Company Description Ingrooves is a leading global music marketing and distribution company. We provide labels and artists with a global team of experts and a powerful technology framework, giving them transparent distribution tools and marketing solutions to maximize revenue in today's dynamic music marketplace. By embracing data science and continually updating its offerings, Ingrooves is redefining the modern music company.Job DescriptionThis is an execution and delivery-oriented, highly visible role in the Insights & Analytics team with primary responsibility for building, testing, and validating scalable machine learning models that drive business-relevant insight generation. This includes the development of project plans, handling of potential issues and risks, collaborating constructively with project team members, providing effective cross-functional communication, and advancing multiple projects at once.The successful candidate will report directly to the Chief Analytics Officer and will be based in Victoria, BC.Key Responsibilities:Design, build, and deploy machine learning models at scaleCollaborate closely with product teams to provide high-level AI-driven services for music content ownersIntegrate with external and internal APIs and data sources to augment music consumption data to uncover shifting market trends, new opportunities, operational efficiencies and revenue streamsCreate data-rich informative visuals and documents to articulate and convey complex concepts to the executive leadership team and label partnersContribute to and enable a positive work environment which highly encourages creative input and constructive criticism from all team membersOther duties as determined by the Chief Analytics OfficerQualificationsMinimum Requirements:Earned degree (M.Sc. or B.Sc. + 2 years industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics)Demonstrated experience developing or applying machine learning algorithms to deliver robust predictions and inferencesKey Qualifications & Experience:Strong software development skills, with demonstrated ability to implement inferential and predictive modelsKnowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.)Knowledge and experience of writing and tuning SQLExcellent communication and exposition skills with the ability to explain and present complex analyses and machine learning concepts to a broad audience, both technical and non-technical, in EnglishDemonstrated ability to work creatively and deliver within highly collaborative work environments while remaining product-focusedExperience with AWS (i.e., EC2, S3, RDS, Redshift, EMR) or similar cloud computing services is a plusAdditional InformationSuccess at IngroovesBusiness AcumenThe successful candidate aligns with the Ingrooves culture by being solution-oriented, collaborative, leveraging best practices, and possessing a passion for both technology and music.What this means: You care about success and moving your team forward.Interpersonal/Communication SkillsThe successful candidate will be open minded with a natural curiosity of the internal and external customer, will be delivery oriented with an understanding of the product development process and will build and foster strong relationships and effective partnerships with cross-functional teams.What this means: You care about your teammates and clients.Executing for ResultsThe successful candidate will demonstrate the ability to generate and translate strategic plans into actions with timely execution and accountability.What this means: You have a strong work ethic.Leadership/CollaborationThe successful candidate establishes and maintains positive working relationships, operates with integrity, influences and supports others, and remains open to ideas.What this means: Your teammates care about you.Problem SolvingThe successful candidate will be tenacious and self-motivated and have a demonstrable record of resolving issues and providing effective solutions. They demonstrate eagerness and an ability to learn quickly and leverage a flexible mindset in response to shifting dynamics, adversity and/or change.What this means: You're efficient and intelligent.Why work with us?We are passionate about developing dynamic solutions in a relaxed and engaged environment. Our people matter! And we have a fun, relaxed working environment (with great views, among other perks)!
