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data analyst-business analytics-data scientist Jobs in Mangaluru

decision scientist i

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data scientist

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

<div>
 
 Roles &amp; Responsibilities
 
 
 
 The Lead Data Analyst's primary responsibility is to deliver Business Insights &amp; Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research &amp; experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
 
 
 
 Analytical &amp; Technical Skills
 
 
 
 The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
 
 
 The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
 
 
 Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice &amp; Digital), Client handling, and web data handling would be added advantage.
</div>

Data Analyst-Business Analytics-Data Scientist

FedEx

<div>
 Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.
 
 
 Grade - ____
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 What Your Main Responsibilities Are
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.
 </li>
 <li>
 Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
 </li>
 <li>
 Apply optimization techniques to improve business processes and resource allocation.
 </li>
 <li>
 Design and implement decision support systems that enable stakeholders to make data-driven decisions.
 </li>
 <li>
 Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
 </li>
 <li>
 Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.
 </li>
 <li>
 Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
 </li>
 <li>
 Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.
 
 
 </li>
 </ul>
 Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.
 
 
 Relevant work experience in decision science based on the following number of years:
 
 
 Standard I: Two (2) years
 
 
 Standard II: Three (3) years
 
 
 Senior I: Four (4) years
 
 
 Senior II: Five (5) years
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 Fluency in English
 </li>
 <li>
 Analytical Skills
 </li>
 <li>
 Accuracy &amp; Attention to Detail
 </li>
 <li>
 Numerical Skills
 </li>
 <li>
 Planning &amp; Organizing Skills
 </li>
 <li>
 Presentation Skills
 </li>
 <li>
 Statistical and Mathematical Knowledge
 </li>
 <li>
 Data Modeling and Visualization Skills
 </li>
 <li>
 Programming Skills
 
 
 </li>
 </ul>
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 
 
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 Our Company
 
 
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 
 
 Our Philosophy
 
 
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 
 
 Our Culture
 
 
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>

Decision Scientist I

slice

<div>
 
 
 About the Team:
 
 
 
 
 
 
 You&rsquo;ll work with a team that&rsquo;s reimagining how India interacts with a bank - powered by some of the smartest minds and the most intuitive tech in the ecosystem.
 
 
 
 
 
 If you love impact, autonomy, and velocity, this is your playground
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As an Analyst at
 
 slice
 
 , you&rsquo;ll turn data into decisions. You&rsquo;ll work with teams across Growth, Credit, Product, and Leadership to uncover insights, solve real business problems, and drive strategy. If you&rsquo;re excited about using data to fuel impact at scale, this role is for you.
 
 
 
 
 
 
 What You&rsquo;ll Be Do:
 
 
 
 
 
 
 
 Own the Full Analytics Spectrum
 
 
 
 
 
 
 
 Think from First Principles:
 
 Break problems down to their core, use data and reasoning to uncover insights that move the business and make life simpler for our customers.
 
 <ul>
 <li>
 
 Descriptive
 
 &ndash; Build clear, compelling visualizations and dashboards.
 </li>
 <li>
 
 Diagnostic
 
 &ndash; Dig into the
 
 why
 
 behind trends and performance.
 </li>
 <li>
 
 Prescriptive
 
 &ndash; Turn insights into recommendations that drive smart decisions.
 </li>
 </ul>
 
 
 Drive Impact at Scale
 
 
 <ul>
 <li>
 Take full ownership of complex, high-impact problems that shape key org KPIs and influence strategic direction.
 </li>
 <li>
 Lead end-to-end analytics projects in close partnership with Product, Business, and Strategy teams &mdash; from framing the problem to shaping solutions that drive measurable outcomes.
 </li>
 </ul>
 
 
 Partner with Leaders Across Teams
 
 
 <ul>
 <li>
 Work side by side with functional leaders and business partners across Growth, Retention, Product, Strategy, Engineering, Marketing, Fraud, and Ops &mdash; asking the right questions, challenging assumptions, and helping define the real business problems worth solving.
 </li>
 <li>
 
 Tell Stories That Drive Action:
 
 Turn complex data into simple, actionable stories &mdash; crafting solutions that power big decisions and deliver real impact at scale.
 </li>
 </ul>
 
 
 
 
 
 What You'll Need:
 
 
 
 
 
 <ul>
 <li>
 
 Hustle + Heart:
 
 You&rsquo;ve got the drive to build data-driven solutions that touch millions of lives - and the curiosity to keep asking
 
 &ldquo;what&rsquo;s next?&rdquo;
 
 </li>
 <li>
 
 1-3 years
 
 of experience solving complex business problems, uncovering insights, and driving key decisions that move metrics at scale.
 </li>
 <li>
 
 AI-Native Mindset:
 
 Comfortable using tools like Cursor, Claude, or CoPilots to boost your speed, scale, and smarts.
 </li>
 <li>
 
 You speak data fluently:
 
 Python and Advanced SQL are your second languages, and you&rsquo;re comfortable in PySpark, R, or Excel when the situation calls for it.
 </li>
 <li>
 
 Problem-solver at your core:
 
 You love breaking big, messy problems into bite-sized pieces &mdash; and crafting smart, scalable solutions that stick.
 </li>
 <li>
 
 Natural Storyteller:
 
 You don&rsquo;t just present numbers &mdash; you craft narratives that align stakeholders and inspire action.
 </li>
 <li>
 
 Always learning:
 
