supply chain data scientist

<div>
 HP is the world&rsquo;s leading personal systems and printing company, dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion, talent, and curiosity of our people&mdash;each bringing unique perspectives, expertise, and ideas to shape the future of how the world works and lives.
 <br/>
 <br/>
 <strong>
  Join HP&rsquo;s Strategic Planning and Modeling (SPaM) Data Science Team &ndash; Where Vision Meets Impact
  <br/>
  <br/>
 </strong>
 Are you a visionary thinker with a passion for learning and innovation? Join our
 <strong>
  Strategic Planning and Modeling (SPaM) Data Science team
 </strong>
 , where we tackle complex supply chain challenges and drive strategic decision-making through advanced analytics.
 <br/>
 <br/>
 <strong>
  As a Member Of SPaM, You Will
  <br/>
  <br/>
 </strong>
 ✅
 <strong>
  Evaluate
 </strong>
 supply chain investment and improvement opportunities.
 <br/>
 <br/>
 ✅
 <strong>
  Develop
 </strong>
 cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes.
 <br/>
 <br/>
 ✅
 <strong>
  Deliver
 </strong>
 strategic recommendations that shape HP&rsquo;s global supply chain.
 <br/>
 <br/>
 ✅
 <strong>
  Collaborate
 </strong>
 with senior executives to set direction and drive innovation.
 <br/>
 <br/>
 ✅
 <strong>
  Lead
 </strong>
 with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration.
 <br/>
 <br/>
 At SPaM, we bring over
 <strong>
  35 years of supply chain innovation
 </strong>
 . We value flexibility, invest in your growth through
 <strong>
  formal training and mentorship
 </strong>
 , and foster a culture where creativity and data-driven insights power the future.
 <strong>
  If pioneering data-based innovations to transform HP&rsquo;s supply chain excites you, we want to hear from you!
  <br/>
  <br/>
 </strong>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate &amp; Strategize: Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.
  </li>
  <li>
   Drive Supply Chain Innovation: Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.
  </li>
  <li>
   Transform Data into Impact: Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.
  </li>
  <li>
   Build &amp; Scale Advanced Analytics Solutions: Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.
  </li>
  <li>
   Enable Change &amp; Adoption: Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.
  </li>
  <li>
   Stay Ahead of the Curve: Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education And Experience Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration
  </li>
  <li>
   Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
  </li>
  <li>
   7-10 years of experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
  </li>
  <li>
   Applied experience with machine learning and optimization on large datasets
  </li>
  <li>
   Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
  </li>
  <li>
   Experience with GenAI
  </li>
  <li>
   Passion for data science &amp; delivering data-driven outcomes
  </li>
  <li>
   Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return)
  </li>
  <li>
   Demonstrated practical experience in an operational environment
  </li>
  <li>
   Experience implementing and handing off operational analytical solutions to business users
  </li>
  <li>
   Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment
  </li>
  <li>
   Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence
  </li>
  <li>
   Experience with data visualization and data presentation in a clear and effective manner
  </li>
  <li>
   Experience leading, collaborating with, and delivering results in cross-functional teams
  </li>
  <li>
   Familiarity with statistics, forecasting, simulation, and spreadsheet modelling
  </li>
  <li>
   A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability
   <br/>
   <br/>
  </li>
 </ul>
 The base pay range for this role is
 <strong>
  $136,850 to $210,750
 </strong>
 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 HP offers a comprehensive benefits package for this position, including:
 <br/>
 <br/>
 <ul>
  <li>
   Health insurance
  </li>
  <li>
   Dental insurance
  </li>
  <li>
   Vision insurance
  </li>
  <li>
   Long term/short term disability insurance
  </li>
  <li>
   Employee assistance program
  </li>
  <li>
   Flexible spending account
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Generous time off policies, including:
  </li>
  <ul>
   <li>
    4-12 weeks fully paid parental leave based on tenure
   </li>
   <li>
    11 paid holidays
   </li>
   <li>
    Additional flexible paid vacation and sick leave (US benefits overview)
    <br/>
   </li>
  </ul>
 </ul>
 The compensation and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
 <br/>
 <br/>
</div>


