforms including Azure, Spark, and Databricks. - Familiarity with data engineering tools, such as MS SQL, SQL, and Oracle. - Soft Skills: - Excellent communication skills to convey complex insights to both technical and non-technical audiences. - Project management skills with the ability to handle multiple projects simultaneously. - Proven problem-solving skills to translate business needs into data science problems.

## Preferred Skills - Experience with generative AI models, conversational chatbots, and cloud deployment. - Understanding of statistical concepts and methodologies, such as hypothesis testing and correlation analysis. - Knowledge of technologies including TensorFlow, Keras, Numpy, and Pytorch. - Familiarity with Snowflake and handling large datasets from diverse sources.

## Experience - 5-10 years of relevant experience focusing on applied AI, ML, and deep learning. - Practical experience in end-to-end model development, deployment, and performance monitoring.

## Environment Typical work setting details not specified, though the role involves collaboration within an international and diverse team.

## Salary Estimated salary range not specified.

## Growth Opportunities Opportunities for career advancement within the company not specified.

## Benefits List of offered benefits not specified.

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