Description

You will own end-to-end data science projects, translating business problems into statistical solutions and production-ready models.

This role is on-site.

Responsibilities

• Frame data science opportunities by defining business problems and determining the analytical approach.
• Gather, cleanse, and transform internal and external data for analysis.
• Build, productionize, and maintain machine learning models to address specific business needs.
• Create visualizations and dashboards to present insights and defend modeling results to stakeholders.
• Participate in strategic planning discussions regarding data science and big data initiatives.

Required Skills

• 5+ years of practical experience framing and solving data science problems.
• 5+ years of hands-on experience with applied statistics and/or machine learning.
• 5+ years of experience solving problems with Python, pandas, and scikit-learn.
• 3+ years of experience solving NLP, text, and content analytics problems.
• 3+ years of experience using SQL to query relational data for analysis.
• 3+ years of experience developing visualizations with Python libraries, Spotfire, or Power BI.
• 3+ years of experience applying descriptive and inferential statistics to real-world problems.
• 3+ years of experience building software source control, architecture, data structures, and algorithms.

Preferred Skills

• Professional experience with Google Cloud Platform (GCP), specifically BigQuery.
• Experience modeling customer churn, conversion, or building recommender systems.

Key Skills

Education

Any Gradute