Data Scientist at Vodafone developing advanced analytical models to derive insights from large datasets. Collaborating on AI systems within cloud environments focusing on business outcomes.
About the role
- Senior Data Scientist optimizing retail operations and driving insights through machine learning. Collaborated with teams to innovate and implement analytical solutions within Walmart's global structure.
Responsibilities
- Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
- Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
- Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
- Build and train statistical models and machine learning algorithms for replication for future projects
- Communicate recommendations to business partners and influence future plans based on insights
Requirements
- Bachelor's with > 7 years /Masters > 5 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with > 3 years of relevant experience
- Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
- Experience in analyzing complex problems and translate it into data science algorithms
- Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms
- Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
- Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
- Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
- Lead role mentoring multiple Jr. Data Scientists on approach and results.
- Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment
- Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, Scala)
Benefits
- Incentive awards for performance
- Maternity and parental leave
- Paid time off
- Health benefits
- Career growth opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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