data sciences director

Mastercard

<div>
 <strong>
  Our Purpose
  <br/>
  <br/>
 </strong>
 <em>
  Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
  <br/>
  <br/>
 </em>
 <strong>
  Title And Summary
  <br/>
  <br/>
 </strong>
 Director, Data Scientist
 <br/>
 <br/>
 Director, Data Science
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.
 <br/>
 <br/>
 The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.
 <br/>
 <br/>
 As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop AI-driven strategies to support business value.
  </li>
  <li>
   Identify, qualify, and prioritize high-impact AI opportunities across business domains.
  </li>
  <li>
   Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.
  </li>
  <li>
   Enable quick and iterative delivery of AI solutions with consistent value creation.
  </li>
  <li>
   Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.
  </li>
  <li>
   Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.
  </li>
  <li>
   Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.
  </li>
  <li>
   Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).
  </li>
  <li>
   Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.
  </li>
  <li>
   Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  All About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.
  </li>
  <li>
   Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.
  </li>
  <li>
   Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.
  </li>
  <li>
   Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.
  </li>
  <li>
   Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Good to Have
 <br/>
 <br/>
 <ul>
  <li>
   Experience in the financial institutions or payments industry.
  </li>
  <li>
   Knowledge of cloud computing (Databricks, AWS).
  </li>
  <li>
   Familiarity with agile methodologies
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Corporate Security Responsibility
  <br/>
  <br/>
 </strong>
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 <br/>
 <br/>
 <ul>
  <li>
   Abide by Mastercard&rsquo;s security policies and practices;
  </li>
  <li>
   Ensure the confidentiality and integrity of the information being accessed;
  </li>
  <li>
   Report any suspected information security violation or breach, and
  </li>
  <li>
   Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
  </li>
 </ul>
</div>


Director, Data Scientist

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Director, Data Scientist<p></p>
Director, Data Science
<br>
Overview<br>
<br>
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.<br>
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.<br>
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.<br>
<br>
Your Role and Responsibilities:<br>
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul><br>
All about you<br>
<br>
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul><br>
Good to Have<br>
<br>
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Saudi Railway Company

<div>
 <p>
  <strong>
   Job Responsibilities :
  </strong>
 </p>
 <ul>
  <li>
   Work on the design and implementation of data governance solutions to support the entity&rsquo;s needs.
  </li>
  <li>
   Ensure compliance with data classification systems, data privacy, freedom of information, and data management standards and policies within the department.
  </li>
  <li>
   Carry out and spread awareness and knowledge of the data management program across the entity.
  </li>
  <li>
   Identify opportunities and make recommendations to improve the quality and trustworthiness of data throughout the entity.
  </li>
  <li>
   Implement and establish wider data management competencies within the entity (such as data quality, metadata management, master data management, data modelling, and development of data standards and data strategy)
  </li>
  <li>
   Apply data governance to optimize the safety and value of data throughout the data life cycle.
  </li>
  <li>
   Identify the risks related to data management and ensure to mitigate the risk.
  </li>
  <li>
   Coordinate with IT data representatives regarding technical matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience :
  </strong>
 </p>
 <p>
  A minimum of 7 years of relevant experience .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications :
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s Degree in Computer Science, Cyber Security, Business Administration, or any other relevant degree.
 </p>
</div>


