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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, [redacted], Tableau.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Review data analytics of operational trends (historian trend logs) to evaluate equipment health, remaining useful life and predictive failure models. Data Center Electrical Engineer (Remote - East Coast Preferred.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Python, R, and SQL. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Assist the Data Science team to design and build algorithms and predictive models using techniques such as linear and logistic regression, support vector machines, ensemble models (random forest and/or gradient boosted trees), neural networks, and clustering techniques.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio.
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Develop, design, build, and oversee data science solutions to provide predictive insights that further McKesson’s vision to improve care in every setting. Provide analytics leadership; conduct methodology and code reviews; utilize industry and academic resources to continuously learn and contribute to a growing knowledge base of data science best practices.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Leverage a broad set of modern technologies – including Python, R, and Spark – to analyze and gain insights within large data sets. Point of contact between the data analyst/data engineer and the project/functional analytics leads.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Proficiency in statistical analysis, data mining, predictive modeling, and machine learning techniques like Python, R, SQL, Tableau, PowerBI or similar platforms. Expertise in applying data analysis, data science, forecasting, decision analytics, BI reporting and other analytics frameworks and techniques to influence business decisions.
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Requirements: Requires a Bachelor's degree or its foreign equivalent in Computer Science, Electronic Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Computer Programmer, Applications Development Technical Lead Analyst, or related position involving development and implementation of Data warehousing applications.
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Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Cosmos DB, Azure Synapse Analytics (formerly SQL Data Warehouse), etc.
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data science predictive analytics analyst python r jobs Company: Cvs Pharmacy in Irving, TX
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