Junior Machine Learning Engineer
Your role As a Junior Machine Learning Engineer, you focus on incorporating ‘intelligence’ into our proprietary technology. One of your main projects is the development of a first algorithm to improve our research, by suggesting questions researchers can ask. In addition, we are looking to develop a second algorithm, aimed at distilling insights from large amounts of research data. Through our proprietary Square software, we host insight communities that connect us with your everyday consumer, aka roughly 90% of the population. These are experts by experience and therefore excel at evaluating, telling us what happens in their daily lives, and providing recommendations on how to further improve products, communications, and customer experiences. These insight communities are managed by a Community Moderator, that is part of a centralized internal service center allowing InSites to conduct client projects globally with high quality and in a cost-efficient way. Together with their team, they provide high-quality internal moderation and analysis services. Therefore they collaborate with different growth units, working for a large variety of brands and sectors worldwide, bringing the voice of customers into the heart of our clients’ businesses. In your role, you will assist our Community Moderators by: Designing and implementing a deep-learning and NLP (Natural Language Processing) pipeline capable of carrying out conversational interactions with participants, by asking the relevant questions as learned from previous interactions of participants with human expert moderators.The analysis of all participant input for the purpose of analyzing the quality and usefulness of the ideas therein. Here, the emphasis lies on gaining insights from the input pertaining to innovative, surprising, or insightful ideas that can help understand the activity itself or the researched product. Your responsibilities What you'll do Work efficiently with large databases Develop customized data models and algorithms to apply to data sets Communicate clearly and coherently (orally and in writing) with colleagues about data needs, and report results Use NLP techniques to optimize the analysis of large textual databases Utilize deep-learning techniques such as ANN and RNN to create predictive text solutions Develop company A/B testing framework and test model quality Coordinate model implementation with different functional teams, and monitor the outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Ensure all solutions are focused on automation and scalability rather than one-off cases Your profile What you'll bring Ideally, we are looking for someone with some experience in manipulating data sets and building statistical models, but we are open to motivated individuals that have written their thesis or did an internship in this domain and ideally has a degree in Statistics, Mathematics, Computer Science, or another quantitative field, and is familiar with the following software/ tools: Knowledge of statistical and data-mining techniques: GLM/ Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Understanding of advanced machine-learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience with visualizing/ presenting data to stakeholders Why this is(n't) for you You have strong problem-solving skills with an emphasis on product development. You know how to use statistical computer languages (R, Python, SQL) to manipulate data and draw insights from large data sets You have worked with and have created data architectures You know advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.), and have experience with applications You are eager to learn and master new technologies and techniques You’re not interested in new technologies or the latest IT trends You’re not the best communicator You’re not proficient in English Our offer We believe the best work comes from happy people.Here are just a few of the professional and personal benefits you’ll experience at InSites Consulting. Pay & benefits Competitive salaryElectronic meal vouchersMobile phone subscriptionInternet allowanceNet expense allowanceHealth insurancePension planTravel reimbursement or mobility budgetBonus plan based on company and team performance28 days holiday (including company closing between Christmas and New Year)Happy moments celebrated A great place to work Hear from the team “I’m co-leading our Media & Entertainment research team and as every team within the business, we are a company in the company. We have the liberty to decide which clients we work for, which subsectors we go after, decide on the strategy, how we meet our objectives and also how we design and deliver projects.” Vincent Konings, Research Team Director “Each team at InSites Consulting feels like a little family, full of members you can trust and build upon every single step of the way. And it’s not all work and no play, we make plenty of time for fun as well. Think team buildings, company events… both on- and offline, and on a global scale as well.“ Thomas Cnudde, Junior Research Consultant “The biggest thing that I truly love about InSites Consulting is how inclusive the company is; they are very people-cultured so you’re coming into a family of people that truly just care about each other.” Puleng Thutlwa, Junior Research Consultant “One of the things that’s always been really great at InSites Consulting is the career path. I started as a Junior Researcher, and I worked my way up through the ranks, and this has given me the opportunity to coach people, lead accounts, be a team lead, input into company strategy.” Kev Lacey, Research Development Director “InSites Consulting provides great opportunities for growth, based on your desired career path and your skills. We are a group of friendly and fun people to work with, and we help each other out to achieve our goals.“ Iuliana Rus, Project Manager Our location
Verder naar solliciteren...
Verder naar solliciteren...