Pepsi Foods | Data Science Analyst | Gurugram | Bharat | BigDataKB.com | 2023-03-04

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Job Location: Gurugram

Job Detail:

  • 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 Pipelines leveraging the NGAA platform (Azure)
  • Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
  • Automate ML models deployments

Qualifications:

  • 4 – 7 years of overall experience that includes at least 4 + years of hands-on work experience data science / Machine learning
  • Minimum 4 + year of SQL experience
  • Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred) is preferred
  • B E /BS in Computer Science, Math, Physics, or other technical fields.

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Skills, Abilities, Knowledge:

  • Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models
  • Programming Skills – Hands-on experience in statistical programming languages like Python , R and database query languages like SQL
  • Statistics – Good applied statistical skills, including knowledge of statistical tests , distributions, regression, maximum likelihood estimators
  • Cloud ( Azure ) – Experience in Databricks and ADF is desirable
  • Familiarity with Spark, Hive, Pig is an added advantage
  • Model deployment experience will be a plus
  • Experience with version control systems like GitHub and CI/CD tools
  • Experience is 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

Differentiating Competencies Required

  • Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies
  • Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions
  • Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to clear, aligned requirements
  • Able to work independently with business partners to understand requirements quickly, perform analysis and lead the design review sessions
  • Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business
  • Places the user in the centre of decision making
  • Teams up and collaborates for speed, agility, and innovation
  • Experience with and embraces agile methodologies
  • Strong negotiation and decision-making skill
  • Experience managing and working with globally distributed teams

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