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Senior Data Scientist

Confirmed live in the last 24 hours



1,001-5,000 employees

AWS platform consulting company


Chicago, IL, USA

Data Science
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Data Science
Data Structures & Algorithms
Data Analysis
Google Cloud Platform
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning
  • Proficient in Python, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Matplotlib
  • Experience with developing and training custom models using TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, and AWS Bedrock
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques
  • Experience with key generative AI concepts including fine-tuning and retrieval-augmented generation
  • Strong understanding of the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing
  • Excellent analytical and problem-solving skills with the ability to work on complex data science challenges
  • Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences
  • Experience in pre-sales activities, including project scoping, estimation, and solution design
  • Assist customers in identifying, evaluating, and prioritizing AI-ready use cases
  • Design, develop, and implement complex machine learning models and algorithms
  • Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions
  • Lead client-facing project teams of data science and AI experts
  • Develop and train custom models using frameworks such as Scikit-Learn, TensorFlow, or PyTorch
  • Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment
  • Communicate complex technical concepts and findings to stakeholders and leadership
  • Mentor and provide guidance to junior data scientists
  • Participate in pre-sales activities, including project scoping, estimation, and solution design
  • Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices
  • Contribute to the development and enhancement of data science service offerings and thought leadership

Company Stage


Total Funding



Bengaluru, India