200+ applicants

Company

Saks · 6 hours ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

5+ years exp

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H1B Sponsor Likely

Hiring Manager

Nadaa Kenanga

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Responsibilities

Develop, and implement ML/AI models and algorithms to address specific retail challenges, such as personalized recommendations, automated content generation, and predictive analytics.

Collaborate with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensure data pipelines are optimized for efficiency and accuracy.

Deploy and maintain machine learning models in production environments (Astronomer, AWS, Snowpark). Implement MLOps practices to ensure scalability, robustness, and monitoring of deployed models.

Work closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.

Continuously evaluate and fine-tune models to improve performance and accuracy. Utilize feedback and metrics to enhance model effectiveness.

Maintain thorough documentation of model development processes and results. Communicate findings and insights to both technical and non-technical stakeholders.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonTensorFlowPyTorchScikit-learnLarge language modelsAWSGCPAzureSQLMLOpsSnowflakeBigQueryGitGitHubETL processesData warehousingAgile

Required

5+ years of related experience.

Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree is a plus.

Proficiency in Python, including libraries such as TensorFlow, PyTorch, and scikit-learn.

Experience with Large language models llama, Claude, etc.

Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.

Strong SQL knowledge for data manipulation and querying.

Worked with modern data warehouses like Snowflake or BigQuery.

Used source control, Git and/or GitHub, proficiently.

Familiarity with MLOps tools and practices for deploying and managing machine learning models.

Experience with data engineering practices and tools (e.g., ETL processes, data warehousing).

Worked in an agile team environment.

Strong analytical and problem-solving skills with the ability to think creatively and strategically.

Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.

Benefits

Benefits package for all eligible full-time employees (including medical, vision and dental).

An amazing employee discount

Company

Saks

Saks is the premier digital platform for luxury fashion in North America.

Founded in 2021

New York, New York, USA

1,001-5,000 employees

https://www.saks.com/

H1B Sponsorship

Saks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (5)

2022 (4)

2021 (8)

2020 (3)