supply chain data scientist

AIONEERS

<div><h4 class="jobSectionHeader"><b>ABOUT US</b></h4><p></p><div>
aioneers is a digital first supply chain management consulting firm, headquartered in Germany. We use state of the art cloud data technology and decades of supply chain consulting experience to deliver innovative decision intelligence solutions to our customers.</div><p></p><h4 class="jobSectionHeader"><b>
YOUR ROLE AT AIONEERS</b></h4><p></p><p>
As a <b>Senior Data Scientist</b>, you will be a pivotal member of the Data Science team at <b>aioneers</b>, leading the implementation of data science workstreams within our supply chain analytics projects. These projects often involve solving complex supply chain problems such as <b>demand forecasting, multi-echelon inventory optimization, production scheduling, intelligent order fulfillment, and rough-cut capacity planning (RCCP)</b>.</p><ul><li><p>
You will own the <b>end-to-end lifecycle of machine learning solutions</b>, from data modeling and feature engineering to ML solution design and the implementation of <b>MLOps processes for automated model serving</b>.</p></li><li><p>
You will play the role of a <b>technology architect</b>, designing efficient and scalable MLOps processes for <b>large-scale model deployments and high-frequency serving</b> using <b>Azure data and machine learning services</b>.</p></li><li><p>
You will provide <b>technical leadership and mentorship</b> to junior data scientists and offer <b>thought leadership</b> to solution architects and project managers in designing effective solution architectures for client problems.</p></li><li><p>
You will build <b>heuristics and operations research&ndash;based solutions</b> (e.g., linear programming and discrete optimization) to address optimization challenges in the supply chain domain.</p></li><li><p>
You will also lead <b>data engineering activities</b> within projects, including creating robust data models and feature stores for ML implementations, as well as post-processing pipelines to ensure outputs are <b>business-ready and consumable</b>.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
YOUR PROFILE</b></h4><p></p><h2 class="jobSectionHeader"><b>
Experience Requirement</b></h2><p>
We are looking for someone with <b>4 to 7 years of relevant data science and machine learning experience in solving supply chain problems.</b></p><h2 class="jobSectionHeader"><b>
Data Science and Machine Learning Skills</b></h2><ul><li><p>
Strong understanding of statistical methods (e.g., regression, hypothesis testing) and optimization techniques such as linear programming and mixed-integer programming for supply chain applications.</p></li><li><p>
Strong hands-on experience<b> with tree-based and ensemble methods such as Gradient Boosting, LightGBM, XGBoost, and Random Forests</b> for demand forecasting and other supply chain use cases.</p></li><li><p>
Proficiency in time-series forecasting methods, including ARIMA, SARIMAX, Prophet, and advanced neural network&ndash;based techniques such as LSTMs and Temporal Fusion Transformers.</p></li><li><p>
Familiarity with supervised and unsupervised learning techniques for classification (e.g., demand segmentation) and clustering (e.g., supplier categorization).</p></li><li><p>
Knowledge of CI/CD pipelines for ML, including model retraining, deployment, and monitoring using Azure DevOps or GitHub Actions.</p></li></ul><h2 class="jobSectionHeader"><b>
Supply Chain Domain Knowledge</b></h2><ul><li><p>
Seasoned expertise in demand forecasting using machine learning, with a strong understanding of intermittent, erratic, and lumpy demand patterns and techniques to address them.</p></li><li><p>
Knowledge of EOQ models, reorder point methodologies, safety stock modeling, and inventory simulation techniques is a plus.</p></li></ul><h2 class="jobSectionHeader"><b>
Programming and Technical Skills</b></h2><ul><li><p>
Expertise in setting up end-to-end MLOps processes, including model training, deployment, experiment tracking, and monitoring.</p></li><li><p>
Strong experience in building ETL data pipelines and integrating supply chain data sources, including ERP systems such as SAP via connectors or APIs into Azure.</p></li><li><p>
Experience deploying scalable ML models as APIs using AKS (Kubernetes).</p></li><li><p>
Expertise in handling large-scale supply chain datasets using Spark, Databricks, or Azure Synapse.</p></li><li><p>
Advanced query skills in Azure SQL Database or Cosmos DB for real-time analytics.</p></li><li><p>
Advanced proficiency in Python for ML modeling and data analysis, using libraries such as Scikit-learn, PyTorch, and TensorFlow.</p></li><li><p>
Strong experience with version control and automated deployments using Azure DevOps or GitHub Actions.</p></li><li><p>
Ability to design automation-first pipelines and robust MLOps architectures.</p></li><li><p>
Solid conceptual and practical knowledge of data modeling, feature engineering, model fine-tuning, and statistical validation.</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Exposure to Large Language Models (LLMs) and agentic workflows for automated analysis, insight generation, decision support, or supply chain copilot use cases.</p></li></ul><h2 class="jobSectionHeader"><b>
Educational Background and Culture Fit</b></h2><ul><li><p>
Engineering degree in Computer Science, Informatics, Data Analytics, or related fields.</p></li><li><p>
Strong affinity for new technologies and a drive for independent learning.</p></li><li><p>
Comfort working in an open feedback culture with flat hierarchies.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
WHY AIONEERS?</b></h4><p>
At aioneers, we are building the next generation innovative solutions on supply chain technologies. What we can offer is a wonderful team culture, flexible work hours, respect for your ideas, open discussions / open door policies and attractive remuneration. Your results count and not the hours. You will have the chance to actively participate in the development and execution of innovative business strategies on an international scale.</p></div>

