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Company

Original Job Post

Get It Recruit - Information Technology · 3 days ago

Expert Data Scientist

Alameda, CA

Full-time

Remote

Senior Level

$132K/yr - $226K/yr

6+ years exp

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Responsibilities

Collaborate with other data science professionals.

Develop domain knowledge in the electric and gas utility sector and related datasets.

Gather, clean, transform, and reduce data from various sources.

Work with business partners to enhance business processes based on analytical findings.

Apply machine learning and other analytical methods to develop robust models and visualizations.

Document data sources, methodologies, and model evaluation metrics.

Serve as the technical lead for complex model development.

Assess business implications of modeling assumptions, inputs, methodologies, and data analysis procedures.

Work with sponsor departments and subject matter experts to understand and apply data analytic solutions.

Present findings and make recommendations to senior management.

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.

ProbabilityStatisticsRisk analysisPythonGitMonte carlo simulationBayesian statisticsModel lifecycle managementSqlExcelPowerpointData visualizationBusiness environment knowledgeProject managementData scienceOperations researchData science toolsOperations research toolsProblem-solvingAnalyticalOrganizationalCommunicationMotivatedSelf-drivenCollaborationTask managementAdherence to deadlinesKnowledge sharingHandling riskUncertainty comfort

Required

Master's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field.

6 years of job-related experience.

Strong foundation in probability, statistics, and risk analysis.

Competent programming skills, particularly in Python, and familiarity with Git.

Experience with Monte Carlo simulation methods and Bayesian statistics.

Ability to work independently and proactively.

Experience with Model Lifecycle Management.

Proficiency in SQL, Excel, and PowerPoint.

Strong data visualization skills.

Excellent problem-solving, analytical, and organizational skills.

Ability to share knowledge and progress effectively.

Ability to handle risk and uncertainty comfortably.

Strong communication skills with peers, leadership, and stakeholders.