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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Data Science Expertise: Proven experience in applying data science solutions to marketing problems, particularly in customer segmentation, predictive modeling, and personalized marketing.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Of experience in data science (predictive modeling and analytics) Exp. w/Python & R Exp. w/SQL Exp. w/Data Visualization & A/B testing Preferred Experience Postgres, Databricks, GraphQL Benefits & Perks Performance bonus Stock Options Unlimited Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Do you share a desire to advance scientific knowledge and capitalise on the revolution in data and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio.
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Opportunity exists for candidate to expand into predictive modeling, NLP solutions, and advanced analytics to provide deeper insight into the audit objectives. Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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7+ years of experience in quantitative modeling, risk analytics, data science or related field, with a strong background in credit risk modeling, CECL, and stress testing. Proficiency in programming languages such as R, Python, or SAS, and experience with AI and ML techniques for predictive modeling and data analysis.
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Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau. 3years of Data Analytics, Alteryx Core Certification, SQL Training, Database knowledge. Understanding of Data Integration/ETL tools.
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The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business including Underwriting, Actuarial, and Ceded Re. 1-3 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling.
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Demonstrated expertise in time-series analysis, structural equation modeling, deep learning and predictive analytics, simulation and data visualization. The mission of the Center for Biostatistics and Health Data Science (CBHDS) is to achieve excellence in Virginia Tech’s health- and medically-related research portfolio through fostering collaborations across biostatistics, data science, health analytics, computer science, engineering, bioinformatics, biology, database management and integration, project coordination, clinical practice, health economics, translation and public policy.
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Collaborate with process engineers and modeling engineers to model improved materials and provide data for model validation. Experience with polymer, metal, or ceramic matrix composites modeling experience.
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The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Become proficient in the use of established processes and software applications developed for predictive modeling and analysis to develop data collection plans. Experience in technical topic areas: Applied Numerical Algorithms, estimation theory, nonlinear programming/ optimization, control systems, modeling and simulation, data analysis, radar systems, digital signal processing (DSP), software programming, learning and adaptive systems, machine learning, artificial Intelligence.
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Bachelors degree in Data Science , Mathematics, Statistics, Computer Science, or related field. Partnership : Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
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Minimum 5 years’ experience in data science, with experience in predictive modeling and unsupervised machine learning. Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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predictive modeling science jobs Title: data scientist senior Company: Cgi
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