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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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A University/Bachelor's Degree, STEM, Economics, Data Science or Analytics preferred. 10-12+ years of experience in analytics, data science, and development of complex pricing models.
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Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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By increasing organizational trust in analytical recommendations and the supporting data, you will influence senior leaders to embrace data-driven decision making and drive impactful outcomes.
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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Hands-on experience with SQL, R, and PythonExperience with Hadoop, Spark, and AWS computing preferred Responsibilities Marketing Science Internship You will learn how to work with production code bases and translate data into visualization models that will be used on actual client projects.
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Integrating innovative approaches in individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
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Enhancing data handling, data hygiene, data cleaning and data modeling methods to connect structured and unstructured data using Python, R, Power Platform, SharePoint and Excel to uncover market performance improvement opportunities.
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For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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DescriptionProvidence is calling a Senior Data Scientist who will work remotely within our footprint states, AK, CA, OR, WA, TX, NM, or MT.The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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Minimum Requirements: Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related analytical field of study and 3 years of experience as a Data Scientist or AI Engineer working in the industrial automation or automotive industry.
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Therefore, relevant fields of research include, but are not limited to, mucosal immunology, microbiology, developmental or epithelial biology, computational biology, genomics, epidemiology, and data science.
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data science jobs Title: senior data engineer Company: Allscripts
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