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Requirements EDUCATION Bachelor’s degree in Math, Science, Statistics, Economics, Finance, Informatics, Computer Science, Information Systems, Health Information, Epidemiology, Data Analytics, Data Science, Predictive Analytics, Artificial Intelligence, Engineering, or Physics required.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience in strategy-to-implementation programs related to Customer Data Platforms (CDP) and digital analytics. Develop solutions using modern data analysis, modeling, enrichment, and visualization tools such as Tableau, Datorama, Looker Studio, and Power BI.
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As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.
Part-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Integrate data from Segment, Google Analytics, Google Tag Manager, Google Ads, and Facebook Ads into data lakes and warehouses including BigQuery and Cloud Storage inside Google Cloud Platform.
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Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) You will be a trusted advisor and an Analytics, Data & AI subject matter expert with core capability and expertise in Data Modernization, Analytics and AI. You will work with customers to leverage data to help them achieve their business priorities and help guide customer's journey through Analytics-led Azure Data transformation.
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The IT Digital Products team includes the following areas: Enterprise Architecture, Custom Digital Solutions, Integrations, Enterprise Data Management (EDM), Sophisticated analytics, and Robotic Process Automation (RPA.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Experience in data analytics or related field. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Technical Lead with 10+ yrs of experience as well as expertise in data engineering and analytics in.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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Will assume responsibility for a multifaceted portfolio spanning data engineering, data science, analytics, business analytics, data architecture, and data governance.
$225,000 - $285,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago
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