Tags: jd pennyAI DataScientist About the job About Penny
Chris and David started Penny AI in 2018 in Squamish, BC (a bit north of Vancouver) after seeing an opportunity to solve a massive problem for millions of direct sales consultants around the world. We have now grown to a team of 50+ located across Canada and the United States. Penny has tens of thousands of users across four continents who trust Penny to help run their businesses.
Penny is on an upward trajectory with backing from top-tier Venture Capitalists in New York, San Francisco, Toronto and Vancouver. As we grow our team, we don’t expect everyone to know every answer. You may build something that fails spectacularly, and that’s ok. What is important is that you remain humble, you laugh a little, you learn, and together we find a way to succeed.
Diversity, inclusion and belonging is one of our core values and as we expand we are committed to finding talented people from a wide range of backgrounds, experiences and perspectives.
Learn about our hiring process here.
About Penny’s Engineering Team
As a dynamic company, we have all the normal benefits of being able to ship code fast, make changes and iterate quickly, room to grow and explore our wildest ideas… but we also have the processes in place and mindset so everyone is working at a comfortable pace and is supported as the team grows.
We use data, machine learning and automation algorithms to create repeatable and scalable sales processes for direct sales consultants. We are an API first company and process a ton of data. Come work with a multi-disciplinary team of computer scientists, product developers and data scientists building high-level software. Ideal candidates have a passion for data pipelines and shipping code )
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Benefits Start-up culture with an opportunity to make an impact in your role and our team immediately Excellent on-the-job learning opportunities to grow your skills Competitive pay, benefits and a slice of the pie (aka - stock options) 4 weeks vacation plus statutory holidays Support from a diverse and highly talented team to help you reach your goals Flexibility to work from home and the office Join a friendly, progressive team who like to organize fun activities and celebrate all-round awesomeness!