This is a remote position.
About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.
What You'll Do
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Develop, deploy, and maintain production machine learning models.
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Perform exploratory data analysis and feature engineering to extract actionable insights.
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Build and improve data pipelines that support ML workflows and automation.
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Collaborate with engineering and business stakeholders to deliver scalable ML solutions.
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Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.
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Monitor and optimize model performance in production environments (not only notebook-based development).
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Document all procedures, configurations, and changes in a clear, auditable manner.
What You'll Need
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2+ years of experience building and maintaining production machine learning models.
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Strong Python programming skills.
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Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.
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Experience deploying and monitoring ML models in production (not only notebook-based development).
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Advanced SQL.
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Git/version control.
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Ability to work independently in production environments.
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Experience with MLOps tools (MLflow, Airflow, dbt, or similar).
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Snowflake.
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Marketing, growth, experimentation, or causal inference experience.
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Experience with LLMs or AI agents.
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Agile development practices.
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Experience building scalable ML solutions in enterprise environments.
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Familiarity with cloud-based ML platforms and production deployment best practices.
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Strong communication skills and ability to work with cross-functional teams.
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Familiarity with US time zones (PST to EST) and remote collaboration workflows.
Why Aspire In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation.
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Be part of a remote-first organization where flexibility is embraced.
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Work and learn alongside talented engineers and technology leaders.
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Explore opportunities to learn and grow through technical and non-technical training programs.
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Gain global exposure by working on products with international teams and clients.
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Attend virtual and in-person international technology conferences to expand your knowledge and network.