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associate data scientist Jobs in Mangaluru

associate data scientist

backend engineer

big data engineer

Mobileum

<div>
 
 
 About Us:
 
 
 
 
 
 
 Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Know our story: https://www.mobileum.com/
 
 
 
 
 
 Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.
 
 
 
 
 
 
 Join Mobileum Team
 
 
 
 
 
 
 At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!
 
 
 
 
 
 
 Role: Software Engineer
 
 
 
 
 
 
 About the Job:
 
 
 We are seeking a passionate and skilled Backend Engineer with strong expertise in Java-based backend development and big data frameworks such as Apache Spark and Hadoop. The candidate should have practical experience in building and optimizing data pipelines and APIs, with proven exposure to ClickHouse for large-scale analytical workloads.
 
 
 
 
 
 
 
 
 
 Roles &amp; Responsibility: -
 
 
 
 
 
 
 Design, develop, and maintain scalable backend services and data processing pipelines using Java and Apache Spark.
 
 
 Work with Hadoop ecosystem components (HDFS, YARN, Hive, Oozie, etc.) for distributed data processing.
 
 
 Optimize data storage, indexing, and query performance in ClickHouse for high-throughput analytical systems.
 
 
 Drive application design and architecture
 
 
 Apply test-driven development approach
 
 
 Write unit/integration tests, perform code reviews, and contribute to continuous integration and deployment pipelines.
 
 
 Monitor, troubleshoot, and improve system reliability and performance in production environments.
 
 
 
 
 
 
 Desired Profile: -
 
 
 
 
 
 
 Proactive &amp; team player
 
 
 Excellent oral and written communication skills
 
 
 Excellent problem-solving and troubleshooting skills
 
 
 
 
 
 
 Technical skills:
 
 
 
 
 
 
 Strong proficiency in Java
 
 
 Proficiency in Apache Spark
 
 
 Hands-on experience with ClickHouse
 
 
 Experience working with the Hadoop ecosystem (HDFS, YARN, Hive, Oozie, etc.).
 
 
 
 
 
 
 
 
 
 Work Experience:
 
 
 
 
 
 
 3+ years&rsquo; experience in a Backend role
 
 
 
 
 
 
 Educational Qualification:
 
 
 
 BE. / B.Tech., M.E./M.Tech. or M. Sc. in Computer Science / Electronics Engineering / MCA
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Know our story:
 
 https://www.mobileum.com/
 
 Follow us on:
 
 
 
 LinkedIn: https://www.linkedin.com/company/mobileum/
 
 
 Twitter: @MobileumInc
 
 
 Youtube: We are Mobileum
 
 
 
</div>

Software Engineer

Epiroc

<div>
 
 
 
 Data Engineer
 
 
 
 Do you get excited about making data the heartbeat of smarter decision-making?
 
 
 We&rsquo;re looking for a Data Engineer who will partner with AI and analytics teams to turn organizational data into a strategic advantage. Your work will help us optimize performance, anticipate challenges, and lead the way in intelligent production.
 
 
 Join us as we accelerate the transformation!
 
 
 
 Your mission
 
 
 
 Your mission is to deliver scalable, reliable, and secure data solutions by collaborating closely with business and technology teams. You will play a key role in designing and maintaining data pipelines and platforms that ensure high data quality, support advanced analytics, and drive continuous innovation across the organization.
 
 
 <ul>
 <li>
 Develop and maintain efficient data workflows and infrastructure using tools like SQL, Python, and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Ensure data quality, consistency, and security across systems.
 </li>
 <li>
 Monitor and improve pipeline performance and cost-effectiveness.
 </li>
 <li>
 Support data governance efforts through documentation and best practices.
 </li>
 <li>
 Contribute to the evolution of data architecture and provide guidance to team members when needed.
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 We&rsquo;re seeking a Data Engineer with 3&ndash;5 years of experience to help design and
 
 
 build scalable data pipelines that support analytics, reporting, and AI-driven
 
 
 solutions. This position involves working closely with data analysts and data scientists
 
 
 and business teams to understand requirements and deliver reliable, high-quality
 
 
 data systems.
 
 
 <ul>
 <li>
 Proficiency in working with cloud platforms such as Azure and AWS.
 </li>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Experience with various types of databases &mdash; relational (e.g., SQL Server, PostgreSQL), document-based (e.g., MongoDB), and graph databases (e.g., Neo4j or Cosmos DB).
 </li>
 <li>
 Knowledge of API integration, including setting up and consuming APIs and working with non-tabular data formats such as JSON or XML.
 </li>
 <li>
 Skilled in data pipeline development, data modeling, and performance optimization.
 </li>
 <li>
 A graduate degree in Computer Science, Software Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Location and other
 
 
 
 This position is in Bangalore,India.
 
