Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Collect and analyze data from various internal and external sources. Clean and amalgamate data to make it conducive for analysis. Use programming, math, statistical, and analytical skills to interpret data. Design data modeling processes and create algorithms and predictive models. Share meaningful insights with peers and business stakeholders. Collaborate with other teams to understand business needs and provide data-driven solutions. Keep up with current trends and build competency in the team with Proof of Concepts ( PoCs ) and prototypes. Successfully manag e end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building Conceive, plan and prioritize data projects Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems
Renault
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