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staff data scientist i - supply chain operations analytics

staff data scientist i supply chain operations analytics

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
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 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
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 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
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 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
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 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
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 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
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 Ability to work independently and as part of a team in a consulting environment.
 </li>
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 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Supply Chain Operations Analytics

United Breweries Ltd.

<div>
 
 
 Role Purpose
 
 
 
 Head - Total Productive Management (TPM) will lead the design, deployment, and governance of TPM across the supply chain network&mdash;including manufacturing plants, warehouses, logistics hubs, and CMUs. The role is responsible to minimize avoidable financial losses in manufacturing by developing and reviewing plans/programs, training and up-skilling talent and implementing process improvements defined within the TPM methodology; Support change management programs and audits conducted at all breweries in the OPCO.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. TPM Strategy &amp; Deployment
 
 
 <ul>
 <li>
 Develop and execute the long-term TPM roadmap across the supply chain and manufacturing Contribute to development of year-long TPM plan for each pillar, across all the activities for the OPCO.
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 <li>
 Partner with the global Heineken team, determine progression plans and projects for improvement on TPM indices across pillars
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 Review the TPM metrics for the OPCO, identify improvement opportunities based on assessment and lead the design of requisite intervention projects.
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 Develop the TPM expense budget for the OPCO and drive compliance across all the breweries in the OPCO.
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 </ul>
 
 
 2. Loss Identification &amp; Productivity Improvement
 
 
 <ul>
 <li>
 Lead total loss mapping exercises across all the plants.
 </li>
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 Identify systemic loss areas and deliver breakthrough improvements through focused improvement projects.
 </li>
 <li>
 Partner with factory operations to reduce machine breakdowns, improve OEE, and enhance throughput.
 </li>
 </ul>
 
 
 3. Equipment Reliability &amp; Preventive Maintenance Excellence
 
 
 <ul>
 <li>
 Collaborate with engineering teams to build world-class preventive and predictive maintenance systems.
 </li>
 <li>
 Establish reliability standards, equipment health indicators, and maintenance norms for critical beverage processing and packaging lines.
 </li>
 <li>
 Implement digital tools for condition monitoring and predictive analytics.
 </li>
 </ul>
 
 
 4. Process Standardization &amp; Capability Building
 
 
 <ul>
 <li>
 Develop SOPs, best practices, and TPM training modules for operators, technicians, and managers.
 </li>
 <li>
 Build internal TPM trainers and pillar leaders across supply chain locations.
 </li>
 <li>
 Conduct assessments, audits, and capability-building workshop
 </li>
 </ul>
 
 
 5. Safety, Quality, Compliance &amp; Data Management
 
 
 <ul>
 <li>
 Integrate TPM practices with Safety (SHE), Quality Assurance, Food Safety, and Regulatory compliance programs.
 </li>
 <li>
 Promote autonomous maintenance behaviours that strengthen hygiene, GMP, and first-time-right standards in beverage operations.
 </li>
 <li>
 Ensure that TPM contributes to minimizing quality incidents, safety risks, and line stoppages.
 </li>
 <li>
 Custodian of TPM data for the OPCO, ensure proper reporting and deployment for the region and ensure accuracy of BCS data.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Master&rsquo;s degree in supply chain, engineering, or related field with a certification in TMP/Lean six sigma.
 </li>
 <li>
 15+ years of experience in manufacturing with exposure to TPM/Operational Excellence.
 </li>
 <li>
 Experience in beverages, FMCG, food processing, or high-speed manufacturing environments strongly preferred.
 </li>
 <li>
 Certified TPM practitioner or strong understanding of JIPM TPM pillars and methodologies.
 </li>
 <li>
 Demonstrated experience leading large-scale operational improvement initiatives.
 </li>
 </ul>
 <li>
 </li>
 
 
 Core Competencies
 
 
 <ul>
 <li>
 Deep knowledge of TPM pillars, reliability engineering, OEE, maintenance systems, and lean manufacturing.
 </li>
 <li>
 Leadership and team management.
 </li>
 <li>
 Strong analytical and problem-solving skills; ability to identify and eliminate losses systematically.
 </li>
 <li>
 Excellent facilitation, training, and coaching abilities.
 </li>
 <li>
 Strong leadership, influencing, and stakeholder management skills.
 </li>
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 Passion for continuous improvement and building strong shop-floor culture.
 </li>
 </ul>
 
 
</div>

Head - Total Productive Management

Virtusa

<div>
 Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.
 
 
 Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
 
 
 Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
 
 
 Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
 
 
 Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
 
 
 Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
 
 
 Collaborate with business stakeholders to translate analytical findings into actionable strategies
 
 
 Document data processes, methodologies, and models to support transparency and reusability
 
 
 Support continuous improvement of data workflows, analytics tools, and best practices.
</div>

Senior Data Owner

Reliance Retail

<div>
 
 Finance Analyst Category
 
 
 
 
 Financial Management &amp; Reporting
 
 
 
 <ul>
 <li>
 Assist in preparing monthly, quarterly, and annual financial reports for the category.
 </li>
 <li>
 Support budget planning and forecasting activities.
 </li>
 <li>
 Track category-specific expenses and revenues.
 </li>
 <li>
 Reconcile financial discrepancies and ensure data accuracy.
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Insights
 
 
 
 <ul>
 <li>
 Analyze category performance metrics and provide insights to support business decisions.
 </li>
 <li>
 Monitor KPIs and identify trends or variances.
 </li>
 <li>
 Prepare Value Chain and compare with Standard VC and identify the root cause of variances.
 </li>
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 Liaise with internal teams (e.g., procurement, sales, Supply Chain) for category-related financial matters.
 