Supply Chain Data Scientist

MKS Instruments

<div><p><b>A Day in Your Life at MKS:</b></p><p>
As a Manager, Supply Chain Data Scientist at the Digital Supply Chain Team, you will partner with Procurement, Category Management, Material Planning, Logistics, Finance, Lean Excellence, and IT to play in integral role in the Functional and Technical integration management of our supply chain digital enablement which aim to solve and improve some of the world&rsquo;s most complex supply chain constraints and challenges. You will effectively introduce advanced analytics capability and provide analyzing data approaches to develop and execute analytics projects to enable supply chain operations. Parameters that may be examined will include assessment of analytics solutions, enable analytics solutions, execute data analytics and modeling and generate detailed reports to provide insight to senior leaderships to support decision making. In this role, you will report to the Director, Digital Supply Chain Transformation.</p><p></p><p><b>
You Will Make an Impact By:</b></p><ul><li>
Enabling analytics platform, data integration, and modeling to provide analytics capability to advance supply chain maturity.</li><li>
Collecting, cleaning, and analyzing supply chain data from multiple sources, ensuring data integrity and accuracy.</li><li>
Developing and maintaining dashboards and reports using Power BI or reporting tools to provide actionable insights into supply chain operations.</li><li>
Conducting detailed analysis to assess business operations data and supply chain performance.</li><li>
Collaborating with cross-functional teams, including Sourcing, Category Management, Procurement, Material Planning, Logistics, Finance, and IT, to identify and mitigate supply chain constraints, and to support Robotic Process Automation (RPA) initiatives.</li><li>
Contributing to data science and anayltics projects for supply chain optimization, leveraging predictive/prescriptive analytics and machine learning, for instance.</li><li>
Communicating risk mitigation action plans and improvement ideas to executive stakeholders.</li><li>
Travel Requirements: Up to 15 % of Travel is required.</li></ul><p><b>
Skills You Bring:</b></p><ul><li>
Bachelor&rsquo;s degree in data science, computer science, supply chain management or equivalent experience</li><li>
8+ years of related experience</li><li>
Detailed knowledge of analytics and data analysis tools, platform, and solutions, with a strong proficiency in Power BI, Power Automate, Excel, and SQL. Experience with other BI tools (e.g., Tableau) is a plus.</li><li>
Experience with data science techniques and tools (e.g., AWS, Python, R, Azure AI Studio, machine learning frameworks) and extended knowledge of Gen AI application.</li><li>
Experience with data science techniques and tools (e.g., Python, R, machine learning frameworks) is highly desired.</li><li>
Proven communication skills to engage with senior leadership level.</li><li>
Ability to collaborate with global and cross-functional teams, with a proven track record of taking ownership of issues.</li><li>
Knowledge of or ability to learn details of the semiconductor industry.</li><li>
Proficiency in English.</li></ul><p></p><p><b>
Preferred Skills: (Optional)</b></p><ul><li>
Extended business knowledge and business analytics experience with end-to-end supply chain operations are highly desired.</li><li>
Extended ERP (SAP, Oracle, or others) and advanced planning solution skills and experience are highly desired</li><li>
Experience manage global projects with Agile approaches from initiation to implementations.</li></ul><p></p><p><b>
Physical Demands and Working Conditions:</b></p><ul><li>
Perform activities such as sitting, standing, or typing for extended periods of time</li><li>
Ability to remain in a stationary position for 90% of the time</li><li>
Must be able to communicate information and ideas so others will understand</li><li>
Must be able to exchange accurate information</li><li>
The ability to observe documents and details at close range (within a few feet of the observer)</li><li>
Operates in a [professional office and/or laboratory/manufacturing] environment</li><li>
Constantly operates a computer and other office productivity machinery</li><li>
Ability to observe documents and details at close range (within a few feet of the observer)</li></ul><p></p><p>
Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to various export control regulations. Applicants for these positions may be limited (by, for example, their countries of citizenship, country of origin, or immigration status) where required by law or governmental contact, and/or employment made contingent upon the issuance of appropriate governmental licensing.</p><p></p><p>
MKS Inc. and its affiliates and subsidiaries (&ldquo;MKS&rdquo;) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.</p><p></p><p>
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .</p><p>
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role</p></div>

