Manager, Data Science - Emerging ML Job at Capital One (McLean)

Manager, Data Science - Emerging ML

Manager, Data Science - Emerging ML. Data is at the center of everything we do. ...

Location

United States , McLean

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Job Responsibility

Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers
Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention
Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Manager, Data Science - Forecasting

We are seeking a Senior Manager, Data Science to lead the Forecasting team withi...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

12+ years of professional experience delivering data science, machine learning, forecasting, AI, analytics, or decision-support solutions that created measurable business value.
7+ years of experience managing, leading, or formally developing data science, machine learning, AI, analytics, or cross-functional technical teams.
Demonstrated experience setting data science strategy, prioritizing a portfolio of work, managing stakeholder expectations, and leading teams through ambiguous, high-impact business problems.
Deep experience with forecasting, predictive modeling, statistical modeling, probabilistic or Bayesian methods, uncertainty quantification, scenario analysis, experimentation, or optimization.
Experience partnering with machine learning engineering, software engineering, product, program, or platform teams to move models and analytics capabilities from prototype into production or scaled business use.
Experience with modern AI systems, including LLM-powered applications, AI agents, retrieval or information-retrieval systems, evaluation frameworks, guardrails, and human-in-the-loop operating patterns.
Strong analytical and technical fluency with Python, R, SQL, or equivalent tools, and familiarity with modern data science and ML frameworks such as scikit-learn, PyTorch, TensorFlow/JAX, Spark, MLflow, Airflow/Prefect/Dagster, or equivalent technologies.
Familiarity with cloud platforms, enterprise data platforms, model deployment patterns, MLOps, model monitoring, reproducibility, governance, security, privacy, and responsible AI practices.
Strong communication and executive-influence skills, including the ability to explain complex methods, forecast uncertainty, assumptions, model risks, and business implications to technical and non-technical audiences.
Demonstrated ability to hire, coach, mentor, and grow technical talent while fostering collaboration, inclusion, accountability, and a high bar for scientific and delivery excellence.

Job Responsibility

Lead, coach, and develop a team of data scientists, AI/ML scientists, and analytics professionals, establishing clear priorities, high standards, career development plans, and an inclusive, accountable team culture.
Define and own the data science roadmap for enterprise forecasting, simulation, scenario planning, uncertainty quantification, predictive analytics, LLM-enabled applications, and AI-assisted decision support aligned to Amgen's planning, supply, commercial, manufacturing, operations, and patient-focused priorities.
Partner with senior business, product, program, operations, commercial, manufacturing, supply chain, finance, engineering, and AI stakeholders to translate ambiguous planning and decision challenges into prioritized data science initiatives with clear outcomes and measurable value.
Establish rigorous standards for forecast quality, model validation, experimentation, evaluation frameworks, guardrails, explainability, auditability, reproducibility, model monitoring, drift detection, and responsible AI practices in high-impact and regulated business contexts.
Create and maintain measurement frameworks to evaluate forecast accuracy, uncertainty calibration, decision quality, operational efficiency, reliability, user adoption, and business impact
lead build-measure-learn cycles that improve solutions based on real-world performance.
Serve as a senior advisor to stakeholders by communicating forecasts, uncertainty, model assumptions, trade-offs, risks, and recommendations in a clear, actionable way for both technical and executive audiences.
Manage the team portfolio, roadmap trade-offs, resourcing, stakeholder expectations, delivery risks, and dependencies across data science, engineering, product, and business teams.
Identify reusable methods, patterns, platforms, and governance practices that accelerate forecasting and AI decision-support delivery across Amgen and reduce duplication across teams.
Research and evaluate emerging open-source, vendor, and internal tools related to forecasting, decision intelligence, LLMs, AI agents, MLOps, model evaluation, and AI governance for potential application to Amgen business problems.

Fulltime

Senior Manager Data Science & Ai

We are seeking a dedicated Senior Manager Data Science & AI with at least 8 year...

Location

United States , Raceland

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field
8+ years of experience in data science, AI, machine learning, or advanced analytics roles
3+ years of leadership experience
Proven experience leading enterprise AI and ML initiatives from concept through operational deployment
Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques
Experience working with large and complex enterprise datasets
Experience leading technical teams and enterprise-scale initiatives

Job Responsibility

Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
Ensure AI and ML solutions are integrated into enterprise workflows and production systems
Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
Lead and develop data science and ML engineering resources
Ensure responsible, secure, and compliant use of AI technologies and enterprise data

What we offer

Competitive Pay
Comprehensive Benefits Package
Fully Remote Position
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
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
Collaborative and inclusive culture that values innovation and diversity

Fulltime

Manager Data Scientist

This is where we value your strategic mindset, technical expertise and passion f...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

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
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options – 3 days in office arrangement
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

Fulltime

Delivery Consultant- GenAI/ML & Data Science

The Amazon Web Services Professional Services (ProServe) team is seeking a skill...

Location

United States , Mountain View;San Diego;San Francisco;Seattle

Salary:

153600.00 - 239000.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

7+ years of technical specialist, design and architecture experience
5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
7+ years of consulting, design and implementation of serverless distributed solutions experience
5+ years of software development with object oriented language experience
3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
7+ years of external or internal customer facing, complex and large scale project management experience
5+ years of cloud architecture and solution implementation experience
Bachelor's degree, or 7+ years of professional or military experience
8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience

Job Responsibility

Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave

Fulltime

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

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
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options – 3 days in office arrangement
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

Fulltime

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
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
Collaborative and inclusive culture that values innovation and diversity

Fulltime

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Manager, Data Science - Emerging ML

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