Welcome to Enclave ODC Ltd. We hope you have found some interest by searching on our website. Please contact us for more information. Senior Data Scientist Job Level : Senior Working Location : Remote from Danang Position Type : Full-time JOB SUMMARY: The Product Data Science team seeks a Data Scientist adept in Software and Data Engineering to leverage extensive data, and aid Enclave Client engineers in developing reliable, appealing products. The team acquires and assesses real-time device and platform data safely to support Enclave Client's design and development, utilizing software tools to orchestrate data analyses. The Product Data Science team uses data and data science to build new features and abilities into device and platform products, facilitated by automated data engineering tools that enable a complex analysis of real-time tests and fleet devices. In this role, you will work as a key member of a fast-growing team, being involved in all steps of our MLOps pipeline. On a given day you may find yourself cleaning and embedding datasets, prototyping, tuning models, managing data drift, and planning out world-class solutions to novel and varied problems. Additionally, you will deliver analyses and presentations that will drive product design and improve customer lives. RESPONSIBILITIES: Efficiently develop and implement statistical and Machine Learning (ML) solutions to problems in varying domains (e.g. computer vision, dimension reduction, time series, regression, anomaly detection, audio, etc.) Deploy, monitor, and improve production of cloud-based ML models Develop relevant and impactful analyses, creating a deep understanding of our business, market, products, and customers Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failure Adapt, learn, grow, and teach to deliver world-class products and solutions Work closely with other product engineers to create/interpret/validate numeric models of fielded and in-test product Contribute to the automation and standardization of our MLOps pipelines, operations and build systems Build visualizations to communicate results effectively REQUIRED QUALIFICATIONS: Bachelor's Degree and 5+ years of work experience in data science, machine learning, or software development Experience developing and monitoring consumer-facing AI Experience in applying frequentist or Bayesian statistics to test hypotheses and judge confidence levels Experience with Tensorflow or Pytorch Experience in Python, SQL, Docker, and Git Demonstrable experience making highly informational, easily interpreted visualizations Intermediate Experience with AWS and AWS CLI Effective communication PREFERRED QUALIFICATIONS: Advanced Degree in a quantitative field Experience with signal process or time series analysis Experience in Databricks Experience in PowerBI Work experience in IoT or ML at the edge Intermediate Experience with MLOps. Please, submit your CV at ****** . Or you can reach us via below contacts for further information: HR Hotline: +84 (2363) 574 900 (press 2) During our sprint review meetings last week, when we were discussing what went well in the sprint, all three of my development teams mentioned the great work that your testing team was doing, and how much they are helping this project. I personally really enjoy working with all of them as well. I just wanted to say thank you very much for everything they're doing – you have built a great team there! During our sprint review meetings last week, when we were discussing what went well in the sprint, all three of my development teams mentioned the great work that your testing team was doing, and how much they are helping this project. I personally really enjoy working with all of them as well. I just wanted to say thank you very much for everything they're doing – you have built a great team there! Great Work , [Client] Director of Development, Australia We have been so happy with the performance of the team so far, we are considering getting two more people from you to help with testing. Do you have anyone available right now? If so, would you be able to send through some details about them? Obviously, we would prefer people who had experience testing [a product name] before so they understand how to navigate the application, and people who work well with the team we already have. We have been so happy with the performance of the team so far, we are considering getting two more people from you to help with testing. Do you have anyone available right now? If so, would you be able to send through some details about them? Obviously, we would prefer people who had experience testing [a product name] before so they understand how to navigate the application, and people who work well with the team we already have. Happy with Team Performance , [Client] Director of Development, Australia I just wanted to say a big thank-you for all your hard work in this release! It's been our best release so far; in the last sprint alone we got over 200 points, and your testing was a big part of that. I just wanted to say a big thank-you for all your hard work in this release! It's been our best release so far; in the last sprint alone we got over 200 points, and your testing was a big part of that. Hard Work , [Client] Director of Development, Australia We're all very impressed here with the work Enclave is doing, and I have quite frequently been praising the work of your teams to other managers here. I was speaking to our consulting manager yesterday, and he is thinking about setting up a more cost-effective technical practice to help with [a product name]. I suggested Enclave might be able to help. We're all very impressed here with the work Enclave is doing, and I have quite frequently been praising the work of your teams to other managers here. I was speaking to our consulting manager yesterday, and he is thinking about setting up a more cost-effective technical practice to help with [a product name]. I suggested Enclave might be able to help. Enclave Might Be Able to Help , [Client] Director of Development, Australia #J-18808-Ljbffr
