Advanced Data Analytics Specialist

1 week ago


Gurgaon, Haryana, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Expert Data Scientist Position

We are seeking highly skilled and innovative Data Scientists to join our team. The selected candidates will be responsible for developing new capabilities, accelerating growth, and supporting commercial & clinical strategies.

  • Be an individual contributor to the Data Science team, solving real-world problems using cutting-edge capabilities and emerging technologies.
  • Help clients translate business use cases into data science solutions.
  • Data source configuration, maintenance, document, and maintain work-instructions.
  • Deep working on machine learning frameworks such as TensorFlow, Caffe, Keras, SparkML.
  • Expert knowledge in statistical and probabilistic methods such as SVM, Decision-Trees, Clustering.
  • Expert knowledge of Python data-science and math packages such as NumPy, Pandas, Scikit-learn.
  • Proficiency in object-oriented languages (Java and/or Kotlin), Python, and common machine learning frameworks (TensorFlow, NLTK, Stanford NLP, LingPipe etc.).

Requirements:

  • Bachelor Equivalent - Engineering.
  • Master's Equivalent - Engineering.

Work Experience:

  • Data Scientist: 3-5 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python.
  • Experience in delivering data science projects leveraging cloud infrastructure.
  • Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau and Power BI.
  • Relevant experience in Feature Engineering, Feature Selection, and Model Validation on Big Data.
  • Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage.
  • ML Ops Engineering: 3-5 years of experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc., experience with Docker and Kubernetes, OpenShift.
  • Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations.
  • Gen AI: Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms.
  • Must have basic knowledge on concepts of Generative AI / LLMs / GPT.
  • Deep understanding of architecture and work experience on Web Technologies.


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