Principal Supply Chain Data Scientist

Yıldız Tech

<div>
 <p>
  <strong>
   About the job
  </strong>
 </p>
 <p>
  The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our more than 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
  <strong>
   Data Scientist (Operations Research &amp; Optimization)
  </strong>
  to design and implement advanced optimization and decision-support solutions. In this role, you will work on projects such as route optimization, inventory and stock optimization, resource allocation, production scheduling, profit maximization, and other operations research problems. You will collaborate with business and engineering stakeholders to transform complex operational problems into scalable, data-driven optimization solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Awaits You, What Will Be Your Responsibilities?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Researching, designing, implementing, and evaluating optimization algorithms and mathematical models (linear, integer, mixed-integer, nonlinear, stochastic programming, heuristics/metaheuristics, etc.).
  </li>
  <li>
   Developing models to optimize supply chain, logistics, and production planning decisions (e.g., inventory policies, routing, scheduling, resource allocation).
  </li>
  <li>
   Building simulation and what-if analysis tools to support strategic and tactical decision-making.
  </li>
  <li>
   Integrating statistical and machine learning techniques with optimization models &mdash; e.g., using demand forecasting to feed planning models, clustering to enable scalable route optimization and regression models to estimate cost effects.
  </li>
  <li>
   Preprocessing and preparing data from multiple sources to be used in optimization and mathematical modeling.
  </li>
  <li>
   Implementing robust algorithms and ensuring their scalability for large datasets and complex real-world problems.
  </li>
  <li>
   Creating reports, maps and visualizations to communicate model outputs and recommendations effectively.
  </li>
  <li>
   Collaborating with cross-functional teams including operations, supply chain, production, and IT stakeholders to understand requirements and deliver impactful solutions.
  </li>
  <li>
   Staying updated on the latest research and industry practices in operations research, optimization, and applied AI.
  </li>
  <li>
   Documenting methodologies, models, and results in clear, reproducible formats.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What will be the qualifications we expect from you?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BS/MS Degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science/Engineering (or other related quantitative fields).
  </li>
  <li>
   Minimum 3 years of experience in operations research, optimization, or related data science fields.
  </li>
  <li>
   Strong background in mathematical optimization (LP, IP, MIP/MILP, nonlinear optimization, stochastic optimization).
  </li>
  <li>
   Hands-on project experience in areas such as:
  </li>
  <li>
   Routing and scheduling (e.g., VRP, TSP, logistics planning)
  </li>
  <li>
   Production planning and scheduling
  </li>
  <li>
   Inventory and safety stock optimization
  </li>
  <li>
   Resource allocation and assignment problems
  </li>
  <li>
   Proficiency in Python and optimization libraries/tools (e.g., CPLEX, OR-Tools, Pyomo, PuLP).
  </li>
  <li>
   Strong analytical and problem-solving skills with ability to translate business problems into mathematical formulations.
  </li>
  <li>
   Good command of SQL for working with large-scale datasets.
  </li>
  <li>
   Excellent communication skills and ability to work with cross-functional teams.
  </li>
  <li>
   Fluency in English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Which skills will highlight you?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Knowledge of statistical/machine learning methods to complement optimization solutions (forecasting, clustering, regression models, etc).
  </li>
  <li>
   Experience in cloud environments (AWS, Azure) for scalable model deployment.
  </li>
  <li>
   Practical experience with deploying optimization models into production environments.
  </li>
  <li>
   Familiarity with reinforcement learning and its applications in operations optimization.
  </li>
  <li>
   Strong mathematical and analytical mindset with a passion for optimization.
  </li>
  <li>
   Ability to design creative and practical solutions for complex operational problems.
  </li>
  <li>
   Effective communication and collaboration abilities.
  </li>
  <li>
   Hands-on mindset: from problem formulation to model implementation and deployment.
  </li>
  <li>
   Curiosity and eagerness to stay up-to-date with cutting-edge optimization and operations research techniques.
  </li>
  <li>
   Team spirit and adaptability in collaborative environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 </p>
 <p>
 </p>
</div>