Senior Data Scientist - Supply Chain Management (m/f/d)

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</div><div></div><div><b><br>
About the Team</b></div><div>
Our primary focus is to empower our supply chain and logistics domains. As a Data Scientist, you will be instrumental in driving data-informed decisions; leveraging machine learning and optimization to refine inventory management, streamline fulfillment processes, and provide customers with precise delivery predictions.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Working in a data driven culture and work to create advocates</li><li>
Work on exploratory data analysis so that you can navigate a dataset and come out with broad conclusions based on initial appraisals</li><li>
Proven ability to relate and solve business problems through machine/deep learning, optimization, simulation, and statistics</li><li>
Work in a highly dynamic environment where you see the result of your actions on the business/operation</li><li>
Improve the operational excellence of the fulfillment and delivery teams one step at a time</li><li>
Designs, prioritizes, and manages complex experiments through A/B tests and simulations</li><li>
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions</li><li>
Challenges existing product assumptions and converts learnings into clear, actionable product decisions</li><li>
Synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact</li><li>
Conduct projects end-to-end from early stage research through development, in consultation with stakeholders</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's, Master's Degree or Ph.D. preferably in Industrial Engineering, Computer Science, Statistics</li><li>
2-5 years of proven experience in a variety of machine learning modeling techniques (classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)</li><li>
2-5 years of hands-on experience with optimization models, heuristics, meta-heuristics</li><li>
Hands-on experience in at least one of the programming languages (python, C#, java).</li><li>
Proficiency in SQL is required. ML pipeline design experience is essential.</li><li>
Develop and implement algorithms/heuristics to apply to real-life problems using programming languages</li><li>
Familiar with simulation techniques such as discrete event simulation, real-time simulation, etc.</li><li>
Having a curious mind and love to ask (and answer) &quot;impossible&quot; questions</li><li>
Background in data mining and statistical analysis expressing data-driven thinking skill</li><li>
Experience with delivery services, operations, supply chain, and/or e-commerce is a big plus</li><li>
Excellent written and verbal communication skills in English</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Data Science Professionals (Supply Chain & Logistic)

