Ey-Parthenon - Strategy And Execution - Growth Platforms - Data Scientist - Director

What Ey Parthenon Strategy And Execution Growt... Showing 5000+ Ey Parthenon Strategy And Execution Growth Platforms Data Scientist Director jobs in New York Sorry to hear that! What didn’t you like about this job? Wrong location Too few details / Lack of information Job appears outdated Salary information missing or unclear Other (please specify). Please specify... Verification * Thank you for your feedback Your input helps us improve our service. Data Scientist 10918 Chester ManpowerGroup Posted 1 day ago Job Viewed Tap Again To Close Job Description Our client, a leading organization in the media and advertising industry, is seeking a Data Scientist to join their team. As a Data Scientist, you will be part of the Data Analytics Department supporting marketing, sales, and leadership teams. The ideal candidate will have analytical thinking, strong communication skills, and a proactive mindset, which will align successfully in the organization.

• Job Title:* Data Scientist
• Location:* Chester, New York
• Pay Range:* $100,000 - $135,000
• What's the Job?*

Collaborate with multidisciplinary teams to analyze large datasets for evaluating and enhancing products, services, and customer programs. Design, test, and implement data-driven solutions including reporting, auditing, and preparing databases for statistical analysis. Build and deploy machine learning algorithms to develop predictive models that improve customer experience and business outcomes. Create visualizations and reports to communicate insights effectively to stakeholders. Monitor and optimize model performance, ensuring data accuracy and reliability in production environments. *What's Needed?* Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field; Master's degree preferred. At least 3 years of hands‑on experience as a Data Scientist, with proven expertise in machine learning and statistical analysis. Strong skills in Python, SQL, and database management. Experience working with data architectures and visualization tools such as OBIEE or Tableau; additional experience with QlikSense or Power BI is a plus. Excellent communication skills and the ability to manage multiple projects independently. *What's in it for me?* Opportunity to work on innovative projects that impact business strategies and customer experiences. Collaborate with a talented and diverse team of professionals. Develop your skills in advanced machine learning and data analysis techniques. Work in a dynamic environment that encourages growth and continuous learning. Competitive salary package aligned with your expertise and experience. **About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions.** Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought‑after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law. Is this job a match or a miss? This advertiser has chosen not to accept applicants from your region. About the Role Canon USA in Melville, NY is currently seeking a Data Scientist, a developing professional, working towards full proficiency. This position works across the company with all Canon business units and departments. In this role a candidate will gather data from a variety of internal and external sources, clean and amalgamate the data, and use programming, math, statistical and analytical skills to interpret data. The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs. Your Impact Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources . Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI). Data Engineering & Cloud Databases: Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams. Self‑Serve Analytics & Visualization: Empowers cross‑functional marketing teams by building dynamic, self‑serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights. Generative AI & Automation Hubs: Guides the marketing division's understanding, strategy, and adoption of Gemini and Gen AI . Leverages Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research. AI Agents & Customs Bots: Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks like copywriting, campaign analysis, and translation. Evaluates and deploys AI Agents to optimize marketing operation. Workspace Automation: Facilitates the team's operational migration to Google Workspace. Automates cross‑app marketing workflows (linking Sheets, Gmail, Docs, and Calendar) using Google Apps Script to eliminate manual bottlenecks. Data Collection/Preparation & Data Analysis/Reporting: Gather large, structured and unstructured datasets. Clean, transform, and preprocess data for analysis. Handle missing data, anomalies, and feature engineering. Analyze business data (sales, marketing, operations). Predictive & Prescriptive Insights: Forecast trends and outcomes (e.g., churn, sales predictions), Recommend actions based on model outputs. Identify trends, patterns, and anomalies. Answer questions like: #J-18808-Ljbffr EY-Parthenon