Senior Data Scientist, Integrated Supply Chain Job at Baxter (Mississauga)

Senior Data Scientist, Integrated Supply Chain

Baxter Healthcare Corporation offers an outstanding chance to create a real diff...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s degree in math, statistics, engineering, or a related STEM field, or equivalent experience
Demonstrated excellent leadership, interpersonal, and critical thinking skills
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience
Proven track record working in cross-functional product/engineering environments
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards
Establish and maintain business insight communication flows for different levels of the organization

What we offer

Paid time off
Employee health and wellness benefits
Continuing education/Professional development
Parental support
Employee assistance program

Fulltime

Senior Data Scientist, Integrated Supply Chain

This is where your work makes a difference. At Baxter, we believe every person—r...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in math, statistics, engineering, or a related STEM field, or equivalent experience.
Demonstrated excellent leadership, interpersonal, and critical thinking skills.
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience.
Proven track record working in cross-functional product/engineering environments.
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes.
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills.

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges.
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making.
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems.
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making.
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards.
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost.
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy.
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards.
Establish and maintain business insight communication flows for different levels of the organization.

What we offer

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

Fulltime

Senior Data Scientist, Integrated Supply Chain

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

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in math, statistics, engineering, or a related STEM field, or equivalent experience
Demonstrated excellent leadership, interpersonal, and critical thinking skills
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience
Proven track record working in cross-functional product/engineering environments
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards
Establish and maintain business insight communication flows for different levels of the organization

What we offer

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

Fulltime

New

Principal Machine Learning Engineer - Forecasting

We are seeking a Principal Machine Learning Engineer to join the Forecasting tea...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Degree and 12+ years of experience in machine learning engineering, software engineering, data science engineering, or a related quantitative discipline.
10+ years of professional experience building, deploying, and operating production ML, AI, data, or software systems, including significant experience as a technical lead on complex, cross-functional initiatives.
Demonstrated track record of designing or architecting new and existing systems with emphasis on reliability, scale, security, maintainability, and operational excellence.
Deep hands-on experience with the full ML engineering lifecycle, including data pipelines, feature engineering, experimentation, model training, model integration, testing, deployment, monitoring, evaluation, observability, and continuous improvement.
Strong experience deploying forecasting, probabilistic, Bayesian, predictive, NLP, deep learning, or LLM-based systems in production environments.
Experience building or integrating AI systems, including LLM-powered applications, agentic workflows, retrieval or information-retrieval systems, evaluation frameworks, and human-in-the-loop review patterns.
Strong object-oriented programming skills in Python and SQL, with experience using modern ML and software development frameworks such as scikit-learn, PyTorch, TensorFlow/JAX, Spark, Ray, MLflow, Airflow/Prefect/Dagster, FastAPI, or equivalent technologies.
Experience with cloud platforms and distributed systems, including containerization, CI/CD, infrastructure-as-code, model serving, workflow orchestration, batch and streaming data processing, and production support.
Strong software engineering fundamentals, including system design, architecture trade-off analysis, testing strategies, code reviews, source control, build and release processes, performance optimization, and maintainability.
Demonstrated ability to communicate technical strategy, system tradeoffs, and delivery risks to technical and non-technical stakeholders, including senior leaders, product/program owners, scientists, and business partners.

Job Responsibility

Define and drive the technical strategy for enterprise forecasting and AI decision systems, aligning architecture, reusable platforms, and delivery roadmaps to Amgen's planning, supply, commercial, manufacturing, operations, and patient-focused priorities.
Partner with data scientists, product and program leaders, operations, commercial, manufacturing, supply chain, finance, and other business stakeholders to translate ambiguous requirements into shipped software and measurable business outcomes.
Architect, build, and scale production ML, LLM, and agentic AI systems that combine forecasting, predictive analytics, simulation, optimization, and autonomous or semi-autonomous workflow automation.
Productionize advanced statistical, Bayesian, deep learning, and machine learning models, including training, validation, inference, serving, evaluation, lifecycle management, and governed deployment.
Lead development of AI agent components that automate complex forecasting and operational workflows across multiple systems, decision points, datasets, and user groups while preserving appropriate human-in-the-loop review and escalation patterns.
Design secure integrations across enterprise APIs, databases, analytics platforms, workflow systems, cloud services, and AI orchestration patterns to enable multi-system decision support and scalable automation.
Establish robust MLOps and AI engineering capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, observability, drift detection, service-level reliability, rollback strategies, and operational runbooks.
Implement guardrails, model and agent evaluation frameworks, auditability, explainability, responsible AI controls, and human-in-the-loop operating models for production AI systems in high-impact and regulated business contexts.
Research and evaluate state-of-the-art open-source, vendor, and internal tools related to forecasting, LLMs, AI agents, MLOps, model optimization, model serving, and scalable AI infrastructure for potential application to Amgen business problems.
Provide principal-level technical mentorship, design review leadership, and engineering standard-setting across teams, promoting code quality, documentation, reproducibility, testing, security, privacy, maintainability, and operational excellence.

