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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks etc. Proficient in Python, SQL, Git, and Jenkins and in frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Extensive knowledge of modern JavaScript frameworks (e.g., Next.js, Vue.js), Python, SQL, and RESTful APIs. Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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In addition, the ideal applicant should have a strong programming background (e.g. Python, R, SQL, MATLAB) and the drive and enthusiasm to learn about clinical neuroscience by assisting in state-of-the art patient-centered research.
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Expertise in Python, Spark, Machine Learning, SQL, and ElasticSearch. Experience with data visualization technologies, including Vue. JS, React, or similar, and API development. Expertise in Python, Spark, Machine Learning, SQL, and ElasticSearch.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and data visualization tools (e.g., Tableau, Power BI). Proficiency in programming languages such as Python, R, and SQL.
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With dependency mapping- Data analysis and data modeling- Strong experience in Python, SQL, shell scripting- Experience interacting with APIs, SFTP, Cloud Storage locations (eg. This individual will work directly with the Data Architect, along with the CTO of Lasso to establish a Machine Learning platform along with best practice engineering standards to ensure secure and successful data solutions.
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Experience overseeing teams that use a range of data tools/languages to conduct/automate analysis and derive insights (e.g., Alteryx, SQL, QGIS, Python, R, Tableau, Qlik, etc.) Machine learning, predictive modeling, and geospatial analytics.
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Required competency in Python and classical ML methodologies - deep Learning and Databricks experience is preferred. Databricks Machine Learning Associate or Machine Learning Professional Certification.
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Write and test requested reports utilizing Crystal Reports, SQL language, or other query tools. The candidate will be responsible for learning the applications supported, level 2 & 3 user support, minor programming tasks, extensive pre-release testing, and other support tasks for enterprise-wide applications.
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Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science from a top tier academic institution with a significant focus on applying artificial intelligence and machine learning approaches to understanding complex biological systems.
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Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, AWS Redshift Datawarehouse ,operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL.
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