Top 3470 Statistics manager Jobs

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Engineering Manager
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Implementation Program Manager

Baxter -
Charleston, SC

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Job Details

Full-time

Benefits

Health insurance
Paid time off
Employee assistance program

Qualifications

AI models
Application Integration
Business financial process improvement
Financial forecasting
Accounting systems
Data visualization software proficiency
Financial model construction
Balance sheet
Operations transformation
Business intelligence report generation
Generative models
Process improvement
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Dynamic financial modeling
Pandas
Technical solutions implementation
Business intelligence tools
Machine intelligence
Bachelor's degree
Model deployment
Developing large-scale AI models
Predictive analytics projects
Financial forecasting analysis
AI-driven automation
Machine learning libraries
Cross-functional collaboration
Machine learning frameworks
Implementing IT solutions
Project stakeholder communication

Full Job Description

Req # 202526 Location Charleston, South Carolina, United States Job Category Information Technology Date posted 06/17/2026

Overview

This is where we value your strategic mindset, technical expertise and passion for innovation. If you are someone who has the ability to transform strategies into actionable plans while also demonstrating empathy and a willingness to assist others, this might be the right opportunity for you. Your contributions will make a significant impact on Baxter's mission to save and sustain lives.

Paid Time Off
Employee Health & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program

Success Profile

What makes a successful Information Technology team member at Baxter? Take a look at some of the top traits we’re looking for and see if you’re a fit.

Strategic Business Partner
Communicator
Curious
Results driven
Collaborative
Problem Solver

This is where your work makes a difference.

At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job—you will find purpose and pride.

Manager Data Scientist

Job Description

Experience : 12+ Years

Location : Gurgaon, India

Employment Type. : Full-Time

1. About the Role

We are seeking an exceptional Data Scientist to join our dynamic Data Science team at BAXTER India. This strategic role will be instrumental in transforming our business functions through Advanced Analytics, Machine Learning, Agentic AI and data-driven insights.

As a key member of Data Science team, you will leverage cutting-edge data science techniques to optimize financial forecasting, enhance budget planning accuracy, and drive strategic decision-making across the organization. Your work will directly contribute to BAXTER's various transformation programs and operational excellence in the healthcare sector.

2. Key Responsibilities

Financial Analytics & Forecasting

Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management.
Build automated business process optimization model and reporting systems using AI.
Design variance analysis frameworks to identify key drivers of financial performance.
Conduct scenario analysis and sensitivity modelling for strategic initiatives.
Present findings and recommendations to senior leadership and stakeholders.
Establish data quality standards and governance frameworks for financial analytics.
Drive innovation by evaluating and implementing emerging AI/data science technologies.
Mentor junior team members and foster a culture of data-driven decision making.
Partner with business leaders to translate complex financial data into actionable insights.

3. Qualifications

a) Experience

Minimum 12+ years of progressive experience in AI/Data Science.
At least 8 to 10 years of hands-on experience in building AI /ML models for Financial domain.
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance.
Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc).
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams.
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics.
Experience in enterprise grade implementation of cutting edge Agentic AI solution.
Taking ownership spans the entire AI delivery lifecycle for project, encompassing the orchestration of multi-agent workflows, Retrieval-Augmented Generation (RAG) architectures, and high-performance LLM integration pipelines.
Taking responsibility for AI tech stack selection, governance, and the mitigation of stochastic drift or model hallucinations.
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs) at enterprise level.
Also handling stakeholder management- navigate diverse executive expectations, ensuring that technical innovation directly translates into measurable ROI.

b) Core Technical Skills

Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required).
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods.
Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications.
Implementation of End to End enterprise level Agentic AI Solution experience.
Data Visualization: Power BI, Tableau, matplotlib, seaborn, plotly .
Cloud platforms :AWS/Azure/GCP/OCI experience.

c) Domain Experience

Strong understanding of financial domain and understanding of optimization methods for various business processes: forecasting, variance analysis, financial modelling.
Knowledge of financial statements (P&L, Balance Sheet, Cash Flow) and key metrics.
Experience with healthcare/pharmaceutical industry financial operations (preferred).
Familiarity with regulatory compliance and data privacy requirements in healthcare industry/ finance.
Experience in various business process optimization through AI.
Ability to explain complex ML model outputs to cross functional teams and stakeholders without "black box" ambiguity.

d) Education

Bachelor's degree in Computer Science, Information Technology, or related technical field (required).

4. Nice to Have

Experience with healthcare industry-specific challenges with FP&A domain Knowledge .

Experience with financial systems (SAP, Oracle, workday, or similar).
Hands-on expertise in building autonomous AI agents and implementing the Model Context Protocol (MCP) for seamless data-tool integration.

Experience in agile/scrum methodologies and project management.
Strong business acumen with ability to translate core technical concepts for non-technical stakeholders.

5. What We Offer

Compensation & Benefits

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects

Work Environment

State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options – 3 days in office arrangement.

Making an Impact

Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

Recruitment Fraud Notice

Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

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Refine Your Search

statistics manager jobs

Implementation Program Manager

Analytics Manager

Analytical Section Supervisor (LAB RSCH SUPV 2)

Senior Policy Analyst (Supervisor)

Flight Test Engineering Analyst/Manager

Data Science Manager - AI Trainer

Wealth Manager - AI Trainer

Supervising Actuary - Foreign Casualty

ACL & Credit Portfolio Manager

Quantitative Modeling –Interest Rate Derivatives- Manager

Maintenance Engineering Manager

Transaction Manager Mortgage Due Diligence

Manager Biostatistics

Engineering Manager

Sr. Manager, QRM Development

Senior Manager, Statistical Programming (Remote)

Sr. Manager, Statistics

Regional Pricing Manager (965)

Manager, AI Solutions

Manager, Contact Center - Planning and Forecasting

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