data scientist

data analyst

product analyst

software engineer

product designer ii

applied scientist 3

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 4

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 3

Cashfree Payments

<div>
 
 Cashfree Payments is India&rsquo;s leading payments and API banking company. It provides full-stack payment solutions for businesses in India to accept payments and make payouts via 180+ payment modes - all with a simple integration. Over 6,00,000+ Businesses trust Cashfree Payments with payment collections, vendor payouts, salary payouts, bulk refunds, expense reimbursements, loyalty and rewards, and so much more.
 
 
 We enable businesses of all we are building the payments infrastructure of tomorrow, today.
 
 
 We entered the payments industry in 2015 to facilitate Cash-on-Delivery payments for e-commerce businesses. We are also contributing to the pace of digitization of India by working closely with traditional banks to increase ease and convenience for last-mile customers.
 
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 As the Data Scientist-2, you will :
 
 
 &bull; Work with stakeholders to define and own data science road map for one or more business areas and build the data science projects at Cashfree from scratch.
 
 
 &bull; Deliver scalable machine learning solutions to production
 
 
 &bull; Provide technical and scientific leadership to the team
 
 
 &bull; Roll up your sleeves and do hands-on work when needed
 
 
 &bull; Build strong working relationships and collaboration with leaders in product, business, and engineering teams
 
 
 &bull; Establish and improve the best data science and engineering practices for the team
 
 
 &bull; Maintain a healthy balance between delivery and applied research
 
 
 
 
 
 
 Profile :
 
 
 
 &bull; In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
 
 
 &bull; 3+ years of experience in applying machine learning and statistical methods to solve complex problems at scale.
 
 
 &bull; Experience with big data technologies
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Everyone is empowered to make decisions.
 </li>
 <li>
 Transparency in communication keep us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
 </li>
 <li>
 You also have flexible timings and a great office space to work in.
 </li>
 <li>
 Meal coupons and Uber Credits.
 </li>
 </ul>
</div>

Data Scientist-2

Chevron

<div>
 
 About The Position
 
 
 
 Chevron ENGINE is looking for high-performing candidates to join our Reservoir Modeling team with a focus on digital solutions development in object-oriented languages including C#, C++, Java; Azure ecosystems developments. The Reservoir Modeling team focuses on field development/application as well as technology development.
 
 
 This is a mid-career position in the Chevron ENGINE Earth Science Chapter for a knowledgeable earth scientist practitioner with digital solutions development (SLB Ocean and Petrel) applied to the subsurface domain.
 
 
 This role performs Reservoir Modeling related digital solutions development to support Chevron operations. Will be involved in enhancing Chevron&rsquo;s Reservoir Characterization and Modeling workflows to provide differentiating capability and integration of a mix of proprietary and best-in-class vendor products.
 
 
 The Reservoir Modeling and Digital Solutions Earth Scientist should have sufficient experience and expertise to deliver products with support from the Digital Platform
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for the development and/or deployment of existing and new technology and workflows to solve key business challenges across Chevron.
 </li>
 <li>
 The job involves integration of geological, petrophysical, geophysical and engineering data to create reservoir models used for resource evaluation and production forecasting.
 </li>
 <li>
 Provides support to the Digital Platform, and is responsible for running, maintaining, supporting users and improving the Geology suite of Petrel-plugins.
 </li>
 <li>
 Contributes to the development of new Geological plug-ins in Petrel (e.g. coding in Ocean, development of user interfaces and algorithms).
 </li>
 <li>
 Targeted user-experience and data management development (e.g., GUI, Power-BI, data engineering, Machine Learning engineering, and mature digital minimum viable products)
 </li>
 <li>
 Teaming with US-based R&amp;D groups focusing on developing and deploying reservoir modeling and geology products and workflows.
 </li>
 <li>
 Application testing, pipeline, build and release in cloud platform.
 </li>
 <li>
 Development of technical digital solutions and training documentation
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 MSc/PHD degree in Earth Science or Engineering.
 </li>
 <li>
 Demonstrated fluency in digital solutions development in object-oriented languages including C#, C++, Java; Azure ecosystems developments (pipelines, dashboards, visualization, data management systems).
 </li>
 <li>
 At least five years of experience in Earth Science or Engineering or related industry.
 </li>
 <li>
 Proficiency with Petrel or equivalent Earth Modeling suite.
 </li>
 <li>
 Understanding of physical processes associated with earth science, reservoir modeling and subsurface.
 </li>
 <li>
 Experience with customer support and understanding of subsurface business needs and utilizing Scaled Agile Framework (SAFe) processes to implement highly prioritized features.
 </li>
 <li>
 Good communication skills and ability to work effectively in a team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Fundamental knowledge of geological workflows applied to subsurface.
 </li>
 <li>
 Familiarity with SLB Ocean development framework.
 </li>
 <li>
 Skills of using Machine Learning/AI to accelerate performance, and accuracy of reservoir characterization and modeling.
 </li>
 <li>
 Direct experience with discretization of reservoir models.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
 
 
 Chevron participates in E-Verify in certain locations as required by law.
</div>

Reservoir Modeling Digital Solutions Earth Scientist

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

CoffeeBeans

<div>
 
 
 About CoffeeBeans Consulting
 
 
 
 CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.
 
