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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics. Front-End Development: Construct and maintain user-friendly, responsive web interfaces, dashboards, and data visualization tools for quantitative analysts and traders.
Starting at $200,000 - $650,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Director, Data Scientist on/in the US Businesses Long Term Care Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build models to determine Long Term Care Estimates.
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Familiarity with analytics concepts such as databases, programming, statistical modeling, machine learning, data visualization. Independently work on analytical projects involving large amounts of data, statistical modeling / machine learning.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Bachelor’s degree in computer science, Mathematics, or Statistics a similar technical field of study with a specialization in Data Science, Machine Learning, or Data mining.
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Or, alternatively: Bachelor's degree in Statistics, Computer Science, Mathematics, Machine-Learning or related quantitative field (willing to accept foreign education equivalent) and five (5) years of experience coding and performing predictive modeling using large and complex datasets for the consumer finance or Insurance industry.
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4+ years of related work experience in the field of Data Science & Machine learning. You will be pivotal to the growth of our data science team and instrumental 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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Learn and expand on your skills while delivering to customers - e.g. machine learning, bibliometrics and science policy literature reviews, data visualization techniques.
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Strong proficiency in Python Solid understanding of statistical analysis, machine learning algorithms, and data visualization techniques. The Role This role will be a part of the Data Science team at Ampcontrol and have a Data Scientist as a mentor throughout the entire internship.
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Want to grow your career into data analytics, data science and machine learning. Proficiency in SQL, Python, along with experience with Quicksight, PowerBI, Tableau, Jupyter Notebook or data visualization and exploration tools.
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Experience managing a team of data scientists and machine learning researchers (including career development). Experience with data visualization (preferably Looker.
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Coach the team to leverage data sources at scale (dozens of different data sources, billions of rows), machine learning, observational causal inference, time series forecasting and bias corrections, to design, prototype, implement, evaluate and monitor the next generation of our Movements engine and normalization methodology.
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Expertise in machine learning, data science, data engineering, data visualization, and AI. Champion best practices in data quality, security, ethics, and governance.
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Proficiency with PySpark, Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) Excellent understanding of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
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data science machine learning visualization jobs in New York
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