 
 Occasional travel is required.
 
 
 
 Why Epiroc?
 
 
 
 By joining our team, you&rsquo;ll make a big difference in the energy transition. At Epiroc, we take pride in being passionate innovators, driving the change toward a brighter future for both people and the planet. Guided by our values of Collaboration, Commitment, and Innovation, we foster a culture of trust, growth, and lasting impact.
 
 
 To support your journey, we offer a competitive Total Rewards Package, including:
 
 
 <ul>
 <li>
 Global career opportunities
 </li>
 <li>
 Learning &amp; Development programs
 </li>
 <li>
 Benefits package, including variable compensation (bonus)
 </li>
 <li>
 Flexible work culture promoting balance and well-being
 </li>
 <li>
 Global Parental Leave Policy
 </li>
 <li>
 Community involvement
 
 
 </li>
 </ul>
 
 Epiroc
 
 is a global productivity partner for mining and construction customers, and accelerates the transformation toward a sustainable society. With ground-breaking technology, Epiroc develops and provides innovative and safe equipment, such as drill rigs, rock excavation and construction equipment and tools for surface and underground applications. The company also offers world-class service and other aftermarket support as well as solutions for automation, digitalization and electrification. Epiroc is based in Stockholm, Sweden, had revenues of more than SEK 60 billion in 2023, and has around 18 200 passionate employees supporting and collaborating with customers in around 150 countries. Learn more at www.epiroc.com.
</div>

Data Engineer

<div>
 
 About G2 - The Company
 
 
 
 When you join G2, you&rsquo;re joining the team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
 
 
 G2 is the world's largest and most trusted software marketplace. More than 100 million people annually &mdash; including employees at all Fortune 500 companies &mdash; use G2 to make smarter software decisions based on authentic peer reviews. Thousands of software and services companies of all sizes partner with G2 to build their reputation and grow their business &mdash; including Salesforce, HubSpot, Zoom, and Adobe. To learn more about where you go for software, visit www.g2.com and follow us on LinkedIn.
 
 
 As we continue on our growth journey, we are striving to be the most trusted data source in the age of AI for informing software buying decisions and go-to-market strategies. Does that sound exciting to you? Come join us as we try to reach our next PEAK!
 
 
 
 About G2 - Our People
 
 
 
 At G2, we have big goals, but we stay grounded in our PEAK (
 
 P
 
 erformance +
 
 E
 
 ntrepreneurship +
 
 A
 
 uthenticity +
 
 K
 
 indness) values. You&rsquo;ll be part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other&rsquo;s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
 
 
 You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.
 
 
 
 About The Role
 
 
 
 G2 is looking for a Data Engineer I, you'll be actively involved in designing and implementing data pipelines, focusing on ETL processes, and contributing to the optimization of data solutions within AWS and Snowflake environments. You'll work on data extraction, transformation, and loading, ensuring reliability and efficiency in data handling for the various use cases in our G2 Data Platform.
 
 
 
 In This Role, You Will
 
 
 
 
 Data Pipeline/ELT :
 
 
 
 <ul>
 <li>
 Design and develop data pipelines for data extraction, transformation, and loading of data from various sources into G2 Data Platform.
 </li>
 <li>
 Collaborate and actively take part in optimizing existing data pipelines for performance, scalability, and reliability, contributing to the enhancement of data workflows.
 </li>
 <li>
 Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance.
 </li>
 <li>
 Contribute to documenting processes, best practices, and solutions for future reference.
 </li>
 <li>
 Service data requests from various users of G2 data platform.
 </li>
 <li>
 Demonstrate excellent coding and debugging skills.
 
 
 </li>
 </ul>
 
 Business, Data Understanding And Impact
 
 
 
 <ul>
 <li>
 Designing and delivering data models/schemas
 </li>
 <li>
 Take part in architectural planning and implementation of the data platform, aligning solutions with organizational goals and industry best practices.
 </li>
 <li>
 As needed, assist other teams with reporting, debugging data accuracy issues and other related functions.
 </li>
 <li>
 Reporting on data quality and recommend ways to increase data cleanliness and improve our cleansing activities
 
 
 </li>
 </ul>
 
 Mentorship And Collaboration
 
 
 
 <ul>
 <li>
 Engage in continuous learning, staying updated on emerging trends and techniques in data engineering.
 </li>
 <li>
 Collaborate with peers, actively participating in knowledge sharing sessions and contributing to a collaborative team environment.
 </li>
 <li>
 Seek guidance and mentorship from senior team members to enhance technical and analytical skills.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 We realize applying for jobs can feel daunting at times. Even if you don&rsquo;t check all the boxes in the job description, we encourage you to apply anyway.
 
