Data Scientist II - Analytics

Data Scientist II – Analytics

2+ years of professional experience in data science, analytics, or a related quantitative field, ideally focused on marketing, CRM, or customer engagement.
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering is required; a Master’s is a strong plus.
Proficient in SQL and experienced with one or more of Python, R, or PySpark for data manipulation, analysis, and visualization.
Solid understanding of statistical methods, including A/B testing, experimental design, and causal inference techniques.
Proven ability to translate complex data into clear business insights, and to tell compelling data stories that drive decision-making.
Strong communication skills with the ability to clearly explain methodologies and findings to both technical and non-technical audiences.
Excellent analytical problem-solving skills and can-do attitude.
Display strong domain knowledge, business acumen and critical reasoning skills.

Apply your knowledge of SQL, Python or R on a daily basis
Provide thought leadership on testing frameworks, analyze test results, and recommend testing opportunities.
Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions.
Constantly assess the status quo, find and discuss opportunities for optimization, simplification and acceleration of current processes.
Clearly and confidently articulate decision-making rationale, solutions, methodologies and frameworks to team members and both technical and non-technical partners.
Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that tackle the objective, not the ask.
Prioritize multiple tasks and workstreams simultaneously and own projects end to end.