Position: Senior Data Scientist
Job Location: 221 River Street, Hoboken, NJ 07030
Duties:
- Execute on data strategy by understanding the business value and relevance of data and enable customer insights and strategies to routine business problems.
- Understand, perform, and evaluate analytical models and techniques to support and deliver analytical solutions to business problems.
- Engage in code development and testing.
- Write code to develop the required solution and application features through programming languages.
- Leverage business, technical, and data requirements.
- Present to and influence the team and business audience using the appropriate data visualization framework and convey clear messages through business and stakeholder understanding.
Minimum Education and Experience Required:
Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.
Skills Required:
- Experience with complex data processing and manipulation using SQL programming language.
- Experience with data analysis and visualization using R and Python programming languages.
- Experience analyzing customer behavior using statistical models, causal inference, and supervised/unsupervised learning methods.
- Experience creating compelling visualizations and presentations to communicate insights and recommendations effectively to stakeholders and leadership.
- Experience designing and developing processes and frameworks for analytical projects.
- Experience creating predictive models and customer KPIs/metrics to uncover insights on the customer journey.
- Experience developing measurement and automation reporting/dashboard for customer cohort metrics.
- Experience designing A/B tests to identify drivers of customer behavior and using statistical methods to analyze results.
- Experience working with large amounts of data in a cloud environment.
- Experience delivering data-driven insights and recommendations to support customer-centric decision-making processes.
- Experience collaborating with data and technical engineers to scope and define data needs for projects.
Employer will accept any amount of experience with the required skills.
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