| Job title Data Scientist Location Remote Santa Clara CA Duration 6 month at Remote, Remote, USA |
| Email: [email protected] |
| From: Suresh, VYZE INC [email protected] Reply to: [email protected] Hi, hope you are doing great, please go through the below job description and provide me your consultant updated resume with visa and current location. Job title: Data Scientist Location: Remote Duration:6+ month MOI: video MUST HAVE: Strong background in machine learning, data analysis, and programming Qualifications: A Bachelors/Masters/Ph.D. degree in a related field (e.g., Computer Science, Statistics, Data Science). Strong programming skills in languages such as Python, R, or similar languages commonly used in data science. Solid understanding of machine learning algorithms, techniques, and libraries (e.g., scikit- learn, TensorFlow, PyTorch). Proficiency in data manipulation, analysis, and visualization using libraries like pandas, NumPy, and Matplotlib/Seaborn. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus. Familiarity with version control systems (e.g., Git) and collaborative coding practices. Excellent problem-solving skills and the ability to translate business needs into technical solutions. Strong communication skills and the ability to work effectively in a team environment Key Responsibilities: Data Analysis and Pre-processing: Collect, clean, and pre-process data from various sources to create robust datasets for model development. Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data. Feature Engineering: Extract and engineer relevant features from raw data to improve the performance of machine learning models. Model Development: Develop and implement machine learning algorithms and models that solve specific business problems. Select appropriate algorithms and techniques based on the nature of the data and the problem. Model Training and Evaluation: Train and fine-tune machine learning models using appropriate tools and frameworks. Evaluate model performance using appropriate metrics and iterate on models to achieve desired outcomes. Deployment and Integration: Deploy machine learning models into production systems and ensure their seamless integration with existing infrastructure. Monitor and maintain deployed models, making necessary updates as data and business requirements change. Collaboration and Communication: Work closely with cross-functional teams, including software engineers, domain experts, and stakeholders, to understand requirements and deliver solutions. Clearly communicate complex technical concepts and findings to both technical and non-technical audiences. Research and Innovation: Stay up-to-date with the latest advancements in machine learning and data science, and apply innovative techniques to solve challenging problems. Thanks and Regards . Suresh Nayak Technical Recruiter Vyze INC Email: [email protected] 25179 Methley Plum Place, Aldie, VA 20105 www.vyzeinc.com Disclaimer: This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] Keywords: rlang golang Virginia |
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| Thu Aug 24 01:51:00 UTC 2023 |