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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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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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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Working knowledge of one or more analytical software platforms (e.g. SAS, SPSS, R, Alteryx or open source data mining tools such as Python). - Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects.
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The QM Analytics Manager also retains responsibility for the development of program forecasting models and actual and predictive quality program dashboards to ensure provider pay for performance program budgets and QM/Plan quality goals are identified, tracked, and met.
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The ideal candidate has a proven track record developing data-driven analytics solutions and key stakeholder relationships. Identify and execute on opportunities for employing advanced analytics and building complex models to answer business problems such as sessionization of events data, marketing attribution, granular profit modeling, LTV and Churn.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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Preferably 2-3 years experience (Associate Director: 1-2 years experience) with data analytics and visualization and/or predictive modeling and/or insight based project management, development and implementation.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
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Job Title: Actimize SAM - Data Analytics Manager – VP Level. · Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology.
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data quality open predictive analytics jobs in New York, NY
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