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
ExxonMobil&rsquo;s affiliates in India</b></h2></div><p></p><div><p><br>
ExxonMobil&rsquo;s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region.</p><p></p><p><br>
ExxonMobil&rsquo;s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics.</p><p></p><p><br>
ExxonMobil&rsquo;s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities.</p><p><br>
The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil&rsquo;s operations around the globe.</p><p><br>
ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework.</p><p><br>
To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What role you will play in our team</b></h2></div><p></p><div><p><br>
We are seeking candidates to tackle challenging problems across ExxonMobil&rsquo;s global supply chain operations including sales and operations planning (S&amp;OP), logistics and Materials management. The ideal candidate will understand both the commercial and technical aspects of supply chain challenges in the Oil &amp; Gas or Energy products (including Chemicals, Fuels) industry, advancing the development of solutions leveraging advanced modeling, ML or AI.</p><p>
Job location is based out of Bangalore, Karnataka</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><br>
<ul><li>
Support all stages of development for advanced analytics (AI, ML based decision support) solutions including</li><li>
Exploratory data analysis<ul><li>
Develop optimized queries using SQL,Alteryx, python to pull large complex datasets from ERP (e.g., SAP, ORACLE) or other SC business applications (Kinaxis, Blue Yonder) for analysis</li><li>
Leverage analytical tools (PowerBI, Tableau, R, python or Dataiku) to identify patterns and generate data driven insights or product ideas that can lead to accelerated business decisions supporting global Supply chain capability team</li></ul></li><li>
Development and deployment<ul><li>
Collaborate with Digital Product Managers and technology development teams (including data engineers, data scientists) to develop, test and build scalable products leveraging AI and advanced analytical models.</li><li>
Work closely with business users (e.g. demand planners, material management) to gather feedback and ensure the analytical models and solutions are tailored for their operational needs</li></ul></li><li>
Change Management &amp; Adoption<ul><li>
Develop and execute rollout plans for digital applications, including training and onboarding for key end users.</li><li>
Develop and track KPIs to monitor performance of predictive (e.g. forecasting models) or prescriptive (simulation, AI based decision tools) models and collaborate with data science teams to ensure models are regularly calibrated and validated.</li></ul></li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader"><b><br>
About You</b></h2></div><div><p><b><br>
Skills and Qualifications</b></p><br>
<p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in operations research or any engineering/science/supply chain discipline from a recognized university with GPA 7.0</li><li>
Minimum 3 years of experience in a business/data analyst or related role primarily supporting global supply chain operations with familiarity of Supply chain concepts like demand planning, inventory optimization, S&amp;OP, logistics, network design.</li><li>
At least 1 year of experience with analytical tools/advanced modeling such as python or R where you have transformed complex sets of data to generate business insights through data analysis, pattern identification or statistical modeling.</li><li>
Familiar with software product development frameworks like agile.</li><li>
At least 1 year of hands-on experience in developing visualization or analysis using analytics tool like power BI, or quicksight or tableau.</li><li>
At least 1 year of experience working in a supply chain function &ndash; planning, logistics, material management.</li><li>
Proven track record of developing and implementing data-driven analyses to improve operational efficiency.</li><li><ul><li>
Strong understanding and hands-on experience with analytics and data visualization tools (e.g., Tableau, Power BI, plotly).</li><li>
Proficiency in programming languages such as SQL, Python or R to do data wrangling and modeling.</li></ul></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Preferred knowledge</b></h2></div><div><ul><li><ul><li>
Exposure to forecasting models, optimization or any supply chain design tools (e.g. Llamasoft)
</li><li>Exposure to machine learning, AI (NLP, LLMs) solutions used in Supply chain industry for predictive and prescriptive analytics.</li><li>
Experience contributing to the development of commercial-grade software applications for supply chain use cases
</li><li>Familiar with software testing and development practices (Agile)</li><li>
Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence
</li><li>Strong problem-solving skills and the ability to work independently and as part of a team.</li><li>
Excellent communication skills, both written and verbal.</li></ul></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Your benefits</b></h2></div><p></p><div><p><br>
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:</p><ul><li><p>
Competitive compensation</p></li><li><p>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</p></li><li><p>
Retirement benefits</p></li><li><p>
Global networking &amp; cross-functional opportunities</p></li><li><p>
Annual vacations &amp; holidays</p></li><li><p>
Day care assistance program</p></li><li><p>
Training and development program</p></li><li><p>
Tuition assistance program</p></li><li><p>
Workplace flexibility policy</p></li><li><p>
Relocation program</p></li><li><p>
Transportation facility</p></li></ul><p></p><p><br>
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Stay connected with us</b></h2></div><p></p><div><br>
<ul><li>
Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.</li><li>
Follow us on LinkedIn and Instagram</li><li>
Like us on Facebook</li><li>
Subscribe our channel at YouTube</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
EEO Statement</b></h2></div><p></p><div><p><br>
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Business solicitation and recruiting scams</b></h2></div><p></p><div><p><br>
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</p></div></div></div><p></p><p><br>
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p></div>

