Senior Data Scientist

Jobtailor; Melville (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor in Melville, NY is seeking a senior data scientist to design and deploy predictive models for customer behavior and marketing effectiveness. You will build end-to-end data pipelines and contribute to BI tooling for executive decision-making.

The role emphasizes autonomous work, collaboration with IT, and mentoring junior staff, with focus on translating complex analysis into actionable business insights in a US-based environment.

Qualifications

• Bachelor's degree in a relevant field plus 5 years of related experience or advanced degree with 3+ years in analytics.
• Quantitative background with statistical and/or modeling expertise preferred.
• Proficiency in Python, R, SAS, or SQL and experience with data manipulation and modeling pipelines.

Responsibilities

• Design, train, and deploy statistical and machine learning models for propensity scoring, next-best-action, LTV, and churn prediction.
• Build predictive models for personalized marketing campaigns and Segment-of-One experiences.
• Construct forecasting models across sales, customer, channel, and product data.
• Design and evaluate A/B and multivariate tests across digital touchpoints and product ecosystems.
• Build, automate, and maintain scalable data pipelines for large structured and unstructured datasets.
• Cleanse, integrate, evaluate, and extract data from disparate sources.
• Ensure data integrity and reliability for reporting and BI dashboards.
• Analyze complex business issues using mathematical and scientific methods.
• Develop strategic recommendations for leadership.
• Identify customer and market trends and generate business ideas.
• Support product positioning initiatives.
• Translate technical findings into non-technical business insights.
• Develop and code software programs, algorithms, and automated processes.
• Report to a Manager or Senior Manager.
• Mentor or supervise one or two staff members.

Skills

ML Model Development

Statistical Analysis

Data Pipeline Automation

Predictive Modeling

Technical Leadership

Data Manipulation

A/B Testing

SQL

Python

R

Education

Bachelor's in Mathematics/CS/Stats

Advanced degree (MS/PhD)

Tools

Google Analytics (GA4)

Tableau

Power BI

GCP

Adobe Experience Manager

Adobe Target

Magento

SAS

Job description

• Design, train, and deploy statistical and machine learning models for propensity scoring, next-best-action, customer lifetime value, and churn prediction
• Build predictive models for personalized marketing campaigns and Segment-of-One customer experiences
• Construct forecasting models across sales, customer, channel, and product data
• Design and evaluate A/B and multivariate tests across digital touchpoints and product ecosystems
• Build, automate, and maintain scalable data pipelines for large structured and unstructured datasets
• Cleanse, integrate, evaluate, and extract data from disparate internal and external sources
• Ensure data integrity and reliability for reporting, business intelligence dashboards, and executive decision-making tools
• Analyze complex business issues using mathematical, statistical, and scientific methods
• Develop strategic and tactical recommendations for leadership
• Identify and interpret customer and market trends and generate business ideas
• Support product positioning initiatives
• Translate technical findings into non-technical business insights
• Develop and code software programs, algorithms, and automated processes
• Report to a Manager or Senior Manager
• Mentor or supervise one or two less experienced professional staff members

Requirements

• Bachelor's degree in a relevant field or equivalent experience required, plus 5 years of related experience
• Bachelor's degree in Mathematics, Computer Science, Statistics, or a related quantitative field plus 5+ years of relevant industry experience, or Master's/Ph.D. with 3+ years of experience
• Statistical and/or quantitative background preferred
• Advanced proficiency in Python, R, SAS, or SQL
• Experience with complex data manipulation, algorithmic modeling, machine learning architecture, and pipeline development
• Experience building, testing, and deploying machine learning models
• Experience conducting hypothesis testing
• Experience automating data cleansing and integration
• Experience collaborating with IT to deploy analytical solutions into production
• Expertise designing complex A/B tests, power calculations, and geo-lift/incrementality studies
• Experience building predictive customer models for LTV, churn, and segmentation
• Experience with marketing measurement frameworks such as attribution or MMM using advanced SQL and Python
• Technical leadership, data architecture, and governance knowledge
• Ability to work autonomously with minimal direction on complex business problems
• Google Analytics (GA4) preferred
• Familiarity with cloud analytics infrastructure (GCP) preferred
• Tableau and Power BI preferred
• HTML, CSS, and JavaScript basics preferred
• Adobe platforms including AEM, Adobe Target, and Magento preferred
• Ability to mentor, train, and instruct up to two less experienced staff members
• Legally authorized to work in the United States
• Must reside in the United States at the time of hire
• Visa sponsorship is not supported

Core Competencies

Demonstrates expertise in designing and deploying statistical and machine learning models, with a strong focus on predictive analytics for customer behavior and marketing effectiveness. Proficient in data pipeline development and data integrity management to support business intelligence and decision-making.

Highest-signal resume keywords

• Machine Learning Model Development
• Statistical Analysis
• Data Pipeline Automation
• Predictive Modeling for Customer Segmentation
• Technical Leadership

Hard Skills

• Python
• R
• SAS
• SQL
• Statistical Modeling
• Data Manipulation
• A/B Testing
• Machine Learning Architecture
• Data Cleansing
• Algorithm Development

Soft Skills

• Mentoring
• Autonomous Work
• Collaboration

Industry Keywords

• Customer Lifetime Value
• Churn Prediction
• Marketing Measurement Frameworks
• Data Integrity
• Business Intelligence

Tools & Technologies

• Google Analytics (GA4)
• Tableau
• Power BI
• GCP
• Adobe Experience Manager
• Adobe Target
• Magento