Data Governance Section Head

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Director of Data Science (ML)
 </strong>
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 <br/>
 <br/>
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership
  </li>
  <li>
   Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
  </li>
  <li>
   Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
  </li>
  <li>
   Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
  </li>
  <li>
   Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
  </li>
  <li>
   Team Leadership &amp; Development
  </li>
  <li>
   Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
  </li>
  <li>
   Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
  </li>
  <li>
   Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
  </li>
  <li>
   Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
  </li>
  <li>
   Technical &amp; Operational Excellence
  </li>
  <li>
   Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
  </li>
  <li>
   Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
  </li>
  <li>
   Define and oversee the technical AI roadmap and direction for the team.
  </li>
  <li>
   Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
  </li>
  <li>
   Champion MLOps and automation to reduce experimentation-to-production cycle time.
  </li>
  <li>
   Product Impact &amp; Delivery
  </li>
  <li>
   Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
  </li>
  <li>
   Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
  </li>
  <li>
   Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
  </li>
  <li>
   Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
  </li>
  <li>
   Cross-Functional Influence
  </li>
  <li>
   Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
  </li>
  <li>
   Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
  </li>
  <li>
   Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
  </li>
  <li>
   Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
  </li>
  <li>
   Advanced degree in Computer Science, Machine Learning, or related field.
  </li>
  <li>
   Demonstrated ability to translate complex ML concepts into strategic business impact.
  </li>
  <li>
   Strong stakeholder management and communication skills across technical and non-technical domains.
  </li>
  <li>
   Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;ll Provide You
  <br/>
  <br/>
 </strong>
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 <br/>
 <br/>
 <ul>
  <li>
   Work and learn from great minds by joining a community of inspiring colleagues.
  </li>
  <li>
   Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
  </li>
  <li>
   Explore new opportunities to learn and grow every day.
  </li>
  <li>
   Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
  </li>
  <li>
   Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
  </li>
 </ul>
</div>


Director of Data Science

The Cigna Group

<div><p><b>HIH &ndash; Data Science Advisor</b><br>
<br>
ABOUT EVERNORTH:<br>
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don&rsquo;t, won&rsquo;t or can&rsquo;t.<br>
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.<br>
We are always looking upward. And that starts with finding the right talent to help us get there.</p><p><br>
Job Description</p><p></p><p>
Excited to grow your career?</p><p>
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!</p><p>
Our people make all the difference in our success.</p><p>
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?</p><p>
Evernorth&rsquo;s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider &amp; Rx data, and behavioral/attitudinal data.
</p><p></p><p><b>Role Summary</b></p><p>
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth&rsquo;s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data &amp; Engineering to deliver code that is robust and ready to scale.</p><p></p><ul><li><p>
Data acquisition, QC and exploratory analysis on transactional member data</p></li><li><p>
Create models using ML / AI techniques to predict risk and identify actionable insights</p></li><li><p>
Deliver clean, reusable, and scalable code</p></li><li><p>
Work closely with Data &amp; Engineering to deploy models</p></li><li><p>
Partner with senior team members on the latest analytic techniques, technologies, and methods</p></li></ul><p></p><p>
Qualifications</p><p></p><p><b>
Required Education</b></p><ul><li><p>
MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience</p></li></ul><p></p><p><b>
Required Skills</b></p><ul><li><p>
The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.</p></li></ul><p></p><p><b>
Required Experience</b></p><ul><li><p>
8-12 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required</p></li><li><p>
5-8 years of experience with Python, PySpark and its data science libraries</p></li><li><p>
Excellent oral and written communication skills</p></li></ul><p></p><p><b>
Desired Experience</b></p><ul><li><p>
Prior experience working in the healthcare industry, services ops or digital domain</p></li><li><p>
Experience with deploying predictive models into production</p></li><li><p>
Experience working with business stakeholders</p></li></ul><p></p><p><b>
Location &amp; Hours of Work</b></p><ul><li><p>
Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate</p></li><li><p>
Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)</p></li></ul><p><b>
Equal Opportunity Statement</b></p><p><i>
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.</i></p><p></p><p><b>
About Evernorth Health Services</b></p><div><div><div><div><div><div><div><p>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p></div></div></div></div></div></div></div></div>

Data Science Advisor - HIH - Evernorth

TECHOLAS TECHNOLOGIES PVT LTD

<p>This role is best suited for:</p><ul><li>Person with ​1+ years experience of delivering data science trainings</li><li>Excellent understanding of data visualization, data storytelling, and how to think about data problems in a business context and solving them using Machine learning</li><li>High level proficiencies in Machine Learning and Deep Learning algorithms</li><li>Rich experience in tools like R / Python</li><li>Strong problem solving and communication skills</li><li>A passion for delivering and curating training content</li></ul><p><b>Skills Required:</b></p><p>Machine Learning, Deep Learning, Python, SQL, Computer vision.</p><p><b>Roles:</b></p><p>Here are a few things you can expect:</p><p>● Delivering and creating content for online/offline data science training<br/>● Inspire students to persevere through the challenges of learning a new suite of skills<br/>● Continuously learn new skills and evangelize them with in our community<br/>● Defining and leading our strategy in making data science easy and accessible to all</p><p><b>Requirements:</b></p><ul><li>Python programming knowledge</li><li>Machine Learning knowledge</li><li>Deep learning knowledge</li><li>Data analytics tools like Tableau, Power bi knowledge</li><li>Good communication skill</li><li>Flexible to learn new technologies</li><li>Online and offline batches handling</li><li>Demo sessions need to give</li><li>Being with the part of academic activities like class video recording, seminar and webinar.</li></ul><p>Job Type: Full-time</p><p>Salary: ₹15,000.00 - ₹25,000.00 per month</p><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: ₹15,000.00 - ₹25,000.00 per year</p><p>Work Location: In person</p>

