6 Scientist Iii Jobs

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Are you passionate about shaping the future of travel? Do you want to redefine how people plan, search, and book their journeys? At Expedia Group, we believe travel connects the world and were driven by the endless possibilities it creates. We re looking for a skilled and driven Data Scientist III to support our content product teams with deep analytics and decision-making insights. This role collaborates cross-functionally with product, engineering, data, strategy, and other business units to optimize user engagement, conversion, traffic, and support the development of innovative content products. In this role, you will: Deliver actionable insights into customer behavior and identify opportunities to improve our site and app experiences for travelers worldwide. Partner closely with product managers and engineers to design, implement, and analyze A/B tests and other experimentation frameworks. Act as a trusted analytics advisor to cross-functional teams, offering clear communication and updates on project progress and outcomes. Collaborate with data engineering to design and maintain scalable, efficient data pipelines and infrastructure. Develop and maintain robust dashboards and automated reporting tools to streamline recurring analysis. Frame complex business problems, extract and analyze data, and present key findings to leadership and stakeholders. Own and drive high-impact analytical projects from conception through execution. Experience and qualifications: 5+ years of experience in quantitative analysis, with a passion for tackling complex business problems. Proficient in SQL and Excel, with hands-on experience using Python and/or PySpark for data transformation, analysis, and visualization. Familiar with machine learning techniques, including supervised and unsupervised models. Experienced in advanced analytics methods such as predictive modeling, hypothesis testing, A/B testing, and quasi-experimental design. Skilled in data visualization using tools like Tableau. Experience with Adobe Analytics or Google Analytics is a plus. Able to thrive in a fast-paced, dynamic environment, balancing multiple priorities with strong ownership and proactive problem-solving skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. . Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Project Research Scientist-III (Non Medical) Position Starting: No. of Vacancy: Preferred Qualifications: Ph D (Social work with Community Development specialisation) Maximum Age Limit Salary: Rs 1,01,400/- Consolidated (Rupees One lakh one thousand four hundred only) including HRA, (This includes all expenses like statutory deductions etc.) Experience: Post Ph.D experience of 10 years with experience of co-ordinating community based research projects Last Day for Receiving Application: 15th June 2025 Roles and Responsibilities : Take complete responsibility for co-ordinating all field activities and report to the principal investigator - Prepare reports for monthly appraisal - Ensure quality of data collection and data entry -Training field staff to administer questionnaire and community based work

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. - 3+ years of building machine learning models for business application experience - PhD, or Masters degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc.

Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What You Will Do Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead an analytic solution module, or work as part of larger team in data science projects Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Work with customer centric mindset to deliver high quality business driven analytic solution Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What You Will Bring Bachelors with > 5 years of relevant experience OR Masters with > 3 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms Experience in AdTech domain. Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Experience with BigQuery, SQL and relational databases, data warehouse

Project Research Scientist-III(Non Medical)-ICMR-ADAM Project Division none Contact Person HR Job Details Brief Description about the Project The ADAM project ( Advancing Diabetes Management ) aims to integrate Continuous Glucose Monitoring (CGM) with an AI-powered Virtual Dietician (VD) to provide personalized dietary recommendations for individuals with Type 2 Diabetes Mellitus (T2DM) . The study will assess how carbohydrate-restricted diets impact blood glucose levels and evaluate the effectiveness of an AI-driven dietary intervention in improving glycemic control . Using machine learning models , the Virtual Dietician will analyze CGM data in real-time to offer customized meal plans , ensuring optimal nutrient intake while maintaining stable glucose levels. This innovative approach bridges the gap between clinical research and real-world diabetes management , enhancing personalized care through artificial intelligence and digital health solutions . Project Research Scientist III (Non-Medical) Position Starting: 1st April 2025 No. of Vacancy: One Preferred Qualifications: M.Sc Computer Science Salary: Rs. 101400/-pm Language : English Experience: Over 5 years of professional experience in the industry, complemented by 3+ years of research expertise in AI, Data Science and machine learning. Last Day for Receiving Application: 21th March, 2025 Location: Bangalore Roles and Responsibilities : 1. Develop and Optimize AI Models Build and refine machine learning models for dietary recommendation and glycemic response prediction in diabetes management. 2. Integrate AI with Continuous Glucose Monitoring (CGM) Implement real-time AI-driven analytics to provide personalized dietary feedback using CGM data. 3. Enhance Virtual Dietician Tool Fine-tune the AI-powered Virtual Dietician to deliver personalized, nutrient-optimized meal plans based on user preferences and glycemic responses. 4. Ensure Model Performance and Validation Conduct rigorous training, testing, and validation of AI models to maintain accuracy in dietary recommendations and blood glucose predictions. 5. Collaborate with Healthcare and Research Teams Work closely with medical professionals, nutritionists, and data scientists to align AI applications with clinical and research needs. The Principal Investigator

Non Division User Contact Person HR Job Details Brief Description about the Project The study comprises two phases: Phase 1 involves a longitudinal study on Type 2 DM patients aged 18-65. CGM devices will monitor blood glucose for 14 days, while dietary recall will be conducted using the Virtual Dietician app. Results will inform modifications to the VDs diet optimization tool to enhance glucose control and prevent hypoglycemia while meeting personalized micronutrient requirements. Phase 2 consists of an (RCT) comparing Usual Care to Enhanced Care groups, both using CGM. The Enhanced Care group will additionally receive the AI-based Virtual Dietician app for personalized dietary recommendations based on phase 1 optimizations. Project Research Scientist III (Medical Doctor) Position Starting: 1st April 2025 No. of Vacancy: One Preferred Qualifications: M.D Language : English and Kannada Experience: Minimum 1 year experience in managing people with diabetes. Last Day for Receiving Application: 25th March, 2025 Location: Bangalore Roles and Responsibilities : Recruitment of patients from the OPD for the trial( both phase 1 and 2) Daily Monitoring and Follow up of participants throughout the course of the study period. Home visits to participants during Phase 2 of the trial The Principal Investigator