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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Familiarity and experience utilizing data warehouse, data analytics, Smartsheet, K2 and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) In the absence of the Payments Manager, responsible for the reconciliation and processing of all final disbursement activity.
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Proficiency in data analysis tools (e.g., Python, R, SQL, Excel) Proficiency in data visualization tools (e.g., Tableau, Power BI, D3. Data visualization using tools like Tableau or Power BI.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Knowledge of Power BI, SQL, Python, R, DAX, Databricks, Power BI Paginated Report Builder, and DevOps. Experience in U.S. electricity markets, wind farm operations, production-based availability, performance loss calculations, and high frequency timeseries data.
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Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, R and Python.
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Experience and proficiency in one or more of the following statistical programming languages is required: Python, R, SAS, NCSS, MPlus, SPSS, and Stata. Under the supervision of a PIs, the selected candidate will lead data analyses for projects related to heart disease and is expected to leverage conventional and advanced data science/machine learning approaches in the analysis of high-dimensional clinical datasets.
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Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
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The Cancer Center partners with the Tufts Clinical and Translational Sciences Institute, the Tufts University School of Medicine, the Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, the Tufts University Graduate School of Biomedical Sciences, and numerous other graduate schools across Tufts University to revolutionize health education and inspire discovery.
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Expertise in using Databricks platform on AWS for data processing and analytics. Leverage Databricks platform on AWS to build and manage data processing workflows and analytics, while adhering to development lifecycle standards.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square.
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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) This high-profile group works across all of Investment Management as well as with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.
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Masters degree in chemistry, biotechnology, biology, engineering or related pharmaceutical science and 5+ years relevant materials management in Manufacturing or Process Development. Bachelors degree in biotechnology, biology, engineering or related pharmaceutical science and 7+ years relevant materials management in Manufacturing or Process Development.
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Mail Processor – Performs a variety of functions to accomplish the processing of mail. Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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data science processing python r jobs in Boston, Wailuku, Hawaii
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