Job details
Job type full-time
Full job description
Job description
Everyone at kite is grounded by one common goal – curing cancerEvery single day, we seek to establish a direct line between that purpose and our day-to-day workWould you like to join us in this mission?
We are seeking a highly motivated associate data scientist to join our data strategy and analytics team within global supply chain This position will focus on broad data exploration, quantitative methodology and statistical modeling to enhance our supply chain responsiveness, agility and optimization We are a product-minded team who blends elements of ux design, product strategy and data mining to build user-centric tools that bring insights into the evolving complexities of our supply chainThe successful candidate will thrive in a fast-pace environment, has strong communications and consulting skills and loves problem solving using data.
While our preference is for this position to be based out of our santa monica, ca headquarters, this position can be a remotely-based position in the contiguous united states for the right candidate or located at our frederick, maryland location.
Responsibilities of the associate data scientist include:
Serves as a thought partner to global supply chain functions including network planning, procurement, materials planning, logistics and distribution to understand external variables, learn internal landscape and develop relationships to successfully enable the delivery of analytics
Discovers new use cases for applied data science and machine learning opportunities by exploring diverse datasets, assessing feasibility and designing prototype models
Translate problems into specific analytical questions and form hypotheses that can be answered with available data using statistical methods or identify additional data needed
Perform hands-on data analyses and modeling to develop insights and recommendations to inform decisions across the supply chain portfolio
Delivers insights via ad hoc reporting, dashboards, structured analysis or custom apps
Effectively plans and collaborates with team members on data-driven projects to improve internal tools, systems, and data pipelines
Translates business functional requirements into technical specifications and, conversely, technical approaches into easily digestible terms
Applies ux and product management approaches to ensure our deliverables evolve and continue to provide value over time
Basic qualifications :
Ms / ma degree with 3+ years of supply chain and/or data analytics and/or information systems and/or operations experience
Or
Bs / ba degree with 5+ years of the aforementioned experience
Or
High school degree with 9+ years of the aforementioned experience
Preferred qualifications:
5+ years hands-on experience in analytics, data science or business intelligence
3+ years experience in supply chain, operations, procurement, consulting, life sciences or related field
Excellent skills with exploratory data analysis and modeling using python (pandas, numpy, sklearn), r or sas
Strong sql skills for complex querying, analysis, and performance optimization
Demonstrated experience building interactive data visualizations using tools such as tableau, r shiny, plotly, dash
Demonstrated knowledge and experience applying various machine learning techniques (classification, regression, nlp) and understanding the key parameters that affect their performance
Experience sourcing, merging and cleansing datasets using tools such as alteryx, sas or custom scripting
Experience working on cloud platforms such as aws (s3, athena, redshift, glue, sagemaker)
Practical experience using tools such as github, jupyter notebook and jira
Foundational understanding of data warehousing concepts, design, modeling and data engineering
Experience working with large scale erp such as oracle and sap
Ability to work independently, initiate and drive work to conclusion
Exceptional communication and presentation skills across a diverse audience
Understanding of user experience design principles, product management and agile methodology
Does this sound like you? if so, please apply today!
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