SC Advanced Analytics Advisor

Henkel

<div><div><h4 class="jobSectionHeader"><b>About this Position</b><b>
</b></h4>The Regional Supply Chain Data Analytics Manager will lead all supply chain analytics and digitalization initiatives across the IMEA region. This senior role is responsible for delivering advanced analytics, automation, and AI/ML/DL solutions to optimize end-to-end supply chain performance. The position manages a team of data professionals and partners closely with regional and global stakeholders to drive data-driven decision-making and measurable business impact.<br>
<h4 class="jobSectionHeader"><b>What you&acute;ll do</b><b>
</b></h4><ul><li>Define and lead the regional supply chain analytics and digitalization strategy in alignment with global and regional business priorities.</li><li>
Manage and develop a high-performing team of data scientists and analysts, including coaching, capability building, and effective resource allocation.</li><li>
Oversee the design, development, and deployment of dashboards, predictive models, and advanced analytics solutions.</li><li>
Drive digital transformation and automation initiatives using tools such as Python, R, Power BI, Databricks, SQL, PowerApps, Copilot Studio, and other emerging technologies.</li><li>
Act as a strategic partner to regional and global stakeholders, translating business requirements into scalable analytics solutions.</li><li>
Ensure data governance, quality, compliance, and adherence to corporate standards across all analytics activities.</li><li>
Apply deep understanding of end-to-end supply chain processes to identify opportunities for optimization and innovation.</li></ul>
<h4 class="jobSectionHeader"><b>What makes you a good fit</b><b>
</b></h4><ul><li>Minimum 10 years of relevant experience in supply chain analytics, data analytics, or digital transformation roles.</li><li>
Proven experience leading analytics teams and managing complex initiatives.</li><li>
Strong communication and stakeholder management skills in a matrix organization</li><li>
Strong experience with Power BI, Databricks, SQL, Python, R, PowerApps, and Copilot Studio.</li><li>
Solid understanding of AI/ML/DL concepts and their application in supply chain analytics.</li><li>
Strong understanding of end-to-end supply chain processes.</li><li>
Ability to translate complex data into actionable insights that drive business outcomes.</li></ul>
<h4 class="jobSectionHeader"><b>Some perks of joining Henkel</b></h4><ul><li>
Diverse national and international growth opportunities</li><li>
Global wellbeing standards with health and preventive care programs</li><li>
Gender-neutral parental leave for a minimum of 8 weeks</li><li>
Employee Share Plan with voluntary investment and Henkel matching shares</li><li>
Best-in-class Group Medical Insurance policy covering employee, spouse and up to 2 children</li><li>
Competitive accident and term life policies for up to 3 times annual gross salary</li><li>
Progressive OPD policy of INR 30,000 for employee, spouse and up to 2 children</li></ul>
<p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p></div></div>

Manager SC Analytics IMEA

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2>
We&rsquo;re looking for a Senior Manager, Data Science to lead and create initiatives for future strategies across Walmart&rsquo;s omnichannel supply chain. This is a high-impact, high-visibility role within the organization with expectations to deliver immediate results. In this role, you&rsquo;ll primarily be responsible for creating a long-term strategy and transformative path for Walmart&rsquo;s rapidly growing omnichannel business.<p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2>
<b>Responsibilities</b><br>
<ul><li>Manage and execute entire analytical projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations.</li><li>Build scalable and complex supply chain models and processes to optimize supply chain strategies with the goal of delivering an excellent customer experience while balancing operating cost and asset efficiency.</li><li>Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain, utilizing methods such as statistical analysis, regression modeling, and optimization.</li><li>Identify areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.</li><li>Create and deploy robust metrics and dashboards to enable tangible transformation.</li></ul><br>
<b>
You will thrive in this role if you:</b>
<ul><li>Enjoy working independently to manage multiple projects while ensuring deadlines are met and data output is accurate and appropriate for the business.
</li><li>Can deal with ambiguity and make independent decisions about what data and approach is best for the task at hand.
</li><li>Excel in communicating with individuals and groups at all levels of an organization.
</li></ul><br>
<b>Potential projects include:</b>
<ul><li>Create models to analyze the Supply Chain network needed to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables; opening, closing, or repurposing distribution centers; conduct scenario analysis to evaluate multiple networks designs and impact to customer experience and cost to serve.
</li><li>Develop Inventory Planning and Distribution strategy to optimize cost to serve and improve customer experience and stock availability with a tiered storage network and dynamic real-time distribution network.
</li><li>Develop optimization logic and a tool to determine truckload lane strategy for outbound transportation, balancing cost and SLA requirements.
</li></ul>At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
609 N Walton Blvd, Bentonville, AR 72712-0000, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Senior Manager, Data Science - Ecommerce

