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Demonstrated proficiency in predictive modeling, data mining and data analysis. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
RemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Prior experience in data science, database management, big data analytics, statistics, dose-response and trend modeling is required. Typical job requirements will include developing and refining analytic and data visualization tools and automated process workflows; perform big data analytics, including, but not limited to, descriptive statistics, trend modeling, dose-response modeling, statistical analyses, and predictive algorithm development; and curate and expand existing data requirements.
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Additionally, the successful candidate will research and explore novel approaches to complex challenges and help design, develop, and deploy innovative solutions that use the spectrum of data science fields of study, including natural language processing, machine learning and AI technology.
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Requirements: 3+ years as a direct people manager in Data Science or Machine Learning Engineering, 5+ years of industry experience in Data Science, Business Analytics, or Data Analysis, coding experience in Python and knowledge of SQL Databases and data processing frameworks, Bachelors Degree in a quantitative field.
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Coach data science teams on evaluating and selecting appropriate modeling methodologies to optimize performance and adoption. At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry.
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Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
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Experience applying analytical surface science techniques (e.g., RAIRS, XPS, AES, or ToF-SIMS). Experience with theory and modeling of surface chemical reaction mechanisms and kinetics.
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Hands-on experience with customer segmentation, predictive modeling, data mining and customer journey analysis. Oversee the design and implementation of advanced analytical models and algorithms to extract valuable insights from large volumes of customer data, such as segmentation, predictive modeling, customer lifetime value analysis and churn prediction.
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8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field. 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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A PhD Degree no later than the job start date in Computer Science, Human-Computer Interaction (HCI), Statistics, Data Science, Business Analytics, Information Systems Management, Marketing, Economics, or a closely related field.
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You will be instrumental in leading strategic direction for ML, NLP, LLM, algorithm development in a world class AI ML team while working alongside well-known experts and researchers in AI ML modeling, ML engineers and data science and data engineering teams.
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Bachelor's Degree in operations research, computer science, engineering, business, mathematics, information systems, management science, aviation, aeronautical, or air traffic management/science; advanced degrees may be substituted for some experience.
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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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Areas of focus span a broad spectrum from data analysis and fusion, artificial intelligence and machine learning, signal processing, multi-variable optimization, mission planning and tactical decision aids.
$100,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
modeling data science jobs
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