5017 Data Scientist/Analyst

Job Summary:

We are seeking a Data Scientist/Analyst to develop data pipelines, machine learning models, and analytics products from large-scale data sources, including hard drive telemetry from data center deployments. The role applies data science to improve product reliability, customer support, and business decision-making across the organization. The ideal candidate works end-to-end — from raw data through deployed, maintained systems — and communicates effectively with engineering, sales, executive, and customer stakeholders.

Key Responsibilities:

• Develop, deploy, and maintain machine learning models for prediction and analytics use cases, including retraining, monitoring, and evaluation

• Design and maintain automated data pipelines for large-scale data ingestion, processing, and storage across cloud and on premises environments

• Build and support interactive dashboards and automated reporting for internal teams and customers

• Develop tooling to onboard and process new data sources, both internal and customer-provided

• Work closely with engineering, quality, sales, and marketing stakeholders to formulate problem statements and deliver analytics solutions

• Respond to ad hoc data questions and analysis requests from stakeholders as they arise

• Communicate key findings to technical and business audiences, including senior stakeholders and customers

• Research and evaluate new techniques and technologies in data science and machine learning

• Maintain clear documentation and technical standards

Required Qualifications:

• M.S. or B.S. in Data Science, Computer Science, Data Analytics, Engineering, or equivalent

• 3 years of professional experience delivering data science or data engineering projects to production

• Proficiency in Python and SQL, as well as common Python libraries like Pandas, NumPy, and Scikit-learn

• Experience with machine learning frameworks, model training, and validation

• Experience with cloud services (Azure, AWS, Google cloud)

• Experience with Git and version control workflows

• Strong problem solving and communication skills

Preferred Qualifications:

• Experience with large-scale time series or sensor data

• Comfortable working in Windows and Linux environments

• Dashboard and data product development experience

• Experience with GPU computing and on-premises ML development

• Familiarity with AI tools and their application to development and analytics workflows

• Storage industry or hardware domain knowledge

Salary Range: $99,400 - $140,000

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