Lead Data Scientist

Posted 5 days agoViewed

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💎 Seniority level: Lead, 3+ years

📍 Location: United States

💸 Salary: 135000.0 - 175000.0 USD per year

🔍 Industry: Software Development

🏢 Company: CodePath👥 11-50💰 $50,000,000 Grant 6 months agoEducation Communities Training Mobile

⏳ Experience: 3+ years

🪄 Skills: AWSPythonSQLCloud ComputingData AnalysisGitMachine LearningPyTorchTableauAlgorithmsData engineeringData sciencePandasTensorflowCommunication SkillsAnalytical SkillsProblem SolvingData visualizationData modelingData analytics

Requirements:

3+ years of relevant professional experience in data science, machine learning, or a related field
Strong foundation in statistics, data analysis, and machine learning algorithms
Proficient in Python or R, with experience in using libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
Experience working with cloud-based platforms such as Google Cloud, AWS, or Azure, especially in deploying machine learning models and querying data from data warehouses
Substantial experience in SQL and working with large datasets, including data wrangling, cleaning, and transformation
Familiarity with data engineering tools and concepts, and a strong understanding of how data models and pipelines support advanced analytics

Responsibilities:

Work with senior leaders to set and execute on a strategy for measuring and evaluating CodePath's impact
Collaborate with data engineers and stakeholders to design, refine, and deploy data pipelines that feed models and analytics processes
Create and maintain dashboards, visualizations, and reports that communicate complex analyses in a clear and actionable manner using tools like Tableau or other BI platforms
Perform exploratory data analysis (EDA) to identify trends, patterns, and insights, and communicate findings to stakeholders
Develop and implement models, including statistical and machine learning models, to support business decision-making
Develop and maintain data processing workflows for model training, evaluation, and deployment
Work closely with cross-functional teams to understand their data needs and translate business problems into analytical questions
Develop and maintain documentation for data science workflows, models, and methodologies that help achieve business goals and support impact measurement

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