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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Understanding of and experience using multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree-based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods.
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Experience using statistical computer languages (R, Python, SQL) to manipulate data. Experience with TensorFlow, Café, PyTorch, Keras, Darknet, OpenCV. Experience using statistical computer languages (R, Python, SQL) to manipulate data.
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As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Exposure or experience in Machine Learning, LLM, AI, GIT, HTML, Java, Python, C Sharp, and Cold Fusion. Knowledge of SQL, ORACLE, AZURE, MicroStrategy, Power BI, Power Apps, Power Automate.
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Popularize and present results to decision makers in a format that is accessible to all through data visualization tools. Applies Group standards for data security, quality and confidentiality throughout their lifecycle and processing.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Summary DCSA's Office of Research and Innovation is looking for a Computer Scientist (Data Scientist/Data Analyst) with specialized experience in: Software engineering, for example, coding in Python or C#; Data collection, data warehousing, and database systems such as SQL; Data analysis, data modeling, and machine learning with AWS/Azure cloud services.
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Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning.
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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.
$100,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge.
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