| Data Scientist API Consultant, Jersey City, NJ (Hybrid Onsite) at Remote, Remote, USA |
| Email: [email protected] |
| From: abhishek, StellentIT [email protected] Reply to: [email protected] Data Scientist API Consultant, Jersey City, NJ 12+ Months Phone + Skype We are seeking a skilled AI/ML, Data Science, and API Integration Engineer/Scientist to join our team and contribute to the development and implementation of advanced artificial intelligence, machine learning, data science solutions, and API integrations. As a versatile professional, you will work on diverse projects involving data analysis, model development, algorithm optimization, and API integration. Your primary responsibility will be to leverage AI/ML, data science techniques, and APIs to solve complex business problems, extract actionable insights from data, and drive innovation. Responsibilities: Develop and implement machine learning algorithms, statistical models, and data science solutions to analyze large and complex datasets. Conduct exploratory data analysis and preprocessing to extract meaningful insights, patterns, and correlations. Collaborate with cross-functional teams to define project requirements, identify AI/ML, data science, and API integration opportunities, and formulate problem statements. Apply statistical analysis, data mining, and predictive modeling techniques to uncover trends, make predictions, and generate actionable recommendations. Design, train, and evaluate machine learning models and statistical models using appropriate algorithms and frameworks. Optimize and fine-tune models to improve performance, accuracy, and efficiency. Work with software engineers to integrate AI/ML, data science models, and APIs into production systems and ensure scalability, reliability, and seamless data flow. Develop and maintain API integrations with external services, platforms, and data sources, ensuring proper authentication, data exchange, and error handling. Stay updated with the latest advancements in AI/ML, data science research, API technologies, and propose innovative solutions. Communicate findings, insights, and results to stakeholders in a clear and concise manner through visualizations, reports, and presentations. Collaborate with data engineers to acquire, clean, and preprocess data for analysis, modeling, and API integration. Monitor and evaluate the performance of deployed AI/ML, data science models, and API integrations, and recommend improvements as needed. Ensure compliance with data privacy and security regulations in all AI/ML, data science, and API integration projects. Requirements: Bachelor's/Master's/Ph.D. degree in Computer Science, Data Science, Statistics, or a related field. Strong proficiency in programming languages such as Python and R. Solid understanding of machine learning algorithms, statistical modeling techniques, data mining concepts, and API integration. Experience with AI/ML frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Keras. Proficiency in data preprocessing, feature selection, dimensionality reduction, and feature engineering techniques. Knowledge of deep learning architectures, natural language processing (NLP), computer vision, and API technologies (REST, GraphQL, etc.). Familiarity with cloud platforms and distributed computing frameworks. Strong analytical and problem-solving skills, with the ability to work on complex and ambiguous business problems. Excellent communication and presentation skills to effectively convey technical concepts to both technical and non-technical stakeholders. Experience with big data technologies and tools, such as Hadoop, Spark, or SQL, is a plus. Familiarity with software development practices, version control systems, agile methodologies, and API documentation. Strong attention to detail and the ability to work both independently and collaboratively in a team-oriented environment. Experience in Analytics tool like Knime Keywords: artificial intelligence machine learning rlang New Jersey |
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| Wed Jul 26 23:20:00 UTC 2023 |