Sr Data Scientist I (AI Focus)
New
United StatesFull-TimeSenior
Salary127,000 - 150,000 USD per year
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSPythonSQLMachine LearningPyTorchAzureSparkTensorflowGenerative AI
Requirements
- Bachelor’s degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, or related); Master’s or PhD preferred.
- 6+ years of experience in data science, machine learning, or predictive modeling (advanced degrees may offset experience).
- Strong expertise in statistics, optimization, machine learning theory, and quantitative modeling techniques.
- Proven hands-on experience with Generative AI, Agentic AI, and large language models (LLMs), including prompt engineering and integration.
- Advanced programming skills in Python, R, SAS, or SQL.
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- Strong ability to lead end-to-end data science projects from model design through deployment.
- Experience working with large-scale datasets and distributed computing tools such as Spark and cloud platforms (AWS or Azure).
- Familiarity with modern data platforms such as Databricks, SageMaker, or Snowflake is a plus.
- Strong communication skills, intellectual curiosity, and a proactive, problem-solving mindset.
Responsibilities
- Develop, implement, and maintain machine learning, generative AI, and agentic AI models to solve complex business problems.
- Analyze large structured and unstructured datasets to extract insights, identify patterns, and support strategic decision-making.
- Design and evaluate statistical and predictive models, ensuring robustness, accuracy, and business relevance.
- Integrate foundational and advanced AI models (including LLMs) into production pipelines and scalable systems.
- Collaborate closely with business stakeholders and data teams to translate requirements into analytical and AI-driven solutions.
- Conduct model testing, validation, tuning, and performance evaluation to ensure optimal results and reliability.
- Support deployment and operationalization of machine learning solutions using modern data and cloud platforms.
- Mentor and guide junior data scientists, reviewing work and supporting technical growth within the team.
- Contribute to research and experimentation with emerging AI techniques to advance organizational capabilities.
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