 Whether it&rsquo;s a new tool, technology, or technique, you&rsquo;re excited to expand your toolkit.
 </li>
 <li>
 
 Visualization is your superpower:
 
 Whether it&rsquo;s dashboards or decks, you know how to turn numbers into a story people instantly get.
 </li>
 </ul>
 
 
 
 
 
 Life at slice:
 
 
 
 
 
 
 Life so good, you&rsquo;d think we&rsquo;re kidding:
 
 
 
 
 <ul>
 <li>
 Competitive salaries. Period.
 </li>
 <li>
 An extensive medical insurance that looks out for our employees &amp; their dependants. We&rsquo;ll love you and take care of you, our promise.
 </li>
 <li>
 Flexible working hours. Just don&rsquo;t call us at 3AM, we like our sleep schedule.
 </li>
 <li>
 Tailored vacation &amp; leave policies so that you enjoy every important moment in your life.
 </li>
 <li>
 A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
 </li>
 <li>
 Learning and upskilling opportunities. Seriously, not kidding.
 </li>
 <li>
 Good food, games, and a cool office to make you feel like home. An environment so good, you&rsquo;ll forget the term &ldquo;colleagues can&rsquo;t be your friends&rdquo;.
 </li>
 <li>
 We believe in equality. Period.
 </li>
 </ul>
 
 
 
 
 At slice, we are committed to building a diverse and talented workforce. We never discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by the applicable law.
 
 
 
 
 
 We consider all qualified job-seekers with criminal histories in a manner consistent with the applicable law. Additionally, we are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
 
 
 
 
 
 Come join our crew!
 
 
 
 
 
 
 About us
 
 
 
 
 
 
 slice
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Analyst

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Myntra

<div>
 
 
 Responsibilities:
 
 
 
 - Monthly Monetization supply planning and optimization
 
 
 - Monthly BU wise Traffic planning
 
 
 - Monitor Platform Search trends and reporting
 
 
 - Work in tandem with Product team on Search and Sort related BRDs and PRDs
 
 
 - Manage a team of 2 analysts and drive overall Store Analytics
 
 
 - Work on Growth of Central Campaigns like Myntra Unique
 
 
 - Support business decisions by - formulating hypothesis, structuring the problem, analyse relevant data to verify hypothesis and prepare documentation to communicate the results with insights
 
 
 - Monitor key metrics such as revenue, gross margin, item price, conversion, customer count etc.
 
 
 - Influence various teams/stakeholders within the organization (planning, category etc.) to meet goals
 
 
 - Analyzing platform and category level metrics to isolate problems/strength areas to solve/leverage
 
 
 - Develop &amp; implement strong reporting formats which give a 360 degree view of the health of the portfolio
 
 
 - Use statistical methods to analyze data and generate useful business reports and insights
 
 
 - Work with management team to create a prioritized list of needs for each business segment.
 
 
 - Work with departmental managers to outline the specific data needs for each business method analysis project
 
 
 
 Qualifications &amp; Experience:
 
 
 
 - Engineering Degree from an accredited university or college.
 
 
 - Work experience as a data analyst or in related analytics area for at least 3+ Years
 
 
 - Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)
 
 
 - High-competency in written and verbal communication skills
 
 
 - Able to work with others in a fast-paced, team environment and to interact effectively with all levels of management.
 
 
 - Results oriented with excellent communication and interpersonal skills, can work individually with minimal or no supervision
 
 
 - Experience with advanced MS Excel, Python or R and SQL a must
 
 
 Key skills required : Statistics/Math Skills, MS Excel, Python or R, SQL, PowerBi (optional)
 
 
 
</div>

Lead Associate : Data Analyst

Cisco

<div>
 
 Meet the Team
 
 
 
 Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data &mdash; including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco&rsquo;s global engineering capabilities. Our work spans networking, security, observability, and customer experience &mdash; designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You&rsquo;ll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration &mdash; all within a flexible, growth‑oriented environment.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Own and develop specific components of foundation-model pipelines for machine-generated data&mdash;primarily logs, with supporting work across time series, traces, and events.
 </li>
 <li>
 Implement and optimize parts of distributed training and inference workflows, including profiling, scaling, and efficiency improvements.
 </li>
 <li>
 Collaborate with engineering, product, and data science teams to translate requirements into workable prototypes and support production integration.
 </li>
 <li>
 Participate in team knowledge-sharing, documentation, and internal technical discussions to help strengthen collective expertise.
 </li>
 <li>
 Stay current with emerging AI/ML advances and bring relevant ideas, papers, and techniques into ongoing research and development.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 PhD in Computer Science or related quantitative field, or Master plus 2+ years of industry research experience.
 </li>
 <li>
 Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
 </li>
 <li>
 Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Experience translating research ideas into production systems.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Deep NLP &amp; Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA) for specialized domains including structured/unstructured logs, text, and event sequences.
 </li>
 <li>
 Log Analytics Expertise &ndash; In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
 </li>
 <li>
 Advanced Anomaly Detection &ndash; Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
 </li>
 <li>
 Multi‑Modal AI Modeling &ndash; Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
 </li>
 <li>
 Large‑Scale Training &amp; Optimization &ndash; Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
 </li>
 <li>
 MLOps &amp; Continuous Learning &ndash; Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
 </li>
 <li>
 Strong Research Track Record &ndash; Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Applied AI Scientist

Explore 61+ Data scientist in Mangaluru this February. Find roles across top companies and apply now to boost your career.