supply chain data scientist

MKS Instruments

<div><p><b>A Day in Your Life at MKS:</b></p><p>
As a Principal 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

NTT DATA North America

<div>
 <strong>
  Req ID:
 </strong>
 336383
 <br/>
 <br/>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 <br/>
 <br/>
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 <br/>
 <br/>
 <strong>
  Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
  <br/>
  <br/>
 </strong>
 <strong>
  Experience Required:
 </strong>
 5 to 8 years in Data Science, Analytics, or related fields
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 NTT Data is seeking an experienced
 <strong>
  Data Scientist
 </strong>
 to join its
 <strong>
  Supply Chain Consulting
 </strong>
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 <br/>
 <br/>
 Your primary focus will be on developing and deploying
 <strong>
  forecasting solutions
 </strong>
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 <strong>
  AI/ML-driven solutions
 </strong>
 for diverse real-world supply chain challenges.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
  </li>
  <li>
   Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
  </li>
  <li>
   Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
  </li>
  <li>
   Collaborate with clients to understand business problems and translate them into data science solutions.
  </li>
  <li>
   Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
  </li>
  <li>
   Communicate results effectively to technical and non-technical stakeholders.
  </li>
  <li>
   Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
  </li>
  <li>
   Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
  </li>
  <li>
   Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
  </li>
  <li>
   Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
  </li>
  <li>
   Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
  </li>
  <li>
   Strong problem-solving and communication skills with the ability to manage client interactions independently.
  </li>
  <li>
   Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About NTT DATA
  <br/>
  <br/>
 </strong>
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 <br/>
 <br/>
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 <br/>
 <br/>
 <strong>
  <em>
   NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
  </em>
 </strong>
 <strong>
  <em>
   This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
  </em>
 </strong>
</div>


Data Science Business Sr. Consultant (BY/o9)

Sonata Software

<div><div><b>About Sonata Software</b></div><div>
In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.</div><div>
As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.</div><div>
Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail &amp; CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.</div><div>
To know more, visit: www.sonata-software.com</div><p><b>
Job Title:</b> AI/ML Data Scientist &ndash; Supply Chain Analytics</p>
<div><b>
Experience:</b> 4&ndash;8 Years<br>
<b>Location:</b> Bangalore / Hyderabad / Chennai<br>
<b>Notice Period:</b> Less than 15 Days<br>
<b>Employment Type:</b> Full-Time</div>
<p></p>
<p><b>Key Responsibilities:</b></p>
<ul><li>Design, develop, and deploy AI/ML models to solve complex business challenges within the Supply Chain domain.</li>
<li>Partner with data engineers and architects to design robust data pipelines and models aligned with Fabric and Lakehouse architecture.</li>
<li>Lead model training, validation, deployment, and monitoring through MLOps frameworks ensuring scalability and sustainability.</li>
<li>Work with stakeholders to translate business requirements into actionable data science and analytics solutions.</li>
<li>Perform data wrangling, feature engineering, and exploratory data analysis (EDA) to drive insights.</li>
<li>Develop and optimize SQL/T-SQL queries for data extraction, transformation, and analytics.</li>
<li>Collaborate cross-functionally with IT, digital, and supply chain teams to ensure seamless data integration and governance.</li>
<li>Contribute to best practices for model lifecycle management, version control, and performance monitoring.</li>
</ul><p></p><p><b>Required Qualifications:</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, or related field.</li>
<li>4&ndash;8 years of experience in AI/ML model development, training, and deployment in a production environment.</li>
<li>Strong proficiency in Python, SQL/T-SQL, and experience with data modeling and ETL frameworks.</li>
<li>Hands-on experience with MLOps tools (e.g., MLflow, Azure ML, Databricks, Kubeflow, or similar).</li>
<li>Working knowledge of Lakehouse architecture and data fabric concepts.</li>
<li>Proven experience applying data science in Supply Chain functions within Healthcare or Life Sciences industries.</li>
</ul><p></p><p><b>Preferred Qualifications:</b></p>
<ul><li>Experience with Databricks, Azure Synapse, or AWS Glue/Lake Formation.</li>
<li>Familiarity with deep learning and generative AI use cases in supply chain optimization.</li>
<li>Strong understanding of data governance, quality, and lineage in large-scale data ecosystems.</li>
<li>Excellent communication and stakeholder management skills.</li></ul></div>

Digital Senior Engineer

Blue Yonder

<div><div>Overview &amp; Scope:</div><div></div><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><div><br>
What you&rsquo;ll do:</div><div></div><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><li>
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</li><li>
costs, and enhance service levels.</li><li>
Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising</li><li>
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><div></div><div>
What we are looking for:</div><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><li>
management, procurement, logistics, and distribution.</li><li>
Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and</li><li>
translate insights into actionable recommendations.</li><li>
Personal competencies</li><li>
Ability to work independently and as part of a team in a consulting environment.</li><li>
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><div></div><div>
Our Values</div><div><br>
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: <div>Core Values</div></div><div></div><div>
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></div>

Staff Data Scientist I - Python, R & ML

<div><div>Overview &amp; Scope:</div><div></div><div>
Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s &ldquo;Best Places to Work&rdquo;</div><div>
We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.</div><div></div><div>
What you&rsquo;ll do:</div><div></div><ul><li>
Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>
Machine Learning: Apply statistical and machine learning techniques to forecast demand which would 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><li>
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 costs, and enhance service levels.</li><li>
Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising 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 strategies for continuous improvement.</li></ul><div></div><div>
What we are looking for:</div><div></div><ul><li>
Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>
Experience: 14-17 years of experience in data science or Supply Chain Operations Analytics, or worked on 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 experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>
Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>
Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>
Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul><div></div><div>
Personal competencies:</div><ul><li>
Ability to work independently and as part of a team in a consulting environment.</li><li>
Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</li></ul><div></div><div>
Our Values</div><div><br>
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: <div>Core Values</div></div><div></div><div>
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></div>

Sr Staff Data Science Consultant - Supply Chain

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>
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SC Advanced Analytics Advisor

Dr. Reddy's Laboratories

<div>
 <p>
  <strong>
   Roles &amp; Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data.
  </li>
  <li>
   Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points.
  </li>
  <li>
   Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency.
  </li>
  <li>
   Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams.
  </li>
  <li>
   Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical &amp; Functional Skills:
  </strong>
 </p>
 <ul>
  <li>
   6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain.
  </li>
  <li>
   Strong demand forecasting expertise- Time series, machine learning and deep learning models.
  </li>
  <li>
   Strong programming in Python, SQL; familiarity with GCP or Azure.
  </li>
  <li>
   Deep knowledge of supply chain processes - production planning, inventory management, and logistics.
  </li>
  <li>
   Experience with simulation tools (e.g. Arena) is a plus.
  </li>
  <li>
   Ability to communicate complex models to non-technical stakeholders and influence decision-making.
  </li>
  <li>
   Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Department | Digital Process and Excellence (DPEx):
  </strong>
 </p>
 <p>
  Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.
 </p>
 <p>
  With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Some its priorities are:
 </p>
 <ul>
  <li>
   Reimagine Dr. Reddy&rsquo;s as a &lsquo;platform-based&rsquo; organization.
  </li>
  <li>
   Create Data as an asset that brings competitive advantage and business impact.
  </li>
  <li>
   Create Digital solutions that make the lives of our patients and customers easier and better.
  </li>
 </ul>
</div>


Lead Data Scientist - Forecasting & Supply Chain

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