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clinical data scientist

ind senior data scientist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 What you'll do...
 
 
 
 About the Team:
 
 
 
 Last Mile Strategy &amp; Science Team is a cross-functional team driving Walmart&rsquo;s last-mile innovation by combining strategic thinking, advance analytics and data science, and operational excellence. We design and execute strategic initiatives, develop metrics and performance frameworks, and build AI-enabled insight engines that help identify opportunities, guide decisions, and drive execution at scale.
 
 
 
 What You'll do:
 
 
 
 <ul>
 <li>
 Analyze complex business problems related to cost-to-serve optimization, delivery speed, customer and driver experience.
 </li>
 <li>
 Conduct scoping, research, and quantitative analysis, including scenario modelling, experimentation, and business case development.
 </li>
 <li>
 For candidates with a data-science focus: design and deploy predictive models, ML algorithms, simulations, and AI-enabled tools to optimize driver supply, batching, routing, and catchment strategies.
 </li>
 <li>
 For candidates with a strategy focus: drive problem-framing, solution design, and pilot execution, translating data-driven insights into scaled operational initiatives.
 </li>
 <li>
 Collaborate with cross-functional partners (Operations, Finance, Tech, Product) to align on priorities and execute initiatives.
 </li>
 <li>
 Build and maintain KPI definitions, dashboards, and reporting frameworks to track progress and ensure visibility of outcomes.
 </li>
 <li>
 Present clear, data-driven insights and recommendations to leadership, influencing decision-making and guiding trade-offs.
 </li>
 <li>
 Contribute to a culture of rigorous problem-solving, innovation, and continuous improvement.
 
 
 </li>
 </ul>
 
 What You'll bring:
 
 
 
 <ul>
 <li>
 4&ndash;9 years of relevant experience:
 </li>
 <ul>
 <li>
 Strategy Track: management consulting or corporate strategy / business operations.
 </li>
 <li>
 Data Science Track: hands-on experience in data science / advanced analytics; MS/PhD in Data Science, Compute Science, Operational Research (preferred)
 </li>
 </ul>
 <li>
 Strong analytical and problem-solving skills; ability to structure ambiguous problems and derive actionable insights from large datasets.
 </li>
 <li>
 Proficiency in tools relevant to your focus area:
 </li>
 <ul>
 <li>
 Strategy: Excel / SQL / visualization tools (preferred).
 </li>
 <li>
 Data Science: Python (or R), SQL, cloud-based data platforms (e.g., Big Query, GCP, Azure), plus experience with experimentation and distributed computing (e.g., Spark, Hive).
 </li>
 </ul>
 <li>
 Capacity to thrive in a fast-paced, evolving environment, managing multiple priorities with high attention to detail.
 </li>
 <li>
 Strong collaboration and stakeholder-management skills, with the ability to work closely with both technical and non-technical partners.
 </li>
 <li>
 Excellent written and verbal communication skills for presenting insights and recommendations to senior leaders.
 </li>
 <li>
 (Preferred) Prior exposure to logistics, supply-chain, or last-mile delivery operations.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2348996
</div>

(IND) SENIOR, DATA SCIENTIST

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Tiger Analytics

<div>
 
 Work Location - Chennai, Bangalore, Hyderabad
 
 
 
 
 
 
 About the role:
 
 
 
 As a Analyst or Senior Analyst - BFS, you will work with Clients in Banking &amp; Financial Services, &amp; help translate business problems into unambiguous analytics problem statements and design analytical frameworks to address them. On a typical work day, you could be doing one or more of the following:
 
 <ul>
 <li>
 Collaborate with the team of data scientists and engineers to plan and drive the execution of business solutions
 </li>
 <li>
 Contribute to client presentations, reports, QBRs etc
 </li>
 <li>
 Handle client discussions in structured project settings
 </li>
 </ul>
 
 
 
 
 
 Domain Understanding:
 
