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There are several prospects for data science professionals in the fast-developing field of data science. For example, there are now 10 data science jobs available in various industries that are looking for skilled data scientists. These data science jobs allow data science specialists to apply their knowledge and talents in real-world circumstances, solving challenging challenges and contributing to their respective organizations' growth and success. A successful profession as a data scientist not only provides a platform to make a significant effect in the market.
Data Science Engineering Manager at Nvidia
Requirements: Hands-on Experience at a non-trivial scale in a highly accessible big data ecosystem. Methods for standing out from the crowd: Management experience in worldwide teams. The firm has an equal-opportunity workplace that values diversity.
Data Scientist at Tata Motors
Requirements: Engineering, MSC, or something equivalent A bachelor's degree in statistics, applied mathematics, computer science, or another technical subject is required. It is preferable to have 4+ years of relevant professional Experience as a data scientist and solving business difficulties. R and Python programming skills are required. Excellent knowledge of statistical analysis, predictive modeling, and data engineering methodologies. To develop supervised, semi-supervised, and unsupervised models, the candidate must have a strong understanding of statistics and machine learning/deep learning.
Data Engineering Application Developer at Accenture
Requirements: Data engineering is required. It is advantageous to be able to collaborate with remote teams and across time zones. Having the ability to raise the bar for quality/efficiency within the team Having Advanced SQL skills Basic knowledge of experimental design, such as A/B tests and statistical methods 5It is advantageous to have prior expertise in deriving insights from data and summarizing learnings/takeaways.
GDC Data Scientist at Fervour Infosystem
Requirements: Data collection and cleansing from numerous entities data mining is the process of collecting useful data from valuable data sources. Selecting features, creating and optimizing classifiers with machine learning tools performing structured and unstructured data preparationImproving data gathering techniques to include all pertinent information for the development of analytical systems data processing, cleansing, and validation to ensure data integrity for analysis analyzing massive amounts of data to discover patterns and solutions making predictions and machine learning algorithms learn presentation of results provide solutions and strategies for dealing with corporate difficulties.
Data Consultant: Data Governance at IBM
Requirements: Based on the customer's needs, we design, create, optimize, and support new and current data models and EL processes. Create, install, and maintain data infrastructure capable of meeting the demands of a fast-expanding data-driven enterprise. Coordination of data access and security to allow data scientists and analysts to quickly access data as needed. Working understanding of Alation, Big Eye, and other cloud-based information governance and analytics applications. Big Eye Information AnalyticsExperience in Alation Information Governance tool Specialist in Data Quality.
Supply Chain Data Analyst at Zf Friedrich
Requirements: Data connection management Data visualization tools include PowerBI, SAP SAC, and BO Analysis. Your Information BE/B-Tech graduate with 5-7 years of total Experience. Experience with SAP BW, supply chain management, project management, and operations is required. 2+ years of Experience developing visualizations with Power BI.
Data Scientist at Vanderlande Careers
Requirements: A Master's degree, and preferably a PhD, in Data Science, Computer Science, Statistics, or a related discipline is required. A minimum of four years of relevant professional Experience as a Data Scientist is required. Candidate must have extensive Experience with event knowledge graphs, process mining, and data analysis for finding process abnormalities, process improvement, and/or process optimization.
Data Scientist at Kavya Staffing Solutions
Requirements: Diploma, B.tech, M.tech, BCA, A master's or doctoral degree in applied mathematics or statistics. Candidates with 0 to 10 years of industry experience may also apply. Data Scientist is a job title in the Department of Work. Work in the IT industry. Experience with data querying languages and statistical or mathematical tools is required. Advanced machine learning and programming courses.
Senior Model Governance Analyst at TransUnion
Requirements: Bachelor's in stats, math, business analytics, or related field. The firm prefers Experience in TransUnion industries like finance and insurance, working with complex data, using R and R Markdown, and Git, and also value model risk management skills or willingness to learn. They require strong analytical skills and accuracy.
Data Scientist at Walmart Global Tech India
Requirements: A master's or doctoral degree in computer science, statistics, or a related discipline, Experience with machine learning, statistical modeling, and data analysis. Programming skills in Python or R. Knowledge of big data technologies such as Hadoop, Spark, or Hive is required. SQL and relational database knowledge.
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