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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.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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.
$200Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Experience with scripting and data analysis programming languages, such as Python or R. A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role.
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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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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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The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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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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Python, R, SQL skills welcomed. Dodge & Cox also provides additional benefits such as commuter, health & wellness, backup care, matching gift, employee assistance, and life and disability insurance.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today
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