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5+ years of experience with deep expertise in the tools and practice of data science, including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.
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Data Scientist : use statistics and machine learning to extract value from data: solving optimization problems, building prediction models, running A/B experiments and more. Create new mechanisms to monitor for quality signals using outputs from analytics, including descriptive analytics, signal detection, natural language processing, machine learning, and time-series analysis.
$23 - $24 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
Part-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Analyzes, designs, develops, implements and maintains data science constructs, algorithms, programs, Statistical / Machine Learning Models, decision support system, Artificial/Augmented Intelligence systems using structured, unstructured, diverse big data sources of from measurement systems, IoT, human observations to provide real life business problem solutions and product features/ enhancements.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior.
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In this key role, you will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence.
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Reporting to the Senior Manager of Applied Machine Learning, the Principal Applied Machine Learning Scientist will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency.
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Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Our team collaborates deeply with partners across analytics, data science, marketing, digital, business teams: our mission is to drive innovation by providing the business, marketing and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Build predictive modeling and machine learning algorithms using Python, R and Jupyter Notebooks. Develop machine learning algorithms using Pandas, SciPy, Matplotlib and Seaborn.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
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Computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. in Artificial Intelligence/Machine Learning (AI/ML.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience Requirement: 2 years of experience as a data scientist, data analyst, market risk analyst, financial analyst or related. Create deep learning models using TensorFlow. Job Title: Data Scientist.
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The responsibilities will include applying bioinformatics methods, statistical and machine learning techniques for drug discovery and basic disease biology investigations, and integrating data from various sources to gain insights into disease mechanisms and potential therapeutic targets.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Must have a strong proficiency in Python, Java, or Groovy for data manipulation, statistical analysis, and machine learning model development. Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
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scientist machine learning jobs in Green Oaks, IL
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