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Two (2) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligence.
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These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning and batch/real-time data processing. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
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Familiarity with machine learning frameworks (e.g. Scikit-learn, Tensorflow), developing and deploying machine learning models. PhD in bioinformatics, computational biology, statistics, data science, computer science, or a related field, or equivalent practical experience.
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Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
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4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
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About the Job The candidate will work closely with HPC engineers to build reusable components for generating real-time insights and analytics for HPC simulationsThe candidate will also assist in Research & Development for our next generation machine learning products in Network SimulationsThe candidate is expected to have experience working with data pipelines and ML frameworks.
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2 years of relevant work experience with a Master's degree in Computer Science, Computer Engineering, Data Science, Machine Learning, Mathematics, Statistics, or a related field, graduating January 2024 - August 2025.
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Generate insights from data sets using machine learning and statistical techniques. Responsibilities: Gather, organize and analyze data from various sources. Collaborate closely with and lead cross-functional teams to complete data projects.
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Experience with machine learning algorithms and predictive modeling. · Identify errors in a detailed level and use them as learning opportunities to enhanced operations. The Operations Data Analyst reports to the Business Analytics Manager.
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Technical background in AI and machine learning, including. Deep knowledge of AI/ML tools and models, data architecture principles, cloud computing and big data. Experience with AI and data architecture and management.
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Educate our business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning) Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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We seek an experienced full-stack data scientist to develop machine learning models that drive strategic decision-making and optimize revenue. Strong statistical and machine learning expertise, focusing on time series forecasting using classical models and deep learning approaches.
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Knowledge of machine learning and inference, including data mining. Practice Extreme Ownership - including exhibiting a bias for action, a deep desire to understand all parts of our business, including our customers, and partners; taking risks, adapting and learning till you succeed; a mindset to persevere.
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machine learning jobs Title: data in Miami, DC, Australia
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