Granicus

Data Scientist 3

Granicus

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Design, develop, and implement machine learning and deep learning models for various applications, such as customer churn prediction, recommendation systems, anomaly detection, and natural language processing
  • Leverage Python programming and its relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and iterate on models
  • Explore and experiment with cutting-edge techniques in generative AI to create innovative solutions for government and citizen engagement
  • Collaborate with product managers, engineers, and stakeholders to understand business requirements and translate them into data-driven solutions
  • Collaborate with software and data engineers to ensure seamless integration of models into Granicus products and platforms
  • Perform data analysis, cleansing, and feature engineering to prepare high-quality data for model training
  • Develop and maintain robust pipelines for data ingestion, transformation, and model training
  • Continuously monitor and evaluate model performance, identify areas for improvement, and iterate on models
  • Communicate complex technical concepts to stakeholders in a clear and concise manner
  • Contribute to the development of best practices, tools, and frameworks for data science and machine learning initiatives
  • Stay up to date on the latest advancements in data science and AI research

Requirements

  • Bachelor’s or Master’s degree in computer science, Statistics, Mathematics, or a related quantitative field
  • 5+ years of experience in data science, machine learning, or a relevant field
  • Proficiency in Python programming and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Strong understanding of machine learning and deep learning algorithms and techniques
  • Experience with generative AI models, such as text generation, image generation, or other creative applications
  • Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib)
  • Experience with cloud platforms and big data technologies (e.g., AWS)
  • Excellent problem-solving, critical thinking, and analytical skills
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences
Benefits
  • Employee Resource Groups to encourage diverse voices
  • Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work-life balance and current affairs
  • Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more
  • Special guests from time to time to discuss issues that impact our employee population

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep learningPythonTensorFlowPyTorchScikit-learndata analysisfeature engineeringdata manipulationdata visualization
Soft skills
problem-solvingcritical thinkinganalytical skillscommunicationcollaboration
Certifications
Bachelor’s degreeMaster’s degree