Weekday AI
fintech
SeniorDataScientist
“Senior Data Scientist at Weekday AI. Skills: predictive modeling, Fraud/Risk Analytics, Python, SQL, Machine Learning. Examine datasets to uncover trends. Develop predictive and statistical models”
What You'll Achieve.
supporting strategic decision-making; optimizing operations; improving operational efficiency; automation
Industry & Context.
highly analytical; business-oriented; addressing complex business challenges; extracting insights; developing predictive models; performing advanced analytics; transform large datasets into practical business insights; analytical and problem-solving abilities; addressing real-world business issues
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, or a related discipline, Over 5 years of practical experience in data science, analytics, or statistical modeling roles, analytical and problem-solving abilities, Python, SQL, Machine Learning
Nice to Have
Experience in fintech, SaaS, analytics consulting, or data-driven product companies, exposure to cloud platforms such as AWS, GCP, or Azure, Experience with big data technologies like Spark, familiarity with NLP, text analytics, or behavioral analytics
What You'll Do.
Examine datasets to uncover trends
Develop predictive and statistical models
Conduct exploratory data analysis
Create analytical frameworks and dashboards
Derive actionable insights from data
Design and execute experiments
Prepare data-driven storytelling presentations
Enhance data quality and processes
Document methodologies and workflows
How You'll Work.
Team & Collaboration
Collaborate closely with product, business, operations, and engineering teams; communicate analytical results to technical and non-technical audiences
Communication Scope
communicate analytical results to both technical and non-technical audiences; Excellent communication and stakeholder management skills; present insights clearly
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