 
 <ul>
 <li>
 2+ years of experience as a data engineer or ETL developer.
 </li>
 <li>
 1+ years of development experience with sound skills in data modeling, database programming and data architecture.
 </li>
 <li>
 Experience in the design and development of data pipelines using Cloud and Open source tools.
 </li>
 <li>
 2+ years experience in Python and SQL programming
 </li>
 <li>
 Must have good knowledge of optimization and debugging of data pipelines.
 </li>
 <li>
 Basic knowledge about AWS services and cloud databases.
 </li>
 <li>
 Proficiency in handling structured and unstructured data.
 
 
 </li>
 </ul>
 
 What Can Help Your Application Stand Out
 
 
 
 <ul>
 <li>
 Experience with EDW and OLAP solutions.
 </li>
 <li>
 Working knowledge of SnowFlake.
 </li>
 <li>
 Experience with Big Data framework such as Spark, Treno etc
 
 
 </li>
 </ul>
 
 Our Commitment to Inclusivity and Diversity
 
 
 
 At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here.
 
 
 --
 
 
 For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job.
 
 
 
 How We Use AI Technology In Our Hiring Process
 
 
 
 G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.
 
 
 
 Your Choice Matters:
 
 If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way&mdash;we will ensure your materials receive a thorough manual review by our hiring team.
 
 
 For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice.
</div>

Data Engineer I

Microsoft

<div>
 
 Overview
 
 
 
 Our vision is to establish a trusted platform that enables productive and healthy enterprises in an era of AI transformation and remote work. We aim to solve our customers' business challenges by helping organizational leaders understand how AI is transforming outcomes and improving productivity. We deliver value through personalized and deep analysis of Copilot and AI adoption, recommending actions to enhance productivity.
 
 
 We embrace a startup culture, dreaming big, working hands-on with customers, and building innovative solutions. Our mission is to empower individuals, managers, and leaders to leverage insights for productivity and business resilience in the world of AI evolution.
 
 
 We seek individuals with a solid passion for technology, intellectual curiosity, and a willingness to learn and share. This opportunity allows you to make a broad positive impact using a range of software tools and services, including large-scale interactive data analytics, scalable map-reduce compute, machine learning and AI, LLM models, service and data engineering, security, compliance, and service management. We process hundreds of millions of users and billions of activity signals daily to deliver value to our customers.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive detailed design and implementation of a highly scalable distributed, big data and analytics cloud service that serves interactive and intelligent data insights.
 </li>
 <li>
 Be a key contributor to delivering a high-quality, highly available service that meets customer SLAs across the globe.
 </li>
 <li>
 Drive thinking and improvements for systems and engineering processes with simplicity and maintainability as core tenets.
 </li>
 <li>
 Deliver value through a strong collaborative approach spanning many teams across geographies.
 </li>
 <li>
 Mentor and develop junior engineers through sharing and learning.
 </li>
 <li>
 Be a role model for open, honest, and inclusive approach to problem solving.
 </li>
 <li>
 Collaborate with appropriate stakeholders to determine user requirements for a scenario.
 </li>
 <li>
 Drive identification of dependencies and the development of design documents for a product, application, service, or platform1.
 </li>
 <li>
 Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
 </li>
 <li>
 Leverage subject-matter expertise of product features and partner with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
 </li>
 <li>
 Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 3+ years of hands-on software design and coding experience.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Good technical, cross group collaboration and communication skills
 </li>
 <li>
 Customer-focused innovation
 </li>
 <li>
 Knowledge of modern engineering practices like automated deployments with integrated quality gates and experience working with modern version control systems like Git
 </li>
 <li>
 Demonstrated depth and experience in design and implementation of large-scale cloud services
 </li>
 <li>
 Building extensible and maintainable services that last the test of time
 </li>
 <li>
 Experience with data analysis and machine learning
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer II (Full Stack)

Brillio

<div>
 
 About the Role
 
 
 Role Overview
 
 
 We are seeking a Build and Deploy Engineer with strong experience in ETL tools (DataStage, SSIS, IICS), Python, and UNIX scripting to support, maintain, and enhance data integration workflows for a leading banking client. The role involves build, release management, automation, and environment support for mission-critical data systems.
 
 
 ---
 
 
 Key Responsibilities
 
 
 &middot; Manage and execute build, deployment, and release activities for ETL applications (DataStage, SSIS, IICS).
 
 
 &middot; Automate deployment processes and environment setup using Python and UNIX shell scripting.
 