 
 <ul>
 <li>
 Awareness of the Banking regulatory landscape
 </li>
 <li>
 Awareness of common AI and automation use cases in BFS (fraud detection using ML, credit scoring, robo-advisors, chatbots). Can identify basic applications of analytics in operations.
 </li>
 <li>
 Knowledge of the concepts in any or multiple use cases like customer segmentation, CLTV, Customer attrition and retention, next best product/cross sell and has had contributed hands on to atleast a part of any of these project if not end to end. Involvement in atleast any one of Model Validation, Model Performance Monitoring and Model Development is desired
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 1-3 years of relevant experience in Analytics projects in BFS domain for any geography
 </li>
 <li>
 At least 1 year of experience working for global Banks or financial services in the area of either Credit, Fraud, Marketing, Operations etc.. on AI or analytics engagements
 </li>
 <li>
 Strong communication &amp; experience in client communication.
 </li>
 <li>
 Awareness of storytelling with PPT &amp; has effectively communicated with clients to understand their basic requirements, communicate status updates, or escalation calls
 </li>
 <li>
 Hands-on experience in preparing
 
 Powerpoint / Google Slides
 
 presentations &amp; presenting them to key stakeholders
 </li>
 <li>
 Hands-on experience with
 
 Excel/ Google Sheets
 
 to review, sanitize, manipulate data
 </li>
 <li>
 Hands-on experience of querying data using
 
 SQL
 
 on traditional RDBMS databases, and/or big data environments such as Hadoop/Hive/Spark.
 </li>
 <li>
 Ability to analyse and visualize data one or more tools such as
 
 Tableau, PowerBI
 
 </li>
 <li>
 Intermediate experience in DS/ML/AI programming tool of
 
 Python
 
 </li>
 <li>
 Exposure to low-code no-code tools GPT, CLausde, Lovable, Gemini
 </li>
 <li>
 Appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used
 </li>
 <li>
 Interpret results from a business viewpoint (the expectation is not a data scientist expert-level proficiency, but a clear conceptual understanding)
 </li>
 <li>
 Ability to leverage analytics to solve structured or unstructured problems and interpret results
 </li>
 </ul>
 
 
</div>

Analyst | Senior Analyst - Banking & Financial Services

Syngene International Limited

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential&mdash;and excitement for the journey ahead.
 
 
 As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
 
 
 At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You&rsquo;ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Formulate approaches to solve problems using well defined algorithms and data sources
 </li>
 <li>
 Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
 </li>
 <li>
 Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
 </li>
 <li>
 Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
 </li>
 <li>
 Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
 </li>
 <li>
 Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
 </li>
 <li>
 Must have at least one additional quarter/semester of school remaining following the completion of the internship
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science INTERN

SMC Ltd

<div>
 
 About Us:
 
 
 
 SMC, Ltd. is a globally recognized premium supplier to the medical market with locations throughout the world. People committed to speed, technology, and exceptional performance are the cornerstone of our organization. Comprised of dedicated people and decades of manufacturing experience, we have continued to experience strong growth and currently have outstanding career opportunities for equally dedicated people.
 
 
 We currently have an exciting opportunity in our Molding department for a Lean Leader at our Devens, MA location.
 
 
 Responsible for effective implementation and management of lean tools, systems, and principles across site operations. Interacts with all levels of personnel throughout the manufacturing facility in the development and deployment of lean methodologies. Provides hands on expertise, leadership, assistance, mentorship, and recommendations across the organization. Requirements include an applicable B.S. degree or equivalent experience successfully applying lean manufacturing techniques manufacturing and transactional processes.
 
 
 
 Essential Job Duties and Responsibilities:
 
 
 