Cargill

<div><div><div><h2 class="jobSectionHeader"><b>Job Purpose and Impact</b></h2>
</div><div><p>
The Optimization Scientist will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to the organization's businesses and functions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><ul><li>Continuously seek out best practices and develop skills.</li><li>
Contribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.</li><li>
Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.</li><li>
Take ownership and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.</li><li>
Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.</li><li>
Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor. Other duties as assigned.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2></div><p></p><div><p><br>
MINIMUM QUALIFICATIONS:</p><br>
<p></p><ul><li>
Bachelor&rsquo;s degree in Computer science, Operational Research, Math OR related field OR Equivalent Experience.</li><li>
Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).</li><li>
Strong coding skills in Python (or similar object-oriented programming language).</li><li>
Minimum of 4 years of related work experience.</li></ul><p></p><p><br>
PREFERRED QUALIFICATIONS:</p><br>
<p></p><ul><li>
Three or more years&rsquo; experience in Supply chain</li><li>
Master's degree or PhD in Computer science, Artificial Intelligence, Optimization, Operational Research OR Math OR related field.</li><li>
Professional experience applying optimization for Supply Chain solutions.</li><li>
Experience on Optimizer model development with Gurobi, CPLEX.</li><li>
Experience with scalable Machine Learning (distributed systems, MapReduce, streaming, etc.).
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Disclamer</b></h2>
</div><div><p>
Protect yourself against recruitment fraud. Cargill will not ask for money, processing fees, or bank information as a pre-condition of employment. We are aware that unauthorized individuals may have posed as Cargill recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website.<br>
Learn how to protect yourself from recruitment fraud</p></div></div></div>

Optimization Scientist

MNR solutions pvt.ltd

<p><b>Data Scientist &ndash; ML &amp; AI</b></p><p><b>Location:</b> Hyderabad / Pune<br/><b>Experience:</b> 6&ndash;8 Years<br/><b>Employment Type:</b> Full-time<br/><b>Notice Period:</b> Immediate to 30 Days</p><p><b>Role Overview</b></p><p>We are looking for an experienced <b>ML + Data Science Engineer</b> to build advanced predictive models, optimization solutions, and data-driven systems that support enterprise-scale decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Build <b>forecasting &amp; predictive models</b> (ARIMA, Prophet, LSTM, regression, classification)</li><li>Apply <b>optimization &amp; Deep Reinforcement Learning (DRL)</b> for inventory, routing, and resource allocation</li><li>Perform <b>EDA &amp; feature engineering</b> on large datasets</li><li>Evaluate models and ensure interpretability using <b>SHAP / LIME</b></li><li>Collaborate with AI &amp; engineering teams to deploy models into production workflows</li></ul><p><b>Required Skills</b></p><ul><li>Strong <b>Python</b> (NumPy, Pandas, Scikit-learn, PyTorch / TensorFlow)</li><li>Expertise in <b>time-series forecasting &amp; classical ML</b></li><li>Solid foundation in <b>statistics, probability &amp; optimization</b></li><li>Experience with <b>DRL frameworks</b> (Ray RLlib, Stable Baselines, etc.)</li><li><b>SQL, Spark / PySpark</b> for large-scale data processing</li><li>Bachelor&rsquo;s / Master&rsquo;s in Data Science, ML, CS, Statistics, or related field</li></ul><p><b>Nice to Have</b></p><ul><li>Azure ML &amp; Data Services</li><li>Supply chain / operations analytics experience</li><li>OR-Tools or optimization libraries</li><li>Computer Vision system development</li></ul><p><b>Soft Skills</b></p><ul><li>Strong communication &amp; collaboration skills</li><li>Detail-oriented with excellent follow-up</li><li>Ability to multitask in fast-paced environments</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Scientist – ML & AI

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