Data Scientist (Operations Research & Optimization)

General Mills

<div>Job Description:<p></p><div><div><div><p><br>
</p><div><div><div>Position Title</div><div><br>
Data Scientist II</div><div><br>
Function/Group</div><div><br>
Digital &amp; Technology</div></div><div><div><br>
Location</div><div><br>
Mumbai India</div><div><br>
Shift Timing</div><div><br>
11 AM &ndash; 8 PM</div></div><div><div><br>
Role Reports to</div><div><br>
Manager Data Science</div><div><br>
Remote/Hybrid/in-Office</div><div><br>
Hybrid</div></div><br>
</div><div><p><b>
ABOUT GENERAL MILLS</b></p></div><p></p><p><b><br>
We make food the world loves: 100 brands. In 100 countries. Across six continents. </b>With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H&auml;agen-Dazs, we&rsquo;ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.</p><p>
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
</p><p>us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com</p><p></p><p><br>
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.</p><p>
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in</p><p>
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.</p><div><p><b>
JOB OVERVIEW</b></p></div></div></div><p></p><div><div><p><b><br>
Function Overview</b></p><p></p><p><br>
The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents.</p><p><br>
</p><p>The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the &quot;Work with Heart&quot; philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link</p><p></p><p><b><br>
Purpose of the role</b></p><p></p><p><br>
General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, optimization, price optimization, logistics, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.</p></div></div><p></p><div><p><br>
</p></div><br>
<div><p><b>KEY ACCOUNTABILITIES</b></p></div><div><div><div><b><br>
Deliver on business problems:
</b></div><ul><li>Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.</li></ul><ul><li>Develops AI solutions leveraging the best practices and enables maintainability and scalability.</li></ul><ul><li>Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.</li></ul><ul><li>Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.</li></ul><ul><li>Recognizes opportunities to apply external industry trends and implements them within role.</li></ul><div></div><div><b><br>
Consultation:</b></div><ul><li>Lead Interactions with stakeholders to learn on problem statement and drive results.</li></ul><ul><li>Be an advocate for data science team.</li></ul><ul><li>Constructively challenge the other data scientists on approach</li></ul><ul><li>Contribute to best practices as we evaluate new platforms, tools and pipelines.</li></ul><p></p><div><b><br>
Stakeholder Management:</b></div><ul><li>Manage the assigned priorities, assigned tasks and consistency of execution.</li></ul><ul><li>Develop trust and credibility with business leaders.</li></ul><ul><li>Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.</li></ul><p></p><div><b><br>
Collaboration:</b></div><ul><li>Works on problems of diverse scope.</li></ul><ul><li>Demonstrates good judgment in selecting methods and techniques.</li></ul><ul><li>Networks with senior internal and external personnel in own area of expertise.</li></ul><ul><li>Lead research work to new analytic trends aligned to business.</li></ul><ul><li>Demonstrates learning agility and ability to apply to work.</li></ul><ul><li>Leverage and contribute to new open-source innovation.</li></ul></div></div><p></p><div><p><b><br>
MINIMUM QUALIFICATIONS</b></p></div></div><br>
<p></p><ul><li>
Minimum qualification- bachelor&rsquo;s degree (full time)</li><li>
Total analytics experience required 6-9 Years.
</li><li>Bachelor&rsquo;s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
</li><li>3+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution</li><li>
Proven implementation of ML and AI practices
</li><li>Expertise in supervised ML algorithms,
</li><li>Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.</li><li>
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
</li><li>Bachelor&rsquo;s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.</li></ul><div><b><br>
Must - have technical skills and experience</b></div><div><b>
(Expertise in at least one among section1 and/or section2)</b></div><div><b>
Section1-Operations Research(Optimization and simulation)</b></div><ul><li>
Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation problems</li><li>
Must have hands on experience in solving enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem.</li><li>
Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach.</li><li>
Have worked in areas like network optimization, cutting stock, knapsack kind of problems, monte carlo and discrete event simulation</li><li>
Must have worked in at least a couple of major commercial/open source OR tools and software like python, Google OR tools , IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc
</li></ul><div><b>Section-2- AI/ML</b></div><ul><li>
Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning
</li><li>Proven implementation of ML and AI practices
</li><li>Exposure to unsupervised learning and NLP</li><li>
Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization.
</li><li>Proficiency on Cloud Platform( GCP preferable), SQL, Python and R</li></ul></div><div></div>

