Data Scientist at System Soft Technologies

Short Description:

We are hiring a Senior Data Scientist to join our team, focusing on creating and optimizing workflow processes in collaboration with business operations. The role involves implementing statistical tests and metrics for a model monitoring solution, covering aspects like performance, data drift, and model explainability. Daily tasks include adding metrics to the framework catalog, implementing global and local model explainability, and conducting proof-of-concepts for various model monitoring concepts. Required qualifications include a strong foundation in statistical concepts, core data science skills, and experience with machine learning implementation using Pyspark. Preferred qualifications include familiarity with AWS, Argo Workflows, REST API, GRPC, and expertise in coding, performance tuning, and working with LLM models.

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Position: Data Scientist

Company: System Soft Technologies 

Location: India

Mode: Remote 

 

Job Summary:

We are seeking a dynamic Senior Data Scientist to join our team and collaborate across various business operations to design and enhance workflow processes.

Responsibilities:

We are currently developing a model monitoring solution to track deployed models in production, focusing on metrics such as performance, data drift, data quality, and model explainability. We are in search of a candidate with expertise in implementing these tests and metrics from a fundamental data science perspective to contribute to building this framework.

Daily tasks for the candidate will include:

1. Implementing various statistical tests/metrics to augment our framework's catalog.
2. Implementing model explainability on a global, local, and decision intelligence level.
3. Conducting proof-of-concepts (POCs) related to the concepts mentioned above and general model monitoring for classical, deep learning, and LLMs (Large Language Models).

Qualifications:

Must-Have:

• Strong grasp of statistical concepts such as hypothesis testing, comparing distributions, normal distributions, Central Limit Theorem (CLT), tests like Jensen-Shannon, Kullback-Leibler, Kruskal-Wallis, PSI, etc.
• Proficient skills in core data science concepts including linear regression, classification, bagging/boosting, dimensionality reduction, and model explainability.
• Extensive focus on machine learning implementation, encompassing data quality, drift, and model performance metrics.
• Hands-on experience in Pyspark.

Good to Have:

• Experience with AWS, Argo Workflows, REST API, GRPC.
• Ability to code using an object-oriented methodology and optimize for performance tuning.
• Proficient in writing clean code following PEP guidelines.
• Hands-on experience with inferencing and fine-tuning LLM models like LLaMA, Claude, Falcon.

System Soft Technologies is an equal employment opportunity employer and is committed to the full inclusion of all qualified individuals. We encourage applicants from diverse backgrounds to apply. If you require a reasonable accommodation due to a disability, please contact us at talent.acquisition@sstech.us to discuss your needs.

Please click here to apply.

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