 
 
 
 
 
 
 
 
 
 
 Role Overvi
 
 
 
 ewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistant
 
 
 s.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI application
 
 
 
 
 
 
 
 
 
 s.
 
 
 Key Responsibili
 
 
 
 
 tiesML &amp; Data Sci
 
 
 <ul>
 <li>
 enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
 </li>
 <li>
 cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
 </li>
 <li>
 ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
 </li>
 <li>
 ons.Contribute to experimentation frameworks and model reproducibility best practi
 </li>
 </ul>
 
 
 
 
 
 ces.
 
 GenAI &amp; LLM Applica
 
 
 <ul>
 <li>
 tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
 </li>
 <li>
 ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
 </li>
 <li>
 tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
 </li>
 <li>
 ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop
 </li>
 </ul>
 
 
 
 
 
 ment.
 
 Product &amp; Engineering Collabo
 
 
 <ul>
 <li>
 rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
 </li>
 <li>
 time).Assist in building APIs and data pipelines needed for productionizing m
 </li>
 <li>
 odels.Contribute to technical documentation, explainability reports, and client presenta
 </li>
 </ul>
 
 
 
 
 
 tions.
 
 Team &amp;
 
 
 <ul>
 <li>
 GrowthMentor junior data scientists and review code/model
 </li>
 <li>
 design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
 </li>
 <li>
 rnally.Participate in discovery and solutioning phases with clients alongside tech leads a
 </li>
 </ul>
 
 
 
 
 
 
 
 
 nd PMs.
 
 
 Required Skills &amp; Quali
 
 
 <ul>
 <li>
 ficationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
 </li>
 <li>
 ed field.3&ndash;5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
 </li>
 <li>
 utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
 </li>
 <li>
 M, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or
 </li>
 <li>
 similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM
 </li>
 <li>
 outputs.Proficiency in SQL and data wrangling tools (pandas
 </li>
 <li>
 , NumPy).Experience working with REST APIs, Git, and cloud environments (
 </li>
 </ul>
 
 
 
 
 
 
 
 
 AWS/GCP).
 
 
 Good-to-
 
 
 <ul>
 <li>
 Have SkillsExperience with deploying models via FastAPI, Docker, or serverless
 </li>
 <li>
 platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
 </li>
 <li>
 frameworks.Experience with embeddings, vector databases, and similar
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ity search.
 
 
 What You Can Expect a
 
 
 <ul>
 <li>
 t CoffeeBeansWork on real-world AI/ML problems acro
 </li>
 <li>
 ss verticals.Be part of a fast-moving team delivering end-to-end ML &amp;
 </li>
 <li>
 ; GenAI apps.Collaborate with experienced engineers and PMs in a flat and
 </li>
 <li>
 open culture.Opportunities to lead, mentor, and influence te
 </li>
 </ul>
 
 
 
 ch direction.
</div>

Data Scientist

Deloitte

<div>
 
 
 Customer Strategy &amp; Insights (Data Scientist/Data Engineer)
 
 
 
 
 Location:
 
 Deloitte - Bellandur, Bengaluru (Must)
 
 
 
 Shift:
 
 US/PST Shift
 
 
 
 Experience Level:
 
 3&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days only.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking experienced and business-savvy
 
 Data Scientist/Data Engineer
 
 to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform exploratory data analysis and generate actionable insights.
 </li>
 <li>
 Work on classification, regression, clustering, recommendation, and forecasting models.
 </li>
 <li>
 Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, business analysts and product owners.
 </li>
 <li>
 Develop and deploy machine learning models to solve real-world business challenges.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3&ndash;9 years of hands-on experience in data science.
 </li>
 <li>
 Expertise in
 
 Python/R
 
 and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and data wrangling
 </li>
 <li>
 Strong statistical grounding and experience with
 
 A/B testing
 
 , hypothesis testing
 </li>
 <li>
 Cloud platform experience (GCP preferred; AWS/Azure acceptable)
 </li>
 <li>
 Excellent communication, storytelling, and stakeholder engagement skills
 </li>
 <li>
 Consulting background or experience working with global clients is highly valued
 </li>
 <li>
 Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
 </li>
 </ul>
 
 
 
 
 
 Additional Notes:
 
 
 <ul>
 <li>
 The first project requires working in
 
 US/PST hours
 
 from the
 
 Deloitte-Bellandur office all 5 days a week
 
 .
 </li>
 <li>
 Future projects might align to
 
 standard Indian business hours
 
 .
 </li>
 </ul>
</div>

Explore 182+ Applied scientist 3 in Mangaluru this September. Find roles across top companies and apply now to boost your career.

182 applied scientist 3 jobs IN Mangaluru

Applied Scientist 4

Applied Scientist 3

Data Scientist-2

Reservoir Modeling Digital Solutions Earth Scientist

Senior Data Scientist, Supply Chain

Data Scientist

Data Scientist