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About the role
As a Data Scientist at AGDATA, you will have the opportunity to solve deep technical problems, build innovative solutions, and work with a team of top-notch developers. You must possess strong analytical, design, and problem-solving skills, and be able to view the big picture from both business and technology perspectives. You thrive in dealing with ambiguity and challenging tasks. Key Responsibilities: - Design and develop scalable solutions and models - Conduct research and testing to develop algorithms and predictive models - Identify trends, patterns, and anomalies in big data sets through extensive data analysis - Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases - Develop processes to store model outputs in an SQL database and ensure seamless integration with reporting systems - Interpret results from various structured and unstructured data sources using programming, statistical, and analytical techniques and tools - Collaborate with teams to understand the purpose, focus, and objectives of data analysis projects - Implement valuable data-driven solutions for the organization, integrating, testing, tuning, and monitoring solutions - Mentor and train engineers on AI/ML tools - Build processes for AI/ML projects - Participate in proof of concepts (POCs) and tool selection - Collaborate on code bases in Git/ADO Qualifications Required: - Master's degree in computer science, mathematics, engineering, or equivalent - 8+ years of experience in Data Science - Proficiency in AI & Machine Learning Tools such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Scikit-Learn, TensorFlow, PyTorch, Keras, H2O - Proficiency in programming languages like Python, R, Julia, SQL - Proficiency in data tools including Pandas, dplyr, ggplot2, Tidyverse, data table - Familiarity with Cloud & DevOps platforms like AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, Terraform, Pulumi, CloudFormation - Experience with databases such as PostgreSQL, MySQL, MariaDB, NoSQL - Additional skills in API Development, Data Cleaning & Transformation, Neural Networks, NLP, Computer Vision, Predictive Modeling, IoT, Blockchain, Quantum Computing Join AGDATA and be part of a team where you can apply your technical expertise, collaborate with talented individuals, and tackle challenging projects in the field of Data Science. As a Data Scientist at AGDATA, you will have the opportunity to solve deep technical problems, build innovative solutions, and work with a team of top-notch developers. You must possess strong analytical, design, and problem-solving skills, and be able to view the big picture from both business and technology perspectives. You thrive in dealing with ambiguity and challenging tasks. Key Responsibilities: - Design and develop scalable solutions and models - Conduct research and testing to develop algorithms and predictive models - Identify trends, patterns, and anomalies in big data sets through extensive data analysis - Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases - Develop processes to store model outputs in an SQL database and ensure seamless integration with reporting systems - Interpret results from various structured and unstructured data sources using programming, statistical, and analytical techniques and tools - Collaborate with teams to understand the purpose, focus, and objectives of data analysis projects - Implement valuable data-driven solutions for the organization, integrating, testing, tuning, and monitoring solutions - Mentor and train engineers on AI/ML tools - Build processes for AI/ML projects - Participate in proof of concepts (POCs) and tool selection - Collaborate on code bases in Git/ADO Qualifications Required: - Master's degree in computer science, mathematics, engineering, or equivalent - 8+ years of experience in Data Science - Proficiency in AI & Machine Learning Tools such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Scikit-Learn, TensorFlow, PyTorch, Keras, H2O - Proficiency in programming languages like Python, R, Julia, SQL - Proficiency in data tools including Pandas, dplyr, ggplot2, Tidyverse, data table - Familiarity with Cloud & DevOps platforms like AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, Terraform, Pulumi, CloudFormation - Experience with databases such as PostgreSQL, MySQL, MariaDB, NoSQL - Additional skills in API Development, Data Cleaning & Transformation, Neural Networks, NLP, Computer Vision, Predictive Modeling, IoT, Blockchain, Quantum Computing Join AGDATA and be part of a team where you can apply your technical expertise, collaborate with talented individuals, and tackle challenging projects in the field of Data Science.