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This role demands a blend of expertise in data science and a deep understanding of the semiconductor industry, aiming to harness advanced data analytics, predictive modeling, and artificial intelligence to address complex business challenges.
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You have experience in one or more of the following toolsets: Python scikit-learn, Databricks ML, AWS Sagemaker, MATLAB, SPSS/R.You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like Python, R, Tensorflow/PyTorch, Plotly Dash, Streamlit, R Shiny, Tableau or Power BI. Southern California Base Salary Range: $116,974-$187,158.
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Master's degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$1,054 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Minimum 5 years of experience utilizing various tools such as Python, R, SQL, or Tableau, and reporting platforms with the ability to represent data through reports, dashboards, scorecards, or KPIs. In lieu of 5 years of analytics tools experience, a Master's Degree in a relevant program plus 2 years of experience will be considered.
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Of experience in data science (predictive modeling and analytics) Exp. w/Python & R Exp. w/SQL Exp. w/Data Visualization & A/B testing Preferred Experience Postgres, Databricks, GraphQL Benefits & Perks Performance bonus Stock Options Unlimited Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Proven experience in leading solution engineering or product design and associated methodsExperience w/Mixed data sets and approaches (analytics, analytic tools, data science)Exceptional understanding of cutting-edge analytics, technologies, consumer behavior, and travel industryProficiency with Python, SQL, Snowflake, Databricks, Tableau, PowerBI and other commonly used analytics, data management and business intelligence applications.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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A minimum of three (3) years of experience using R programming language (Python is a plus) + Provides statistical analysis and reports including hypothesis testing, forecasting, and predictive analytics.
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data science predictive analytics analyst python r jobs Company: Ochsner Health
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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