D&T Data Scientist II

Walmart Global Tech India

<div>
 Position Summary...
 <br/>
 <br/>
 What you'll do...
 <br/>
 <br/>
 <strong>
  About the Team:
  <br/>
  <br/>
 </strong>
 Centroid team at Walmart serves as the backbone of Walmart's end-to-end supply chain strategy. They are entrusted with the task of designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their primary objective is to ensure that Walmart provides top-tier customer service while supporting the increasing demand over time and simultaneously operating at low and efficient costs.
 <br/>
 <br/>
 The team utilizes sophisticated data analysis methods to understand patterns, identify potential bottlenecks, and predict future trends. This enables them to optimize processes, make informed business decisions, and enhance overall operational efficiency.
 <br/>
 <br/>
 One of Centroids key responsibilities also includes the creation of a Digital Twin Simulation platform for Walmart's supply chain. This innovative tool allows the team to test and validate all future strategies and tactical decisions before they are launched operationally. It also enables a deep assessment of long-term strategic sensitivity.
 <br/>
 <br/>
 In essence, the Centroid teams work is integral to ensuring Walmart's supply chain is robust, flexible, and capable of adapting to ever-changing market demands. Their work helps to keep Walmart at the forefront of retail supply chain management, delivering exceptional service to customers while maintaining efficient operational costs.
 <br/>
 <br/>
 <strong>
  What You'll do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and manage advanced data analytics models to optimize supply chain strategies, balancing customer satisfaction with operational cost and asset efficiency.
  </li>
  <li>
   Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams.
  </li>
  <li>
   Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations.
  </li>
  <li>
   Secure alignment and support from relevant business partners and management for data-centric projects, leading discussions to drive necessary change.
  </li>
  <li>
   Utilize all available data resources effectively to ensure successful project outcomes.
  </li>
  <li>
   Communicate data insights clearly and persuasively through emails, verbal discussions, and presentations, tailoring communication methods to the audience for maximum impact.
  </li>
  <li>
   Collaborate with multiple supply chain business teams to proactively identify, assess, and leverage cost-saving and service improvement opportunities through advanced data analytics.
  </li>
  <li>
   Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis.
  </li>
  <li>
   Collaborate with Data Scientists and Engineers to productionize and scale advanced analytics models as needed.
  </li>
  <li>
   Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making.
  </li>
  <li>
   Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling
  </li>
  <li>
   Expert in SQL, - BigQuery like cloud data platforms.
  </li>
  <li>
   Expert in programming in Python, (or R)
  </li>
  <li>
   Experience in using data visualization tools like Tableau and Looker and be able to drive powerful insights.
  </li>
  <li>
   Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
  </li>
  <li>
   Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.
  </li>
  <li>
   Ability to work in a fast-paced, iterative development environment.
  </li>
  <li>
   Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members.
  </li>
  <li>
   Strong ability to understand the business and have good stakeholder management capabilities.
  </li>
  <li>
   Experience of working in cross-functional environment and leading or mentoring teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Walmart Global Tech
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Flexible, hybrid work
  <br/>
  <br/>
 </strong>
 We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Belonging
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Minimum Qualifications...
  <br/>
  <br/>
 </strong>
 <em>
  <em>
   Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
   <br/>
   <br/>
  </em>
 </em>
 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.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications...
  <br/>
  <br/>
 </strong>
 <em>
  <em>
   Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
   <br/>
   <br/>
  </em>
 </em>
 <strong>
  Primary Location...
  <br/>
  <br/>
 </strong>
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2332242
</div>


