Summary & Duties As a Data Scientist in our CTV-Sync technology team, you will play a key role in developing our platform, responding to client inquiries related to the day to day performance of our campaigns, as well as collaborating with our CTV and backend teams in building a top product. Your responsibilities will span the entire product lifecycle, and will involve not only data science but machine learning and feature engineering, contributing to a top of the market algorithm and DS innovation platform
Research and development of DS initiatives to our cross device performance engine Perform scientific exploration and analysis of algorithm improvements
Your work will be used in production to serve millions of requests per second, with response time measured in milliseconds. Your team works with best of the grade code standards and review practices. Your code and ideas will be responsible for millions of real time bidding auctions generating millions of dollars on revenue distributed cloud regions over the globe.
Participate in resolution of client tickets such as but not limited to investigations for performance problems, coordination of tests and new features, or providing coaching and support for non DS knowledgeable engineering staff.
Requirements +4 years of experience as a Data Scientist. Relevant experience in Applied Mathematics, Statistics, Computer Science, Econometrics, Physics, or other quantitative fields. Demonstrate proficiency with our current Data Science Stack: Python (3.9+) and Scientific/ML Python stack (NumPy, SciPy, Pandas, Scikit learn) Experience working with ML technologies and building model training pipelines end-to-end. Experience working with relational databases. Fluent in English, both oral and written, as this is the language used for interaction with most of the stakeholders and the business language for all our tools and documentation. Optional requirements Hands-on experience with ML frameworks or model deployment tools like ONNX, TensorFlow, Docker or MLflow.Knowledge of big data environments, in particular using Google BigQuery Searched for skills We value thirst for knowledge and self-improvement. In fact, if you are the kind of person who likes to learn new technology and languages please let us know. Clear communication and facility to express complex ideas in englishExposure to industry standards in DS best practices including not limited to: comprehensive ML pipelines incorporating feature selection, model construction, retraining routines, and ongoing performance tracking guided by best-practice design principles and performance dashboardsExposure to industry standards in coding best practices including not limited to: style guides, programming best practices, testing and integration, AB tests, and software design.Good writing skills, able to write down his/her ideas in english. Experience with knowledge management tools and with project management concepts such as roadmap, deliveries, project plan, task breakdown structure, and agile Other perks of the job Remote work Flexible working hours To be part of a small team with direct impact in the final product Using state of the art technologies Educational resources Creative Fridays: one day every two weeks to work on your own ideas About mediasmart Mediasmart is part of the Affle group - a global adtech company that completed its successful IPO in India in 2019 and has been growing profitably since. Affle group has been in the adtech/martech business for over 15 years and runs multiple ad platform businesses including Appnext, MAAS, mDMP, Jampp, RevX, Vizury, Youappi in addition to mediasmart. Some of the key investors in Affle Holdings include Microsoft and D2C (JV between NTT DoCoMo & Dentsu).
We work hard and never forget to have fun in the process. Absolutely devoted to our customers and to building the best mobile advertising company out there, our passion shines through everything we do.
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