Data Science Trainer

Alcon

<div><div>Summary of Position:</div><div></div><div>
A career at Alcon is like no other. We are innovative. We are impactful. We are the largest eye care medical device company helping restore sight and allowing millions of people worldwide to see brilliantly. We have a long history of industry firsts and a diverse highly talented team that keeps us on the cutting edge.</div><div>
We are currently hiring a Principal Data Scientist, at our AGS Bangalore. This strategic and inquisitive person will develop and run with data-centered projects. In keeping with this overarching aim, the data scientist will be required to outline work requirements, provide guidance to the team on active projects, and harness their mastery of Data Science to consult on high value, high visibility use cases.</div><div>
General Information Technology work involves managing or performing work across multiple areas of an organization&rsquo;s overall IT Platform/Infrastructure including analysis, development, and administration of:</div><ul><li>IT Systems Software, Hardware, and Databases</li><li>Data &amp; Voice Networks</li><li>Data Processing Operations</li><li>End User Technology &amp; Software Support Conducts cost/benefit analyses for proposed IT projects as input to the organization&rsquo;s IT roadmap.</li></ul><div></div><div>
Key Responsibilities:</div><ul><li><div>
Identify operational problems and improvement opportunities using quantitative methods and business analysis.</div></li><li><div>
Gather, clean and analyze structured and unstructured data from multiple sources.</div></li><li><div>
Develop mathematical, statistical and Machine Learning models to support decision making.</div></li><li><div>
Create and validate decision support tools and automated analytics solutions.</div></li><li><div>
Collaborate with cross-functional teams to define requirements and implement data-driven recommendations.</div></li><li><div>
Prepare visualizations, reports and presentations to clearly communicate insights to stakeholders.</div></li><li><div>
Monitor implemented solutions and continuously refine models based on real-world performance.</div></li></ul><div></div><div>
Key Requirements/Minimum Requirements:</div><ul><li><div>
Bachelor&rsquo;s Degree or Equivalent years of directly related experience (B-Tech.+ 2-3 yrs or MSc/M-Tech/MBA +1 yrs) in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Statistics or related field</div></li><li><div>
Strong proficiency in Mathematical Optimization Models (e.g., Linear Programing, Integer programming, Meta-Heuristics) and Machine Learning techniques.</div></li><li><div>
Strong proficiency in programming languages including Python and SQL.</div></li><li><div>
Experience with mathematical solver, such as CPLEX or Gurobi.</div></li><li><div>
Experience with data visualization tools such as Tableau or PowerBI, etc.</div></li><li><div>
Experience with using cloud platforms such as AWS or Azure</div></li><li><div>
Excellent analytical, problem-solving, and communication skills</div></li><li><div>
Ability to translate technical insights into actionable business recommendations</div></li><li><div>
The ability to fluently read, write, understand and communicate in English</div></li><li><div>
Experience managing data pipelines and model maintenance and registry.</div></li></ul><div></div><div>
Preferred Qualifications/Skills/Experience:</div><ul><li><div>
Strong analytical skills and technical problem solving</div></li><li><div>
Solid experience in building code and models</div></li><li><div>
Project Management experience</div></li></ul><div></div><div>
Work hours: 1 PM to 10 PM IST</div><div>
Relocation assistance: Yes</div><div>
Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader&rsquo;s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.</div><div>
If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.</div><div></div><div>
ATTENTION: Current Alcon Employee/Contingent Worker</div><div></div><div>
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.</div><div></div><div><div>
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Principal, Data Science

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