| Remote opening for Data Scientist Machine Learning Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Hitakshi, TestingXperts [email protected] Reply to: [email protected] Job Title: Data Scientist/Machine Learning Engineer Remote position Only USC Duration-Long term Overview: We are seeking a highly skilled and experienced individual to join our team as a Data Scientist/Machine Learning Engineer. In this role, you will be responsible for leveraging advanced analytics and machine learning techniques to derive insights, build predictive models, and develop scalable solutions to complex business problems. Responsibilities: Data Analysis and Exploration: Clean, preprocess, and analyze large datasets to uncover hidden patterns and trends. Conduct exploratory data analysis to understand the underlying structure of the data. Feature Engineering: Identify and engineer relevant features from raw data to improve model performance. Utilize domain knowledge to create meaningful features that capture important aspects of the problem domain. Model Development: Design, implement, and validate machine learning algorithms and models. Experiment with various modeling techniques, such as regression, classification, clustering, and deep learning. Model Evaluation and Optimization: Evaluate model performance using appropriate metrics and techniques (e.g., cross-validation, ROC curves). Fine-tune models to improve performance, scalability, and interpretability. Deployment and Integration: Deploy machine learning models into production environments. Collaborate with software engineers to integrate models into existing systems and workflows. Monitoring and Maintenance: Establish monitoring mechanisms to track model performance and detect drift. Perform regular maintenance and updates to ensure models remain accurate and relevant. Communication and Collaboration: Communicate findings and insights to stakeholders through clear and compelling visualizations and presentations. Collaborate with cross-functional teams, including data engineers, domain experts, and business analysts. Qualifications: Bachelors/Masters/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience in data science, machine learning, and/or predictive modeling. Proficiency in programming languages such as Python, R, or Scala. Strong knowledge of machine learning algorithms and techniques (e.g., regression, decision trees, neural networks). Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Additional Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform). Understanding of software development principles and practices. Domain expertise in specific industries (e.g., healthcare, finance, e-commerce). Benefits: Competitive salary and benefits package. Opportunities for professional growth and career advancement. Dynamic and collaborative work environment. Cutting-edge projects and technologies. This is a generalized description, and specific job postings may vary depending on the organization's needs, industry, and technical stack. Keywords: rlang Remote opening for Data Scientist Machine Learning Engineer [email protected] |
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| Wed May 15 06:54:00 UTC 2024 |