13 Scientist Iii Jobs

What You Will Need Bachelors/Masters degree in computer science (or similar degrees) 4-7 years of experience as a Data Scienti st in a fast-paced organizati on, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Stati sti cs and Linear Algebra Strong understanding of hypothesis/model testi ng and ability to identi fy common modeltesti ng errors Experience designing and running A/B tests and drawing insights from them Profi ciency in machine learning algorithms Excellent analyti cal skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalizati on or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift Algorithms, Apache Spark, Data Science, Etl, Large Scale, Linear Algebra, Ml, Neural Netwoks, Python, Sql

Project Research Scientist -III (Non-Medical)-ICMR - CAR -MEDTECH Project SJRI | St. Johns Research Institute Project Research Scientist -III (Non-Medical)-ICMR - CAR -MEDTECH Project Non Division User ICMR - CAR -MEDTECH Project Ms. for Advance Research (CAR) on Medical Devices Development, Characterization and Validation : A clinical trials approach: Aims to provide a comprehensive platform for the end-to-end development, testing, and validation of medical devices. Project Research Scientist -III (Non-Medical) No.of Vacancy:One Prefered Qualifications: Post graduate Degree or PhD in Lifesciences, Pharmacology and Biomedical engineering with experience (Five years) in conducting large scale intervention studies. Minimum of 5 years English, Kannada, Telugu, Tamil, Hindi Salary:Rs.99,060/- per month Roles and Responsibilities: E xperience and proficiency in designing and executing clinical and pharmaceutical/medical device trials. Experience in conducting large-scale intervention efficiency and effectiveness studies or Phase III trials. Responsible for managing the daily operations of all aspects of the research project. Supervise staff involved in the delivery and evaluation of the intervention, data entry, and data management in coordination with the on-site. Supervise data collection staff, including recruitment, enrolment, and follow-up of study participants to ensure adherence to study protocol. Coordinate all pieces of the intervention in collaboration with the Principal Investigator and field coordinators. Coordinate regular project staff meetings and maintain meeting agendas and implement ongoing project evaluation and quality control measures in coordination with key project investigators. Write regular project reports with consultation from the on-site. Provide the ICMR team with project information for grant management and reporting requirements. Overseeing the budget and coordinating with the St. John s Research Institute to maintain accounting per protocols established by the ICMR. Experience in publishing papers in reputed journals.

