\nJob Description\n\n\n\nYou will be joining a highly talented team of engineers working on a custom hiring and talent mapping application. We are helping a large company leverage their data to find the perfect candidates. This ranges from predictive models to answering other very open-ended questions. We have a range of projects from \n\nThis is a remote position that can be done from anywhere. \n\nResponsibilities:\n\n\n* Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, identify opportunities, discover solutions, and deliver actionable business insights.\n\n* Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.\n\n* Handle both parts of the Research & Development process, including clean, rigorous implementations of devised models inside our Analytics system.\n\n* Communicate data-driven insights and recommendations to key stakeholders.\n\n* Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.\n\n\n\n\nRequirements:\n\n\n* A strong background in advanced mathematics, in particular in probability theory and statistics, data mining, and machine learning.\n\n* Comfortable working with messy structured data sets and turning them into machine learning products\n\n* Experience in Natural Language Processing (keyword extraction and sentiment analysis)\n\n* You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights.\n\n* 4+ years of professional experience in data science, doing exploratory data analysis, testing hypothesis, and building predictive models.\n\n* Ability to quickly and accurately understand complex new concepts.\n\n* Proficiency in Python and previous experience efficiently conducting research and creating ad hoc reports.\n\n* Familiarity with Scala/Spark a plus\n\n* Be excited about collaborating daily with your team and other groups while working via a distributed model.\n\n* Be eager to help your teammates, share your knowledge with them, and learn from them.\n\n\n