Fulltime

Senior Project Manager

As a Senior Project Manager, you are passionate about experience innovation and ...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Minimum 5 years of professional project management experience, with a demonstrable track record of delivering Data, Analytics, or AI/ML solutions end-to-end
Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline. Master's degree or MBA is a plus
Proven delivery experience across at least two of the following verticals: Automotive, Agriculture, Manufacturing (e.g., IoT/telematics, smart farming, Industry 4.0, MES integration, predictive maintenance, computer vision on the factory floor)
Strong working knowledge of modern data and AI technologies, including cloud data platforms (Azure, AWS, or GCP), data pipelines, MLOps, and at least foundational familiarity with generative AI and LLM-based solutions
Hands-on experience leading Agile (Scrum/Kanban) and hybrid delivery teams, including distributed and offshore squads
Excellent stakeholder management skills-comfortable engaging C-level sponsors, plant managers, R&D heads, and technical specialists with equal credibility
Strong commercial acumen: budget ownership, vendor management, SOW shaping, and change control
Demonstrated ability to navigate ambiguity, prioritize ruthlessly, and drive outcomes in environments where data maturity varies significantly
Excellent written and verbal communication skills, including the ability to translate technical concepts for non-technical audiences

Job Responsibility

Delivery leadership: Lead the full lifecycle of Data & AI projects-discovery, design, build, deployment, and adoption-across multiple concurrent engagements
Planning & execution: Develop and maintain detailed project plans, budgets, RAID logs, and resource forecasts
manage scope, timelines, and dependencies using Agile, Waterfall, or hybrid approaches as appropriate
Stakeholder management: Serve as the primary point of contact for client executives, product owners, and technical leads
clearly communicate progress, risks, trade-offs, and value realization
Cross-functional coordination: Orchestrate work across data engineers, data scientists, ML engineers, architects, business analysts, and domain SMEs to deliver integrated outcomes
Industry contextualization: Apply working knowledge of Automotive, Agriculture, and Manufacturing operations (e.g., connected vehicle data, precision agriculture, predictive maintenance, supply-chain analytics) to shape delivery and de-risk execution
Governance & quality: Enforce delivery standards, model governance, data quality, security, and responsible-AI practices in line with organizational and regulatory requirements
Commercial accountability: Track financials against forecast, manage change requests, identify upsell opportunities, and ensure margin and utilization targets are met
Continuous improvement: Run retrospectives, capture lessons learned, and contribute to internal delivery playbooks, estimation models, and capability uplift

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Principal Hardware Technical Program Manager - Quantum

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...

Location

Germany , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND proven experience in engineering, physics or a related STEM field, product/technical program management, data analysis, or product development OR equivalent experience.
Demonstrated experience managing large-scale, interdisciplinary hardware technology projects from concept to delivery, including system integration, cross-functional team leadership, and coordination across multiple teams.
Deep knowledge of hardware product development lifecycle, with demonstrated ability to oversee complex programs involving R&D and new technology introduction.
Proficiency in program management methodologies, including Agile, Azure DevOps, or similar frameworks.
Proven data-driven decision making, issue tracking, schedule management, and reporting skills.
Demonstrated ability to communicate complex technical concepts clearly and appropriately at all organization levels, including executive audiences and non-technical stakeholders, and to work effectively in a highly collaborative, fast-paced, and ambiguous environment.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development.
Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval.

Job Responsibility

Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success. Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives.
Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals. Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines.
Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions.
Customer Feedback: Use input from internal and pilot customers to improve hardware and processes. This includes potential customers from US Government.
Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout.
Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance.
Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team.
Other: Embody our Culture and Values.

Fulltime

Principal Hardware Technical Program Manager - Quantum

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 6+ years experience in engineering, physics or a related STEM field, product/technical program management, data analysis, or product development OR equivalent experience
3+ years of experience managing cross-functional and/or cross-team projects
3+ years of experience managing large-scale, interdisciplinary hardware technology projects from concept to delivery, including system integration, cross-functional team leadership, and coordination across multiple teams
Ability to meet Microsoft, customer and/or government security screening requirements
Ability to apply AI to accelerate engineering and lab workflows
Ability to evaluate agentic solutions with measurable metrics and humanintheloop safeguards following Microsoft Responsible AI requirements for generative AI

Job Responsibility

Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success
Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives
Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals
Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines
Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions
Customer Feedback: Use input from internal and pilot customers to improve hardware and processes
This includes potential customers from US Government
Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout
Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance
Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team

Fulltime

Principal Hardware Technical Program Manager

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...

Location

United States , Santa Barbara

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
6+ years of experience managing cross-functional and/or cross-team projects
Ability to meet Microsoft, customer and/or government security screening requirements
Ability to apply AI to accelerate engineering and lab workflows
Ability to evaluate agentic solutions with measurable metrics and humanintheloop safeguards following Microsoft Responsible AI requirements for generative AI

Job Responsibility

Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success
Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives
Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals
Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines
Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions
Customer Feedback: Use input from internal and pilot customers to improve hardware and processes
This includes potential customers from US Government
Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout
Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance
Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team

Fulltime

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Senior Data Scientist, Integrated Supply Chain

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