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. Machine Learning Scientist III (Bangalore) Introduction to team The Traveler Business Team builds and drives growth for our global consumer businesses Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business. If youre ready for your next challenge and want to innovate in a forward-thinking and cutting-edge team, we want to speak with you! We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning! In this role, you will: Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes. Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact. Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives. Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions. Contribute to the success of Expedias ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams. Experience and Qualifications: Master s Degree or PhD preferred in a related field, or equivalent related professional experience Proficient in one or more data science programming languages (Python, Java, R). Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more. Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value. Accustomed to collaborative, fun work environments. 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. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. 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 (Medical) ( Jr. Radiologist )- ICMR SecureUS Project SJRI | St. Johns Research Institute Project Research Scientist - III (Medical) ( Jr. Radiologist )- ICMR SecureUS Project Non Division User ICMR SecureUS Project Ms. Lincy Thomas 080-49467010 /49467011/ 49467021 Job Details Brief Description about the Project The ICMR-funded SecureUltrasound (SecureUS) Project is an innovative initiative focused on developing and validating a screenless ultrasound device aimed at addressing critical challenges in maternal healthcare. This project is driven by the need to improve the accessibility of Ultrasound and the ease of use in primary care settings and also overcome the shortage of skilled ultrasound operators in rural Indian health centers. This project is undertaken by Division of Medical Informatics at St. John s Research Institute and the India Institute of Science in Bangalore, which makes use of innovative tools and techniques to drive health systems research and healthcare innovation for improving healthcare outcomes with meaningful use of data. Project Research Scientist - III (Medical) ( Jr. Radiologist ) No. of Vacancy: Preferred Qualifications: MBBS with six months training in the Fundamentals in Abdomino- Pelvic Ultra sonography . Maximum Age Limit Hindi, Telugu, Tamil (Optional) Experience: Professional with 0-1 years experience in performing Radiology Imaging techniques would be preferred. Valid MCI/State Medical Council registration Employment Status: Contract (Initially for 6 month, extendable based on performance) Roles and Responsibilities: 1. Perform and interpret obstetric ultrasound scans at field and facility-level study sites. 2. Support the validation process of the secure ultrasound device by comparing scan results between conventional Ultrasound Machine (Gold Standard Device) and a prototype Ultrasound device (V1-Device). 3. Assist in the development of standardized protocols for scan acquisition and reporting. Lead and coordinate the research activities of the SecureUS Project. 4. Should be willing to visit collaborating project sites in and around Bangalore, for field validation, stakeholder studies and to perform the scheduled scans. 5. Coordinate and liaise with state and national-level government bureaucrats and officials to update on project activities and progress. 6. Coordinate with health facility staff (government and private) for conducting the study in health facilities) 7. Recruit and obtain consent from participants 8. Collaborate with multidisciplinary teams and work closely with engineering and design teams to improve image quality and clinical utility of the prototype device. 9. Maintain scan records and ensure adherence to ethical and legal frameworks, including the PCPNDT Act. 10. Contribute to data quality checks and audit processes 11. Train and supervise the staff on project related activities 12. Prepare and publish scientific papers, reports, and presentations based on research findings. 13. Ensure compliance with regulatory and institutional guidelines, including ethics committee approvals. 14. Participate in grant writing and research proposal development to secure additional funding for project expansion. 15. Monitor project timelines, deliverables, and financial management related to research activities.

Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project SJRI | St. Johns Research Institute Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project Non Division User Ms. 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)-Statistician No. of Vacancy: Preferred Qualifications: M.Sc Statistics Maximum Age Limit Experience: Over 4 years of professional experience in the industry, complemented by 3+ years of research expertise in Mathematical and Statistical modeling. Last Day for Receiving Application: Roles and Responsibilities: 1. Design Personalized Nutrition Plans - Develop data-driven, individualized meal recommendations that optimize nutritional intake, support health goals, and accommodate dietary preferences or medical conditions. 2. Model Development & Optimization - Build, train, and refine machine learning models for personalized dietary guidance and glycemic response prediction, with a focus on diabetes management and metabolic health. 3. Enhance AI-Powered Virtual Dietitian - Fine-tune and expand the capabilities of the AI-driven Virtual Dietitian tool to generate adaptive, nutrient-balanced meal plans aligned with user inputs, behavioral patterns, and health outcomes. 4. Collaborate with Healthcare and Research Teams Work closely with medical professionals, nutritionists, and data scientists to align AI applications with clinical and research needs.

Data Scientist III Data Science 1 About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. You ll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e.g., retention, monetization, user segmentation, etc.). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc.). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 5-7 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc.). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