(IND) SENIOR, DATA SCIENTIST

Alvarez & Marsal

<div></div><div><div><div><p>Location: Gurugram, India<br>
Date Posted: Oct 4, 2025</p></div><p></p><div><div><br>
</div></div></div><div><p><b>Description</b>
</p><div><b>About Alvarez &amp; Marsal</b></div><div>
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.</div><div><b>
The Team</b></div><div>
Our Performance Improvement team provides Business Transformation and Performance Improvement Services to Corporates, Investors, and their portfolio companies, delivering &ndash;
</div><ul><li>Performance improvement via cost reduction and revenue growth programmes</li><li>
Large, complex organizational restructuring and business transformation</li><li>
Rapid Results Program, which helps to quickly and effectively assess business process management risks and identify key areas impeding performance
</li></ul><div><b>How you will contribute</b></div><div>
As Manager of Data Science at A&amp;M GCC PI Supply Chain team, you will contribute across the key areas below:</div><div><b>
Python, ML</b></div><ul><li>
Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data</li><li>
Design predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet</li><li>
Implement anomaly detection models to flag irregularities in procurement costs, delivery timelines, and inventory movements.</li><li>
Develop end-to-end ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers.</li><li>
Use Python for simulation of what-if scenarios in logistics, supply planning</li><li>
Hyper Parameter tuning to enhance the performance of models</li><li>
Design A/B tests and apply causal inference techniques for business impact analysis</li><li>
Strong in statistics and probability: hypothesis testing, confidence intervals, and bootstrapping</li><li>
Work with cloud platforms (AWS, GCP, Azure) and tools such as S3, Databricks</li><li>
Create interactive visualizations and dashboards using Plotly, Seaborn, and Power BI for communicating insights</li></ul><div><b>
Functional</b></div><ul><li>
Process know-how of supply chain planning and Logistics operations</li><li>
Build and deploy statistical and machine learning models (ARIMA, XGBoost, Prophet) for demand forecasting, supply planning and Logistics optimization</li><li>
Hands-on experience with Pyomo, PuLP, OR-Tools, and heuristics for scheduling, routing, and load optimization</li><li>
Build scenarios to analyze how varying key inputs like number of trucks, DC&rsquo;s and Dealers etc. influence the performance of entire network</li><li>
Create interactive dashboards using Power BI and Python for tracking logistics KPIs and operational metrics</li><li>
Present data led cases / scenarios and model outputs to leadership for decision support and implementation readiness</li></ul><div><b>
Qualifications</b></div><ul><li>
Minimum of 6&ndash;11 years of experience in data science / modelling for functions across supply chain, i.e., logistics, transportation, distribution strategy, or downstream supply chain execution roles</li><li>
Hands-on experience of minimum 3-4 years in python with focus on statistical analysis and machine learning</li><li>
Previous advisory experience from a top-tier strategy firm, niche logistics consulting firm, or Big-4 consultancy preferred</li><li>
Bachelor&rsquo;s degree in engineering, logistics, supply chain, or a related field</li><li>
Master&rsquo;s degree in Computer Science / Operations Research / Industrial Engineering is preferred</li><li>
Strong storyboarding skills to translate operational insights into impactful client presentations</li><li>
Excellent communication and interpersonal skills with high motivation to drive logistics transformation</li><li>
Ability to manage multiple logistics-focused engagements and meet tight deadlines</li><li>
Experience in KPI tracking and performance dashboards</li><li>
Strong analytical, quantitative, and root-cause problem-solving skills</li></ul><div><b>
Your journey at A&amp;M</b></div><div>
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.</div><div>
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</div><div>
</div>
</div><div><h2 class="jobSectionHeader"><b>Inclusive Diversity</b></h2>
<p>A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h2>
<p>It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .</p>
<h2 class="jobSectionHeader"><b>Unsolicited Resumes from Third-Party Recruiters</b></h2>
<p>Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p></div></div><p></p>

