Hybrid
Full Time
Collaborate with Business Partners: Execute data vision strategy and provide thought leadership to business. Develop analytical tools and capabilities to enable data query and respond to requests. Deliver Advanced Analytics and Models: Apply advanced statistical techniques (especially AB testing) and machine learning models. Research new modeling methods and experiment designs. Data Exploration: Ingest, cleanse, and profile large structured and unstructured datasets. Generate consumer insights from big data. Data Visualization and Storytelling: Use various tools/technologies to visualize and storyline insights Recommend strategies in technical and non-technical language. Qualifications: Required: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proficiency in Python (2+ years) and SQL (3-4+ years). Experience with data visualization tools (Tableau, Power BI, Matplotlib). Strong understanding of statistical methods and machine learning techniques. Ability to work with large datasets and cloud-based platforms (AWS). Excellent problem-solving, critical-thinking, and communication skills. Preferred: Master’s degree in Data Science or related field. Experience in a fast-paced environment. Experience with Dash/Shiny frameworks, Git, Apache Airflow, and AWS SageMaker
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