A key contributor to Blue Yonder's Applied Data Science (ADS) team, helping customers maximize the value of Blue Yonder's cognitive supply chain solutions through data-driven insights, analytical expertise, and continuous improvement.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques
Conduct data mining using cutting-edge methods and tools
Integrate third-party data sources to enhance the company’s datasets when necessary
Refine data collection procedures to ensure relevant data is available for analytic systems
Process, cleanse, and verify the integrity of data used for analysis
Requirements
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science
As a Data Science Consultant, you will be a key contributor to Blue Yonder's Applied Data Science (ADS) team, helping customers maximize the value of Blue Yonder's cognitive supply chain solutions through data-driven insights, analytical expertise, and continuous improvement.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques
Conduct data mining using cutting-edge methods and tools
Integrate third-party data sources to enhance the company’s datasets when necessary
Refine data collection procedures to ensure relevant data is available for analytic systems
Process, cleanse, and verify the integrity of data used for analysis
Requirements
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science
Motivated data scientist to join the Olink Insight team in Uppsala, collaborating with data scientists and software developers to develop scientific tools for proteomic data analysis.
Responsibilities
Carry out research projects to explore potential features and share findings with data scientists and stakeholders
Implement data analysis functionality in the application in collaboration with software development team
Contribute to the management of biological data sources
The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts within the Portfolio Construction and Analysis (PCA) team.
Compensation
The annual base salary range is $175000.00-$300000.00 (USD) . Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.
Responsibilities
Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components
Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors
Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm
Requirements
Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline
Lead the commercial analytics data science roadmap end-to-end, taking full ownership from problem framing and experimentation through to production deployment and impact evaluation.
Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
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