Manager, Data Science (Supply Chain) - Global Capability Center

Varshney Infotech Pvt Ltd

<p><b>Gen AI Data Scientist</b></p><p><b>Location - Remote</b></p><p><b>Job Type - Contract (12 months)</b></p><p><b>Company - Varshney Infotech Pvt Ltd</b></p><p>We are looking for a Data Scientist/ Senior Data Scientist for our Advanced Analytics and Big Data</p><p>team. The scope of the team is to generate insights for data-driven decision in the domain of product</p><p>development using methods of systematical data analysis. The main task is to identify suitable</p><p>problem statements and develop sustainable solutions in an international and diverse environment.</p><p>Our methods are based on state of the art technology such as artificial intelligence, cloud computing</p><p>and agile software development in order to provide groundbreaking insights for vehicle development.</p><p>Responsibilities &amp;amp; Key Deliverables</p><p>Artificial Intelligence &amp;amp; Machine Learning</p><p>&#61623; Cognitive AI Applications &amp;amp; Chatbots</p><p>&#61623; Full stack development &amp;amp; product Management (Web, Mobile): Hardcore Full Stack Data</p><p>Scientist with end to end single-handed multi hat role to work on building an AI Conversation</p><p>Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to</p><p>Text Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN,</p><p>deep learning to solve the specific complex problem in Auto sector as single-handed doer or</p><p>in a small Data Science Team with full end to end ownership of delivery</p><p>&#61623; Machine Learning - Classification and prediction for intuitive results at scale. Strong</p><p>experience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictive</p><p>modeling as well as business strategy skills to build the algorithms necessary to ask the right</p><p>questions and find the right answers.</p><p>Statistical Data Modelling, Big Data</p><p>&#61623; Recommend appropriate searching and indexing methods</p><p>&#61623; Use big data tools and platforms to access data and run models</p><p>&#61623; Big Data: Remove constraints on volume, variety and velocity of data</p><p>&#61623; Data Modelling: Identifying factors and relationships to make predictions for competitive</p><p>advantage</p><p>Data Management and Insight</p><p>&#61623; Data sourcing, integration, scaling and optimization. Ensure provenance and</p><p>&#61623; Clean data through statistical approaches, such as identifying outliers and transform data</p><p>into machine-readable formats</p><p>&#61623; Optimize performance of database queries/schema (basics such as adding indices etc.),</p><p>processing unstructured data (text, voice, image)</p><p>&#61623; Cleaning data, formatting data, Having the ability to query databases &amp;amp; perform statistical</p><p>analysis, build AI Data Modelling, validating the AI Model and deployment</p><p>Business Understanding and Project Management</p><p>&#61623; Use subject matter knowledge in the areas of business operations (HR, Manufacturing,</p><p>Supply Chain, Sales &amp;amp; Marketing etc.) in order to understanding business requirement</p><p>effectively. Manages projects effectively ensuring objectives, deadlines and budgets are met</p><p>by team members under own control.</p><p>Internal</p><p>General Experience</p><p>&#61623; 3 to 7 years of strong experience in applied AI ML &amp;amp; Deep Learning Data Science</p><p>&#61623; End to end single-handed hands-on full-stack Data Scientist / Sr. Data Scientist.</p><p>&#61623; Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5 good Applied AI-</p><p>oriented Applied Research Projects &amp;amp; Industry Projects applications</p><p><b>Note - Candidates must have their own Laptop</b></p><p>Can share resume to <b>samiksha.kesharwani@varshneyinfotech.net or kesharwanisameeksha07@gmail.com</b></p><p>Job Types: Full-time, Contractual / Temporary, Freelance<br/>Contract length: 12 months</p><p>Pay: &#8377;150,000.00 - &#8377;250,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: In person</p>

GEN AI Data Scientist

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