Data Scientist, Capacity Efficiency, Mid-Level

Jobright.ai; San Francisco (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading AI career platform is seeking a Mid-Level Data Scientist focused on optimizing computing resources. The role involves analyzing data, developing forecasts, and collaborating with various teams. The ideal candidate has over 6 years of experience in data science, excels in Python and SQL, and has a Bachelor's degree. Competitive salary range is offered.

Qualifications

• 6+ years of experience in data science roles.
• Expertise in Python, SQL, and data visualization tools.
• Strong written communication and presentation skills.

Responsibilities

• Analyze infrastructure and utilization data for key metrics.
• Develop models to forecast future capacity needs.
• Partner with stakeholders to optimize capacity allocation.

Skills

Python

SQL

Data Visualization Tools

Cloud-Based Billing Systems

Capacity Optimization

Education

Bachelor's Degree in a related field

Job description

Data Scientist, Capacity Efficiency, Mid-Level

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Data Scientist, Capacity Efficiency, Mid-Level

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Job Summary:

Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The Data Scientist, Capacity Efficiency will play a crucial role in optimizing computing resources to support the deployment of AI, working closely with various teams to analyze data and forecast capacity needs.

Responsibilities:

• Analyze infrastructure and utilization data to define key metrics, understand trends, set team goals, provide actionable insights and identify optimization opportunities.

• Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products.

• Develop models to forecast future capacity needs based on business growth projections and product roadmaps.

• Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations.

• Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible.

Qualifications:

Required:

• 6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute.

• Knowledge of cloud based billing systems and efficiency optimization.

• A passion for the company's mission of building helpful, honest, and harmless AI.

• Expertise in Python, SQL, and data visualization tools.

• A bias for action and urgency, not letting perfect be the enemy of the effective.

• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

• A deep curiosity and energy for pulling the thread on hard questions.

• Experience in turning open questions and data into concise and insightful analysis.

• Highly effective written communication and presentation skills.

• We require at least a Bachelor's degree in a related field or equivalent experience.

Company:

Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Anthropic has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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