Data Scientist, Global Growth

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. JOB RESPONSIBILITIES * You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers. * You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques. * You will develop and implement data science strategies that drive measurable business results. * You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. * You will interact with clients from diverse domains, addressing their challenging problems. * You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space. * You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc). * You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. * You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. * You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. * You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. * You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. * You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. * You are aware of data privacy regulations and ethical standards when handling sensitive information. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.  In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA #singapore     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.