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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. 6+ years of experience in a People Analytics/Data Science role.
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Degree in Data Science, Computer Science, Engineering, or a related field, with a specialization in Artificial Intelligence, Machine Learning, and Analytics. Minimum years’ experience working in the Data Analytics field with preference for experience in Financial Services- Experience with analytical/statistical/ML programming, particularly within Python, R preferred Strong data storytelling skills (written and oral.
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The Commercial Analytics and Data Science Manager will also support upleveling of existing data science and analytics capabilities to the next level. The Commercial Analytics and Data Science Manager will support strategic commercial teams with data driven analysis and recommendations for segmentation, targeting, planning, etc.
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Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.) The Managing Director, Financial Analytics role involves gathering and understanding FP&A business requirements; leading a team of analysts; organizing and leading inter-departmental meetings; leveraging Webster’s data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; creating user-friendly reports and dashboards; and clearly communicating results.
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Minimum 2 years’ experience working in the Data Analytics field with preference for experience in Financial Services- Experience with analytical/statistical/ML programming, particularly within Python, R preferred Strong data storytelling skills (written and oral.
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Wells Fargo is seeking a Principal Quantitative Analytics Specialist to join the Enterprise Data Science group within Data Management and Insights (DMI) team. As Wells Fargo expands Natural Language Process (NLP) and Generative Artificial Intelligence (AI) use cases, Enterprise Data Science is looking for a talented individual to provide technical leadership on all matters related to use case qualification, infrastructure optimization, data science techniques, innovation, and model risk management.
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As an Analytics Engineering Director you will architect complex data solutions across platforms, business intelligence and data science / machine learning use cases. Job Summary:As an Analytics Engineering Director you will work closely with the Analytics Engineering, Data Science, DevOps, QA and Product Management teams to design, build, deploy Data Pipelines, Analytics components, and Applications.
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BCG X is BCG's premier data science and advanced analytics capability with 1000+ data scientists, engineers, and analysts globally. Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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The opportunity: The Data Science Manager, Advanced Analytics will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business.
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These are achieved using a judicious balance of industry-leading data driven decision science and extensive qualitative research/understanding of historical and forecasted consumer, product, and macro trends.
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Data Science Focus: Artificial Intelligence, Generative AI, Large Language Models, Natural Language Processing (NLP), Machine Learning, Conceptual Modeling, Statistical Analysis, Internet of Things (IoT), AI/BOTS.
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Contribute to NLP data science team group effort to stay concurrent with the cutting-edge NLP and Generative AI algorithms, methodologies in the open-source community and vendor solutions.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Staying current on the latest developments in climate science and catastrophe risk modeling.
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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data science jobs Title: analytics
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