 
 </li>
 </ul>
 
 Looking for Qualified CMA OR CA from FMCG industry Only
 
 
 
 
 Location - Yelahanka, Bangalore
 
</div>

MIS Finance Analyst

Amazon

<div>
 
 Description
 
 
 
 The Transportation Specialist acts as the primary interface between Amazon and our external stakeholder partners such as carriers/transporters, so to our partners- you ARE Amazon. A Trans Rep at RO facilitates flow of information between different stakeholders (Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. The specialists are expected to identify concerns and work on troubleshooting delivery partner issues and provide process improvement suggestions.
 
 
 The Transportation Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. The Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Since they are responsible for the shift performance, they lead a team of L2&rsquo;s in the shift and would need to display leadership skills to help drive outcomes.
 
 
 Key job responsibilities
 
 
 
 Responsibilities Include, But Are Not Limited To
 
 
 
 Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Business, Planning, Fulfillment Centers, Sort Centres, Delivery stations etc) for adhoc/cancellations/delays or any other disruptions in the transportation network.
 
 
 Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
 
 
 Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results.
 
 
 Effectively communicate in a clear and professional manner at all times and must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
 
 
 Demonstrate excellent time-management skills by providing real-time customer experience by working in fast paced operating environment. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
 
 
 Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings.
 
 
 
 About The Team
 
 
 
 RO (Relay Operations) team is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network supporting India operations. The team deals with the Amazon supply chain network right from First Mile till the Last Mile Delivery Stations. In case of any exceptions, RO steps in to resolve the issue and keeps all the stakeholders informed of the proceedings. Along with tactical problem-solving, team is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and analysis of network data
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with MS Office, in particular MS Excel
 </li>
 <li>
 Experience with SQL
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ASSPL - Andhra Pradesh - E88
 
 
 Job ID: A3141031
</div>

Transportation Specialist

Infosys

<div>
 Technical skills
 
 
 <ul>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role Technical skills
 </li>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role
 </li>
 </ul>
</div>

Associate Data Scientist

Flipkart

<div>
 
 
 About the Role
 
 
 
 You will co-lead the Inventory Planning team for the Non-large Businesses of FK. You will be responsible for Replenishment Charter, Brand and Ekart Engagement Charters within the central Inventory Planning team of Flipkart.
 
 
 
 
 
 
 
 
 
 You will be responsible for:
 
 
 
 As Lead for the Replenishment Charter
 
 <ul>
 <li>
 Own the speed-related inventory metrics (RU/ CF) for the Non-large businesses
 </li>
 <li>
 Manage Inter-warehouse replenishment (IWIT) to ensure right placement of inventory closer to customer locations. Maximize sales from closest locations with optimal inventory levels
 </li>
 <li>
 Manage distribution and replenishment of seller inventories
 </li>
 <li>
 Engage with Product teams to build new Products for enhanced IWIT capabilities and to review existingIWIT logics and improve Product performance.
 </li>
 <li>
 Engage with Ekart to align IWIT capacities, to orchestrate truck movements and to solve cost
 </li>
 </ul>
 
 
 
 
 
 As Lead of the Brand engagement Charter
 
 
 <ul>
 <li>
 Be the single point of contact from a supply chain perspective for brands and vice versa
 </li>
 <li>
 As part of this engagement with brands, liaise with them for better instocks.
 
 Own zonal instock metrics for brands
 
 </li>
 <li>
 Resolve supply chain related issues for brands
 </li>
 <li>
 Support Ekart to resolve packaging, logistics or other issues with brands
 </li>
 <li>
 Drive brand led FK initiatives such as Sourcing Hub, VMI etc.
 </li>
 <li>
 Own Sourcing Hub revenue generation. Onboard vendors through engagement with Categories and brands
 </li>
 <li>
 Ensure process streamlining for Sourcing Hub - liaise with Ekart for capacities, orchestrate flows
 </li>
 <li>
 Own Inwarding operations - unlock any inwarding challenges in FCs - by liaising with categories, Ekart
 </li>
 <li>
 Own reverse operations engagement - Capacity orchestration and processing of reverse orders to brands - liaise with Categories/ brands / ekart for unlocks
 </li>
 <li>
 Establish processes, policies and metrics for mentioned responsibilities
 </li>
 <li>
 Building right metrics, dashboards and visibility for actionability
 </li>
 </ul>
 
 
 
 
 
 To succeed in this role &ndash; you should have the following
 
 
 <ul>
 <li>
 Strong stakeholder management capability - ability to influence senior stakeholders with often diverging goals
 </li>
 <li>
 Strong leadership capability - guide team in ambiguous scenarios and keep team motivated
 </li>
 <li>
 Ability to think strategically and develop longer term sustainable solutions
 </li>
 <li>
 Ability to define processes, establish ownership, align stakeholders and drive accountability
 </li>
 <li>
 Rational decision-making, negotiating and influencing skills. An analytical work style.
 </li>
 <li>
 Accountability, initiative, integrity and maturity are pre- requisites.
 </li>
 <li>
 Strong business and Financial acumen to convert a number analysis into a business story and having strong ability to articulate. Build and fortify a strong business/data models by going in depth and understanding where opportunities are and chasing them with innovative ideas
 </li>
 <li>
 Customer first Approach in Solving any problems and ability to Quantify the Risk to the Customer Metrics for any decision or approach
 </li>
 <li>
 Strong Self Conviction and passionate
 </li>
 <li>
 A Team player who is approachable and collaborative
 </li>
 <li>
 A self starter who demonstrates ability to bring multiple teams on the same page
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills
 
 
 
 Stakeholder Management, Leadership capability Communication Skills, Presentation Skills, Management Skills,Analytical Ability, Business Analysis, Interpersonal Skills, Inventory Management, Inventory Planning, Capacity Planning, Team Building
 
 
 
</div>

Associate Director - Inventory Planning

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