 <ul>
 <li>
 The fundamental purpose of this position is to lead initiatives to improve efficiency, quality, and productivity in all aspects of the organization's operations. This position involves the implementation and supervision of strategies and processes to promote a culture of continuous improvement and ensure the delivery of exceptional results in terms of operational performance through methodologies such as Lean, Six Sigma, among others.
 </li>
 <li>
 Strategy Development
 </li>
 <ul>
 <li>
 Collaborate with senior management to implement operational excellence strategies aligned with organizational goals and industry best practices.
 </li>
 <li>
 Implement continuous improvement strategies using Lean methodologies, Six Sigma and other operational excellence tools.
 </li>
 <li>
 Foster a culture of continuous improvement at all levels of the organization.
 </li>
 </ul>
 <li>
 Project Management:
 </li>
 <ul>
 <li>
 Lead continuous improvement projects in all functional areas of the organization, identifying optimization opportunities and coordinating cross-functional teams to implement effective solutions.
 </li>
 </ul>
 <li>
 Implementation of Methodologies: / Innovation and Continuous Improvement
 </li>
 <ul>
 <li>
 Apply methodologies such as Lean Manufacturing, Six Sigma and Kaizen to eliminate waste, reduce variability and improve operational efficiency in key processes.
 </li>
 <li>
 Identify and implement new technologies and methods to improve productivity and operational efficiency.
 </li>
 <li>
 Facilitate Kaizen sessions, Gemba walk events and other improvement dynamics.
 </li>
 <li>
 Coordinate internal audits of processes and management systems.
 </li>
 </ul>
 <li>
 Data Analysis:
 </li>
 <ul>
 <li>
 Use analytical tools and cutting-edge technologies to collect, analyze, and present relevant data on operational performance, identifying trends, patterns, and areas for improvement that support informed decision-making and continuous improvement.
 </li>
 <li>
 Prepare and submit detailed reports on the operational performance and results of improvement projects.
 </li>
 </ul>
 <li>
 Change Management:
 </li>
 <ul>
 <li>
 Facilitate the adoption of organizational and cultural changes needed to drive operational excellence, providing training, communication, and support at all levels of the organization.
 </li>
 </ul>
 <li>
 Talent Development:
 </li>
 <ul>
 <li>
 Oversee and develop the operational excellence team, providing guidance, training, and resources to foster high performance and career growth.
 </li>
 <li>
 Execute training programs for employees in continuous improvement methodologies and operational excellence.
 </li>
 </ul>
 <li>
 Interdepartmental Relations:
 </li>
 <ul>
 <li>
 Collaborate closely with other departments and functions to identify opportunities for improvement and ensure the effective integration of engineering initiatives across all areas of the organization.
 </li>
 <li>
 Establish and maintain effective relationships with customers, suppliers, and other key stakeholders to ensure smooth collaboration and project success.
 </li>
 </ul>
 <li>
  Lead and implement Lean and continuous improvement initiatives across manufacturing processes.
 
 
 </li>
 </ul>
  Conduct
 
 value stream mapping
 
 , time studies, and process flow analyses to identify and eliminate non-value-added activities.
 
 
  Facilitate
 
 Kaizen events
 
 , 5S programs, and root cause problem-solving sessions.
 
 
  Develop and maintain
 
 standardized work
 
 , work instructions, and visual management systems.
 
 
  Collaborate with cross-functional teams (Production, Quality, Maintenance, Supply Chain, and Engineering) to drive
 
 process optimization and cost reduction
 
 .
 
 
  Monitor and report on key performance indicators (KPIs) such as
 
 OEE, yield, cycle time, and defect rates
 
 .
 
 
  Support
 
 new product introduction (NPI)
 
 by ensuring efficient production layout, material flow, and equipment utilization.
 
 
  Train and coach employees at all levels on
 
 Lean principles and continuous improvement culture
 
 .
 
 
  Participate in
 
 safety and quality improvement initiatives
 
 to ensure compliance with regulatory and company standards.
 
 
  Analyze production data to identify trends, root causes, and improvement opportunities
 
 
 <ul>
 <li>
 Proven experience in implementing Lean Manufacturing tools such as:
 </li>
 <li>
 5S, Kaizen, SMED, Kanban, Poka-Yoke
 </li>
 <li>
 Value Stream Mapping (VSM)
 </li>
 <li>
 Standard Work and Visual Management
 </li>
 <li>
 Root Cause Analysis (RCA) and Problem-Solving (A3, PDCA)
 </li>
 <li>
 Knowledge of Six Sigma methodology (Green Belt or higher preferred).
 </li>
 <li>
 Strong analytical, project management, and facilitation skills.
 </li>
 <li>
 Excellent communication and interpersonal abilities.
 </li>
 <li>
 Proficiency in tools such as MS Office, AutoCAD, and statistical analysis software (e.g., Minitab).
 
 
 </li>
 </ul>
 
 Essential Qualifications:
 
 
 
 <ul>
 <li>
 Demonstrates the ability to lead change and members of the organization.
 </li>
 <li>
 Demonstrates the ability to lead and motivate teams to achieve business goals.
 </li>
 <li>
 Bachelor's degree in engineering or related field preferred.
 </li>
 <li>
 Performance mindset and a passion to improve people, processes and tools.
 </li>
 <li>
 Experience applying lean tools, systems, and principles.
 </li>
 <li>
 Excellent communication.
 
 
 </li>
 </ul>
 At SMC Ltd. we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work&mdash;therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.
 
 
 SMC Ltd. is an equal opportunity employer. M/F/D/V; this organization uses E-Verify.
 
 
 Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.
 
 
 All applicants must be authorized to work in the US
 
 
 #IND
 
 
</div>

Lean Engineer

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