bolthires careers remote

Ready to take the next step in your career? Join us as a bolthiresCareers Remote! We have an opening at our office in Remote. This position requires a strong and diverse skillset in relevant areas to drive success. We are prepared to offer a competitive salary to attract a top-tier candidate for this role.Data Scientists on the bolthires Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for bolthires Streaming’s suite of streaming video apps, notably bolthires+.They specialize in applying machine learning methods to meet strategic product personalization goals, explore innovative techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. As a member of this team you will collaborate across Engineering, Product, and Data teams to better understand challenges and develop automated solutions to be built into our products. Responsibilities:Algorithm development and maintenance:?Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Analysis and Algorithm Optimization:?Perform deep dive analysis on app interactions and user profiles as they relate to algorithm output in order to drive improvements in key personalization metrics Data Preparation:?Process, cleanse, and verify the integrity of data used for model building, experimentation evaluation, and algorithm performance MVP development: Develop innovative data science products to be used for new production features or downstream by production algorithms Development Best Practices:?Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders:?Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysisBasicQualifications:4+ years of experience developing machine learning models and performing data analysis with Python or R 3+ years writing production-level, scalable code (e.g.Python, Scala) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings In-depth understanding of the latest in natural language processing techniques and contextualized word embedding modelsExperiencewith cloud services in a production environment (particularly AWS) Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.Understanding of statistical concepts (e.g., hypothesis testing, regression analysis) Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Ability to explain how models are used and algorithms behave to both technical and non-technical audiences !This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please today. Apply tot his job