Data Scientist - Personalization & Forecasting

Aumni; New York (NY); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

On-site wellness centers

Tuition reimbursement

Mental health support

Job summary

Chase in New York is seeking a data science professional to lead analytics initiatives across product, sales, operations, and technology teams. You will deliver model strategy roadmaps to improve forecast accuracy and budgeting, and craft data stories and presentations for senior leaders.

Collaborating with Sales, Operations, and Product, you will translate business needs into analytics solutions, refresh a library of reports, and communicate trends across merchant categories and consumer

Qualifications

• Master's degree in statistics, mathematics, information science, or related field with 3 years of experience.
• Strong SQL querying and data manipulation for BI purposes.
• Experience developing ML models (regression, time series, XGBoost, random forest) and forecasting.

Responsibilities

• Develop analytics to drive customer engagements through personalization and targeting.
• Deliver model strategy roadmaps and forecast accuracy enhancements.
• Prepare and present insights to senior leaders and stakeholders.

Skills

SQL queries

Python scripting

Machine learning models

Time series forecasting

Forecasting & budgeting

Data visualization

Executive presentations

PowerPoint

Snowflake

AWS Athena

Education

Master's degree in Statistics, Mathematics, Information Science, or Business Analytics or related field

Tools

Excel

Microsoft PowerPoint

PitchPro+

Job description

Chase in New York is seeking a data science professional to lead analytics initiatives across product, sales, operations, and technology teams. You will deliver model strategy roadmaps to improve forecast accuracy and budgeting, and craft data stories and presentations for senior leaders.

Collaborating with Sales, Operations, and Product, you will translate business needs into analytics solutions, refresh a library of reports, and communicate trends across merchant categories and consumer