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. Actuarial Data Scientist III We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. In this role, you will be a pivotal contributor in supporting the growth and development of FinTech and insurance products. Your role will be highly analytical, with a primary focus on leveraging data to enhance our product offerings. You will have the opportunity to influence Expedias financial outcomes and collaborate with senior leadership and external partners. What youll do: Play a key role in data-driven product development for FinTech products like cancelation for any reason Apply actuarial principles to evaluate and enhance insurance product offerings and pricing strategies Conduct valuation of insurance products and assess associated liabilities Manage and optimize our reserving fund, collaborating as needed with external actuaries from partner insurance organizations Provide actuarial insights and guidance throughout the product life cycle to ensure competitive pricing and efficient claims management Design end-to-end actuarial processes to support the development and pricing of scalable InsurTech products with a focus on FinTech Ensure compliance with relevant legal and accounting requirements, which may encompass both US and international standards Analyze data and build predictive models using tools such as Python and R to support product development Collaborate effectively with the broader product team within a coding environment while adhering to model development and maintenance best practices Who you are: A bachelors degree in a STEM field or equivalent experience A strong understanding of actuarial principles with an Associate or Fellow Actuary designation (FIA, FCAS, FSA, AIA, ACAS, ASA) Minimum of 4 years of experience in actuarial or analytical roles Proficiency in analyzing traditional insurance and non-traditional data sets using SQL Experience in conducting analyses in Excel and programming languages such as R and Python Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc Proven experience in effectively communicating and collaborating with cross-functional teams Preferred: An advanced degree in actuarial science, mathematics, statistics, or related fields, along with 5+ years of directly relevant actuarial experience Preferred: A strong background in the insurance industry, ideally with experience in FinTech insurance products Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms 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. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. 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.

Data Scientist III Data Science 1 About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. You ll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e. g. , retention, monetization, user segmentation, etc. ). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc. ). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 5 7 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc. ). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

The Data Scientist III is a subject matter expert in data analytics and business analysis They perform analysis, design, development and optimization activities in support of data quality and data validation They also play a critical role in defining and creating the future state of data and analytics in the enterprise Team members are expected to build trust and relationships through effective communication with both technical and non technical partners within multiple departments to facilitate success A successful individual in this role is a leader who has and imparts business knowledge, data analytics and business analysis expertise related to the sources and uses of data for business analytics and decisioning

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the Team: HackerRank s Machine Learning team is working on the cutting edge of AI. We re actively researching and building solutions for a number of exciting initiatives, including plagiarism detection within our Integrity Workstream, how LLMs perform across the SDLC via our ASTRA evaluation harness and benchmark, the types of datasets that can further improve LLMs on software engineering tasks, and finally how far we can take software development agents with our rich datasets. About the Role: As the leading software developer assessment platform, maintaining our platform s integrity is critical. HackerRank s ML Team is working to leverage machine learning and AI solutions to build industry-leading plagiarism detection solutions. As an ML Scientist III, based in Bangalore, you ll be working closely with the Integrity Product & Engineering team to deliver robust and scalable ML and AI-powered solutions for complex integrity problems. You ll also be a key part of developing HackerRanks Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions. What youll do: Identify business opportunities best suited for machine learning and set the score, vision, and strategy to execute those opportunities. Set the foundations and define best practices for machine learning efforts at HackerRank. Identify opportunities and drive improvements to existing machine learning efforts. Productionize machine learning models, for example, by balancing model performance with memory and latency requirements. You will thrive in this role if you: You are rigorous about applying strong machine learning fundamentals to problems, meaning that you don t jump to an ML-based solution if one isn t needed. You know how to set up and quickly execute a number of experiments to figure out the right solution. You ve got a good balance of software and ML skills, and aren t afraid to do some hands-on data labelling yourself. You care deeply about customer satisfaction and take ownership of understanding the products you re working on. You thrive in a high-ambiguity environment that requires a lot of collaboration with peers across functions. What you bring: Advanced degree (Masters) in Computer Science, Machine Learning, Data Science, or a related field. Overall, 5+ years of experience as a Machine Learning Scientist or a similar role. Proven experience in machine learning, with a strong emphasis on classical and statistical methods as well as deep neural networks & a strong background in math & statistics for machine learning applications. Experience in full ownership of the machine learning model lifecycles, including data preparation and system deployment. Experience developing medium to large-scale data pipelines. Demonstrated experience in preparing datasets and conducting evaluations of machine learning models. Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) . Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities. Bonus: Experience in benchmarking and performance evaluation of LLMs & designing high-scale data pipelines. Bonus: Published research in relevant fields. Bonus: Familiarity with coding challenges and competitive programming. Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here . HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

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.