 
 &middot; Monitor and support ETL job executions, ensuring adherence to SLAs and minimizing downtime.
 
 
 &middot; Perform root cause analysis (RCA) and coordinate with development teams for resolution of build or deployment issues.
 
 
 &middot; Handle version control, code migration, and release coordination across Dev, UAT, and Production environments.
 
 
 &middot; Work with DBAs, system admins, and application teams to ensure environment stability and successful deployments.
 
 
 &middot; Maintain release documentation, build logs, and configuration records for audit compliance.
 
 
 &middot; Participate in Change Advisory Board (CAB) reviews and ensure adherence to ITIL change management processes.
 
 
 &middot; Provide 24x7 support during major releases and critical deployments.
 
 
 ---
 
 
 Technical Skills
 
 
 &middot; ETL Tools: IBM DataStage, Microsoft SSIS, Informatica IICS
 
 
 &middot; Languages &amp; Scripting: Python, UNIX shell scripting (mandatory)
 
 
 &middot; Databases: Oracle, SQL Server, Netezza, Snowflake (optional)
 
 
 &middot; Version Control: Git, Bitbucket, or similar
 
 
 &middot; CI/CD Tools: Jenkins, Azure DevOps, Control-M (nice to have)
 
 
 &middot; Operating Systems: UNIX/Linux, Windows
 
 
 &middot; Other Tools: ServiceNow, JIRA, or similar ITSM tools
 
 
 ---
 
 
 Domain &amp; Soft Skills
 
 
 &middot; Experience working in banking or financial services data environments.
 
 
 &middot; Strong knowledge of release governance, audit, and deployment compliance.
 
 
 &middot; Excellent troubleshooting, analytical, and problem-solving skills in data integration workflows.
 
 
 &middot; Ability to work in 24x7 managed services support models.
 
 
 &middot; Strong communication, documentation, and coordination skills across teams.
 
 
 ---
 
 
 Preferred Qualifications
 
 
 &middot; Experience in ETL deployment automation using Python or UNIX scripts.
 
 
 &middot; Familiarity with DataOps, CI/CD, or cloud migration pipelines.
 
 
 &middot; ITIL Foundation certification (preferred).
 
 
 
</div>

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

Cisco

<div>
 
 Meet the Team
 
 
 
 The
 
 Product Operations &ndash; Business Intelligence (BI) team
 
 sits at the heart of the Supply Chain organization, where data meets real-world decision-making. We tackle some of the most complex operational challenges by combining advanced analytics, BI solutions, and cutting-edge AI/GenAI capabilities. Our mission is to transform data into action&mdash;driving deeper insights, increasing operational efficiency, and enabling smarter, faster decisions across the entire supply chain. We don&rsquo;t just report on the business; we help shape its future.
 
 
 
 Your Impact
 
 
 
 This role is ideal for someone who thrives on solving complex data problems, designing AI solutions, and contributing to large-scale transformation programs.
 
 
 
 As a Data Scientist, You Will
 
 
 
 <ul>
 <li>
 Partner with business units and supply chain stakeholders to understand their analytics needs and translate them into scalable AI solutions.
 </li>
 <li>
 Design, develop, and implement intuitive models and AI solutions
 </li>
 <li>
 Take the lead on supply chain transformation analytics&mdash;owning everything from doing POCs to production solution deployment.
 </li>
 <li>
 Collaborate with architects, business partners (GPOs, BU verticals), and IT to define use cases and design data-driven capabilities that deliver tangible business outcomes.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI/ML, or a related field.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning roles, ideally within supply chain, operations, or manufacturing domains.
 </li>
 <li>
 Hands-on experience with: Large Language Models (LLMs),Transformer architectures and fine-tuning model to Domain specific needs.
 </li>
 <li>
 Generative AI models using frameworks such as Hugging Face, LangChain, Lang Smith, Lang graph or OpenAI APIs, Llama index
 </li>
 <li>
 Experience in building AI Agents and other advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for sophisticated Gen AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with software engineering skills, real-time analytics, ML model APIs, Rest API development or serverless architectures.
 </li>
 <li>
 Familiarity with data governance, privacy, and responsible AI practices.
 </li>
 <li>
 Prior work in supply chain analytics or operational data science.
 </li>
 <li>
 Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus.
 
 
 </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>

Data Scientist – Supply Chain

Explore 609+ Big data engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.

609 big data engineer jobs IN Mangaluru

Software Engineer

Data Engineer

Data Engineer I

Software Engineer II (Full Stack)

Data Engineer

Growth Data Scientist

Data Scientist – Supply Chain