SailPoint · 2 days ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

5+ years exp

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Enterprise SoftwareIdentity Management

Growth Opportunities

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Responsibilities

Developing approaches for continuous performance monitoring of models in production.

Defining and implementing metrics to evaluate the success of AI/ML features.

Engaging in the end-to-end product ML lifecycle, from ideation to deployment and monitoring of models in production.

Autonomously engaging in time-sensitive R&D for complex and ambiguous problems in domains like Recommender Systems, Graph ML, GenAI & NLP.

Developing prototypes and demonstrations to communicate results to the data science team, product, and engineering stakeholders.

Triaging and performing root cause analysis of AI/ML issues in production.

Qualification

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Data scienceMachine learningMl algorithmsModel deploymentPythonPytorchTensorflowPandasRStatisticsHypothesis testingStatistical inferenceSamplingProblem-solvingSelf-starterVerbal communicationWritten communicationAI/ML ProductsGraphsGraph DatabasesGraph AlgorithmsGNNs/GATsRecommender SystemsCloud Computing WorkflowsAWS EMRAWS EC2AWS EKSAWS SageMakerCloud Deployment TechnologiesLarge-Scale Distributed Computing

Required

Applicants must be able to work in the US or Canada without visa sponsorship

B.S. or above in quantitative discipline: Computer Science Statistics, Applied Mathematics, Engineering, or related field

Minimum of 5 + years of experience working as a Data Scientist or Machine Learning Engineer

Understanding of common ML algorithms and techniques for clustering, classification, regression, anomaly detection, recommender systems

Proven experience building ML models and deploying them to production

Experience with common ML tools and libraries: Python, PyTorch, TensorFlow, Pandas, R

Solid applied statistics knowledge: hypothesis testing, statistical inference, sampling, etc

Strong analytical and problem-solving skills

A self-starter who can engage on ambiguous assignments and provide thought leadership

Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders