Data Scientist

Jobtailor; Melville (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to tackle complex marketing problems using internal CRM and external market data. You will build and deploy predictive models for attribution, customer lifetime value, churn forecasting, and trend analysis with Python and GCP Vertex AI.

Responsibilities include constructing optimized BigQuery queries, automating data pipelines, and creating self-serve dashboards in Tableau.

Qualifications

• Bachelor's degree required in Finance or Mathematics
• 3 to 5 years of related experience
• Statistical and strong analytical skills
• Microsoft Excel/Google Sheets proficiency and data analysis techniques
• Programming skills in Python and SQL
• Experience with data tools such as Python, SAS or SQL preferred
• BigQuery experience
• Proven Generative AI work experience

Responsibilities

• Analyze complex marketing and consumer behavior problems using CRM, web and sales data
• Build, evaluate and deploy predictive models for attribution, LTV, churn forecasting and trend analysis
• Construct optimized BigQuery queries and manage complex datasets
• Cleanse, integrate and automate pipelines for disparate marketing data streams
• Build self-serve analytics dashboards in Tableau for cross-functional teams
• Guide marketing strategy and adoption of Gemini and generative AI
• Present findings through visualizations and recurring reports
• Conduct A/B tests and design experiments to validate hypotheses

Skills

Predictive Modeling

Data Visualization

Machine Learning

BigQuery Experience

Generative AI Expertise

Education

Bachelor's degree in Finance

Bachelor's degree in a relevant field

Tools

Tableau

Power BI

NotebookLM

Looker

Google Workspace Studio

Google Apps Script

Excel

GCP Vertex AI

SAS

Spark

Job description

• Analyze complex marketing and consumer behavior problems using internal CRM, web and sales data and external market and advertising-platform data
• Build, evaluate and deploy predictive models for attribution, customer lifetime value, churn forecasting and trend analysis using Python and GCP Vertex AI
• Construct optimized BigQuery queries and manage complex datasets
• Cleanse, integrate and automate pipelines for disparate marketing data streams
• Build self-serve analytics dashboards in Tableau for cross-functional marketing teams
• Guide marketing strategy and adoption of Gemini and generative AI
• Use Google Workspace Studio and NotebookLM to compile, synthesize and centralize marketing intelligence and research
• Design and configure customized Gems, AI solutions and AI agents for copywriting, campaign analysis, translation and marketing operations
• Automate workflows across Sheets, Gmail, Docs and Calendar using Google Apps Script
• Gather, clean, transform and preprocess structured and unstructured datasets
• Handle missing data, anomalies and feature engineering
• Analyze sales, marketing and operations data
• Forecast trends and outcomes and recommend actions based on model outputs
• Identify trends, patterns and anomalies and explain performance changes
• Use Python, R, SQL, TensorFlow, Scikit-learn, Spark and Hadoop as needed
• Present findings through visualizations, dashboards and recurring reports using Power BI, Tableau and Looker
• Conduct A/B tests and design experiments to validate hypotheses
• Ensure data consistency and reliability and validate reports and metrics
• Work across Canon business units and departments to develop business insights and predictive results for executive decisions

Requirements

• Bachelor's degree in a relevant field or equivalent experience required
• Bachelor's degree required in Finance or Mathematics
• 3 to 5 years of related experience
• Statistical and strong analytical skills
• Thorough knowledge of MS Office
• Experience with data tools such as Python, SAS or SQL preferred
• Statistical and/or quantitative background preferred
• Functional knowledge of analytical tools and report creation technologies preferred
• Programming skills in Python and SQL
• Machine learning and statistics
• Data visualization with Tableau, Power BI, Matplotlib or Looker
• Data wrangling and preprocessing
• Excel/Google Sheets and data analysis techniques
• BigQuery experience
• Proven Generative AI work experience
• Expertise in NotebookLM and Google Workspace Studio
• Must be legally authorized to work in the United States
• Must reside in the United States at the time of hire
• Visa sponsorship is not provided

Core Competencies

Demonstrates expertise in data analysis, predictive modeling, and machine learning using Python and SQL, with a strong focus on data visualization and marketing strategy. Proficient in building self-serve analytics dashboards and automating workflows across various Google Workspace tools.

Highest-signal resume keywords

• Predictive Modeling
• Data Visualization
• Machine Learning
• BigQuery Experience
• Generative AI Expertise

Hard Skills

• Python
• SQL
• Machine Learning
• Data Visualization
• Statistical Analysis
• Data Wrangling
• Predictive Analytics
• BigQuery
• A/B Testing
• Feature Engineering

Soft Skills

• Analytical Skills
• Communication Skills
• Collaboration

Industry Keywords

• Marketing Analytics
• Consumer Behavior
• Data Consistency
• Trend Analysis
• Campaign Analysis

Tools & Technologies

• Tableau
• Power BI
• Google Workspace Studio
• NotebookLM
• Google Apps Script
• Looker
• Excel
• GCP Vertex AI
• SAS
• Spark