5 Scientist Iii Jobs

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.