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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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As the Lead for quantitative credit/behavioral/financial analytics or predictive modeling, you will assess risks and opportunities, as well as lead effective challenge for risk and strategy proposals.
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She/he will work with business SMEs to understand the business needs for data mining and will work with the Data Modeler to design and architect solutions as well as perform knowledge discovery for advanced and predictive analytics.
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Define complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to stakeholders, such as opportunity analyses, clinical trending, operational KPIs, predictive modeling, program evaluation, customer reporting, product development, and ad-hoc analytics.
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Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Domain Expertise: Strong understanding of revenue cycle management in ambulatory and/or post-acute clinical specialties, with the ability to translate industry knowledge into actionable product strategies; SaaS solutions.
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From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.
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Top Skills Needed: Actuarial Analytics (3 - 5 years) Machine Learning (3 - 5 years) Statistical Modeling (3 - 5 years)Technology Tools: Python Jupyter Notebook SnowflakeDaily Duties using Technology Tools: Use Python in Jupyter Notebook for data processing and predictive model development.
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Must have understanding of Data Mining, Machine Learning, Predictive Analytics, Business Intelligence, and/or Data Management. Currently enrolled full-time at an accredited institution studying: Business Analytics, Data Science (or a closely related degree program.
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Use statistical models and predictive analytics to improve the effectiveness of marketing efforts. The Marketing Data Analytics Manager reports to the Vice President of Marketing and Data Analytics, demonstrating proficiency with data analytics tools, databases, and visualization platforms.
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We serve members in all 50 states and the District of Columbia, as well as in Guam, Puerto Rico and Okinawa. We are seeking an Undergraduate Student Intern at our location in San Antonio, Texas. We are federally insured by NCUA and we are an Equal Housing Lender.
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Job Description Required Experience: Actuarial Analytics (3 - 5 years) Machine Learning (3 - 5 years) Statistical Modeling (3 - 5 years) Technologies: Python, Jupyter Notebook, Snowflake Day to Day Duties: - Use Python in Jupyter Notebook to process data and develop predictive models on the daily basis.
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Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, micro services, event-driven IT and predictive analytics. Translates CPS Energy's overall strategic direction & business objectives into aligned enterprise architecture strategies.
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Our projects use the latest MS tech stack, Microservices, CI/CD, Automated Testing, Cloud Architecture and Predictive Analytics/AI/ML. Working experience with Azure (DevOps, Functions, Internet of Things, ARM templates, repositories, and/or pipelines.
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Experience in predictive analytics, programming with data-manipulation tools, and managing search functionality in a retail website environment. Experience in predictive analytics.
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About Fingerprint For Success (F4S) Backed by 20+ years of research, F4S’s revolutionary predictive analytics have achieved over 90% reliability in forecasting personal and team motivations, behaviors, and performance.
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predictive analytics jobs in San Antonio, TX
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