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Experience with design of experiments, data analysis, and exposure to graphical and statistical software (JMP, R, Python, or similar). Codexis, a biotechnology company based in Redwood City, CA, is looking to hire a Bioprocess Development Fermentation Scientist II.
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Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions.
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Strong programming skills that include experience with Tableau, Python, R, Teradata, SAS/ SQL and related analytical experience. Investigate industry data to check loan performance through data analysis, data mapping and data migration.
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Experience with general-purpose programming (e.g. Python, Java, R), dealing with a variety of data structures, algorithms, and serialization formats. Experience with integrations and data warehousing using tools like Snowflake, DBT, and Airflow.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Programming languages Python, R, and SQL to analyze and visualize data. Proficiency in data visualization tools such as Tableau, Power BI, and QlikView. Proficiency with data profiling and metadata scanning tools such as Informatica IICS.
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At least 4 years of experience coding in Python, R, Spark, or SQL. Scripting experience in (Python, R, Spark, and SQL) Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Proficiency in data analysis tools and software (e.g., SQL, Excel, R, Python, Tableau, Power BI). Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field.
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Experience with scripting and querying tools like Python, R or SQL, statistical methods, and data modeling a plus. Microsoft Power BI Data Analyst PL-300 Certification or equivalent knowledge highly preferred.
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Responsibilities Own end-to-end identification of opportunities, development, and execution of advanced modeling for customer behavior (Churn model, Customer Lifetime value, Causal Inference for Treatment variables) Execute, improve, and streamline data processes to enhance understanding of our business health and performance using SQL, Python/R, and Excel among other analytical tools.
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Experience with scripting languages (Python, R). Power BI, Tableau, SQL, Python. In this role, you will be responsible for transforming raw manufacturing data into actionable insights through the creation of informative dashboards in Tableau or Power BI. You will collaborate with stakeholders across the organization to identify key performance indicators (KPIs) and design dashboards that effectively communicate trends, identify areas for improvement, and support data-driven decision-making.
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Skills: Data Modeler- Data Modeling, ERWin (Must Have) ,Data Products, Snowflake, Preferred- Hackoldae, or ER/Studio. Experience as Data Modeler on OLTP relational and data warehouse projects.
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Designs and implements workflow automation, algorithms, and code (R, Python, SAS) for analyzing complex datasets to conduct data modeling, data mining, and advanced research.
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Experience with statistical programming languages (R, Python), predictive analysis techniques and tools and data visualization and reporting tools such as Power BI (nice to have.
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Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready.
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