Data Scientist

Pepsico

3 - 8 years

4 - 20 Lacs

hyderabad telangana india

Posted:1 day ago| Platform: Foundit logo

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Skills Required

machine learning model development (supervised & unsupervised) ml ops & devops cloud pipeline automation (azure/aws/gcp) big data processing (spark/hive/pig) data engineering collaboration & data pipeline development model deployment & monitoring

Work Mode

On-site

Job Type

Full Time

Job Description

Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
Use big data technologies to help process data and build scaled data pipelines (batch to real time)
Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
Automate ML models deployments

Qualifications

Minimum 3years of hands-on work experience in data science Machine learning
Minimum 3year of SQL experience
Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
BE/BS in Computer Science, Math, Physics, or other technical fields.
DataScience Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models
Programming Skills Hands-on experience in statistical programming languages likePythonand database query languages likeSQL
Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
Any Cloud Experience in Databricks and ADF is desirable
Familiarity with Spark, Hive, Pigis an added advantage
Model deployment experience will be a plus
Experience with version control systems like GitHub and CI/CD tools
Experience in Exploratory data Analysis
Knowledge of ML Ops DevOps and deploying ML models is required
Experience using MLFlow, Kubeflow etc. will be preferred
Experience executing and contributing to ML OPS automation infrastructure is good to have
Exceptional analytical and problem-solving skills

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