Job Description: Duties: <ul> <li> Create and maintain a dashboard using Power BI. </li> <li> Collect data from various sources to interpret, identify trends, summarize, illustrate, and succinctly report data findings and recommendations to achieve and maintain operational efficiencies. </li> <li> Help bridge the gap between data and decision-making to assist executives with making strategically guided decisions. </li> <li> Model data using high-level conclusions. </li> <li> Demonstrate the ability to translate data into clear, actionable next steps for internal teams. </li> <li> Serve as a trusted & respected business partner to all levels of the organization. </li> <li> Ensure compliance with all regulatory data sharing and privacy laws and regulations. </li> <li> Collaborate with Data Analyst and other team members as needed. </li> </ul> Qualifications: <ul> <li> Minimum 4 years experience in data analytics. </li> <li> Working knowledge of data engineering principles: understanding how to store, manage, & retrieve large-scale data sets from multiple systems for analysis or operations. </li> <li> Experience working with varied, complex data sets, including statistics, surveys, sales, and operational data. </li> <li> Proficiency in data analysis and visualization tools. </li> <li> Possess a higher level of computer proficiency. </li> <li> Demonstrate advanced proficiency in Microsoft Office, specifically Excel and Power BI. </li> <li> Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive meaningful insights. </li> <li> bility to communicate data insights to both technical and non-technical audiences </li> <li> Knowledge and experience in government operations and utilities preferred. </li> </ul>

Job Description: Pay Range $60hr - $65hr <ul> <li> Excellent knowledge in LLM specifically expertise in open AI skills including GPT 3.5, GPT 4 Experience of developing solutions using AI & Client technology. </li> <li> Proficient with deep learning algorithms especially towards developing computer vision applications. </li> <li> Excellent knowledge of FCN, CNN, DNN and sequential neural network architectures. </li> <li> Strong experience in using both basic and advanced image processing algorithms for feature engineering. </li> <li> Ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to computer vision (e.g. segmentation, detection) or other areas as (speech, NLP, GANs). </li> <li> Knowledge on sensors and vision systems, sensor integration and fusion. </li> <li> Proven expertise in developing and training state-of-the-art algorithms to perform visual recognition tasks, such as segmentation, detection, and classification at scale </li> <li> Proven expertise in Integrating deep neural networks and the associated. preprocessing and postprocessing code to run efficiently on embedded platforms, including different GPU architectures. </li> <li> Profound and proven knowledge in tools and programming languages like TensorFlow, KERAS, Tytorch, Matlab, Python; knowledge in embedded C/C++ is an advantage. </li> <li> Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. </li> <li> Proficiency with edge computing principles and architecture on commonly used popular platforms. </li> <li> Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices. BARD, Cohere, PaLM, and Claude v1 etc will be an added Advantage. </li> </ul>

Job Description: Responsibilities: <ul> <li> Design and develop algorithms and models to use against large datasets to create business insights. </li> <li> Incorporate business knowledge into solution approach by trustful collaboration with internal customers and cross-functional teams. </li> <li> Lead Data Science & Analytics projects & initiatives and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Prepare reports, updates and presentations related to progress made on a project or solution. </li> <li> Effectively communicate insights, recommendations and its impact to both technical and non-technical leaders and business partners. </li> <li> Participate in establishing and continuously improving Magnas data science practice by developing replicable solutions (e.g. codified data products, recipes, project documentation, process flowcharts). </li> <li> Seek further knowledge on key developments within data science, technical skill sets, and additional data sources. </li> <li> Regular travel is not to exceed 15%. </li> <li> 3+ years of practical experience with data science / processing and analytics. </li> <li> Experience in Manufacturing domain: smart manufacturing / smart factory / Industry 4.0 / OEE (overall equipment efficiency). </li> <li> bility to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required. </li> <li> Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making. </li> <li> Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale. </li> <li> dvanced knowledge and engineering skills in (Cloud) big data & database technologies, data management & data pipeline development. </li> <li> Experience with Microsoft Azure stack (Azure Data Warehouse, Databricks, Azure Analysis Services, Power BI) is an advantage. </li> <li> dvanced degree, applicable certification, or equivalent experience in Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field. </li> </ul>

Job Description: Required Qualifications: <ul> <li> Bachelor's or master s degree in Computer Science, Data Science, Computer Engineering, or a related field. </li> <li> At least 5 years of experience in software development and data engineering, with a proven track record in data warehouse management. </li> <li> Advanced skills in JavaScript, and Python, and familiarity with modern programming frameworks and technologies. </li> <li> In-depth knowledge of Snowflake, data lakes, and other data warehousing technologies. </li> <li> Expertise in developing and maintaining RESTful APIs and web service integration. </li> <li> Solid understanding of Docker/Kubernetes for deployment, and databases (Postgres, MySQL). </li> </ul> Preferred Qualifications: <ul> <li> Ability to work autonomously, efficiently, and accurately in a dynamic, fast-paced environment. </li> <li> Excellent problem-solving skills with a keen analytical mindset suitable for tackling complex data challenges. </li> <li> Demonstrated experience in architecting full-stack applications for Business Intelligence (BI) insights in an enterprise environment, emphasizing the integration of front-end analytics platforms with back-end data warehousing and processing technologies to drive data-driven decision-making. </li> </ul>

Data Scientist Cynet Systems Inc Jobs

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Data Scientist Cynet Systems Inc Jobs

Senior Data ScientistApril 30, 2024

Data Scientist With Llm And Deep LearningApril 28, 2024

Data ScientistApril 27, 2024

Data ScientistApril 22, 2024

Data Scientist Remote TelecommuteApril 17, 2024

Data ScientistApril 12, 2024