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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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Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs. - Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator.
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Experience with scripting and data analysis programming languages, such as Python or R. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications.
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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Experience working on open source projects a bonus. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. The Growth Data & Strategy team is responsible for building the vision, driving data-driven programs, and defining tooling strategies to increase Sales, Customer Success (CS), and Account Management (AM) teams’ efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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Demonstrated proficiency in programming languages such as Python, R, or SQL, as well as experience with data visualization tools (e.g., Tableau, Power BI). As the Director of People Insights Data Science & Engineering, you will play a pivotal role in maximizing the potential of our people analytics team.
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Experience with Open Source Data Visualization tools. Proficient in programming languages such as Python, R, SQL, and SAS. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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Proficient in programming languages commonly used in image data analysis, such as Python, R, MATLAB, or ImageJ/FIJI. As a Scientist on our Delivery team, you will perform scientific and data analysis while helping to drive our client projects.
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data science scientist python r open source jobs in San Francisco, Grove-city, Ohio
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