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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. 6+ years of experience in a People Analytics/Data Science role.
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Able to drive internal learning through journal clubs, internal data science education sessions and continuously deepen the team knowledge in data science practice and research.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Affinity to either performance optimizing, user experience design, automated testing and/or data science. + Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Bachelors degree in data science, engineering, computer science or related field or equivalent industry training and certifications. Installing and utilizing data encryption programs, firewalls, and other software to safeguard corporate data and protected information.
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Qualifications: Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVie's R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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Qualifications in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering. Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Job profile : Data Engineer experience on Spark with Scala / Azure Databricks. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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Job Title: Data Scientist (Computational Scientist) computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.
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Interpret analytical data, while applying sound engineering judgment and an understanding of industry codes, design guidelines, recommended practices, and historical research to develop practical solutions.
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Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related. The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them.
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Utilize Microsoft Azure services and tools to build and manage data solutions, including but not limited to Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
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Master’s in Food Science, Animal Science or Meat Science. Bachelor's degree in Food Science, Chemistry, or similar field required. Job Description Description: Associate Food Scientist-R&D to perform food product development work to meet project objectives.
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data science jobs Title: research associate Company: Gilead Sciences in Mettawa, IL
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