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The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
Qualifications
Work closely with business teams to identify, define, collect and track key business metrics and inform strategic decisions.
2. Take initiatives and implement analytics projects which have scope of incremental revenue / reducing cost/increased operational efficiency.
3. Tool and fetch data required to conduct business analysis, build and automate reports and dashboards to monitor business performance and generate business insights.
4. Collaborate with business leaders for requirement gathering and presenting data insights.
Requirements:
1. Bachelor's in engineering, Mathematics Or Statistics from a reputed Institute
2. Python/SAS/R with Basic Data modelling knowledge.
3. Basic SQL with ability to fetch, Transform data from tables.
4. Any Visualization tool experience(Tableau, PowerBi. .etc) is an added advantage.
5. Knowledge on Statistical Modelling.
Job ID: 150634621
Skills:
Java, Node.js, Sql, Microservices, React, Gcp, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, Python, AWS, LLMs, GenAI APIs, NoSQL databases, modern JavaScript, CICD pipelines, vector stores, RAG architectures
Skills:
Data Science, Machine Learning, Advanced Analytics, Python, Sql, GenAI
Skills:
Machine Learning, SAS, Matlab, Python, Sql, R, Statistical Modeling, Data Analysis
Skills:
MLops, Sql, Python, GenAI, LLMs, ML frameworks
Skills:
containerization , agent coordination, Azure ecosystem, cloud-native GenAI solutions, agent-based workflows, LLM APIs, vector databases, CI CD, embedding generation, Python 3.11, model monitoring
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