Project Manager

Company: EXLService.com, LLC

Location: New York, NY

Position Title: Project Manager

Job Description:

Derive business and data requirements of various business stakeholders and create data tables, pivots, visualizations for in-depth descriptive analysis. Define project deliverables, milestones, success metrics, and technical standards (data sources, modeling approach, validation), ensuring on-time and high-quality delivery. Design, develop, and deploy machine learning models including regression, classification, clustering, and time-series forecasting using analytics tools and techniques like SQL, Python, AI, ML, etc. to address various business problems. Lead data preprocessing, feature engineering, validation, and quality assurance to ensure accuracy and reliability of analytical outputs. Develop automated reporting solutions, interactive dashboards, and KPI monitoring tools using Looker, Power BI, Tableau, or similar visualization platforms and communicate insights that drive measurable outcomes.

Requires Bachelor's degree in Engineering, Technology, Computer Science, Data Science, Statistics, Mathematics or a directly related quantitative field Plus Six (6) years of professional experience.

Must have the following experience:

Five (5) years of experience with:

• Python or R
• Google Suite

Four (4) years of experience with:

• Structured Query Language (SQL)
• Statistical modelling and Machine Learning algorithms like linear regression, logistic regression, decision tress, random forest, AdaBoost, XGBoost, Linear optimization, etc.

Three (3) years of experience with:

• Machine learning frameworks
• Google Cloud Platform (GCP)
• GitHub or GitLab

Two (2) years of experience:

• Looker
• DBT

40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $180,000 per year

To apply: Send resume and cover letter to us.careers@exlservice.com. Must cite job title and code EXL99 in response. This notice is subject to ExlService.com, LLC''s employee referral program. EEO/Minorities/Females/Vets/Disabilities.

• Develop comprehensive email and notifications marketing plans that align with business goals, while also driving engagement, conversion rates, and customer retention.

• Own end-to-end project execution from problem definition through solution delivery, overseeing data pipelines, modeling logic, dashboard development, accuracy, and stakeholder readiness.

• Optimize database performance, write complex SQL queries, and improve query efficiency for large datasets.

• Deploy machine learning models into production environments using cloud infrastructure (GCP) and implement monitoring for model performance and drift.

• Support deployment, enhancement, and ongoing maintenance of BI solutions in client environments.

• Review analytical outputs for accuracy, performance, and business relevance, ensuring adherence to data quality, governance, and other established best practices.

• Document technical methodologies, transformation logic, model assumptions, validation procedures, and reporting definitions.

• Contribute to business development by shaping technical approaches, estimating effort, defining analytics roadmaps, and supporting account growth.

• Hire, train, and mentor high-performing analytics resources, building technical capability aligned with client needs and long-term scalability.

• Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.

• Develop comprehensive email and notifications marketing plans that align with business goals, while also driving engagement, conversion rates, and customer retention.

• Own end-to-end project execution from problem definition through solution delivery, overseeing data pipelines, modeling logic, dashboard development, accuracy, and stakeholder readiness.

• Optimize database performance, write complex SQL queries, and improve query efficiency for large datasets.

• Deploy machine learning models into production environments using cloud infrastructure (GCP) and implement monitoring for model performance and drift.

• Support deployment, enhancement, and ongoing maintenance of BI solutions in client environments.

• Review analytical outputs for accuracy, performance, and business relevance, ensuring adherence to data quality, governance, and other established best practices.

• Document technical methodologies, transformation logic, model assumptions, validation procedures, and reporting definitions.

• Contribute to business development by shaping technical approaches, estimating effort, defining analytics roadmaps, and supporting account growth.

• Hire, train, and mentor high-performing analytics resources, building technical capability aligned with client needs and long-term scalability.

• Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.