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Form of workIngrooves 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.
This 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 at our Los Angeles office.
Salary Range:
$200,000 - $300,000 a year
Key Responsibilities:
- Design, build, and deploy machine learning models at scale
- Collaborate closely with product teams to provide high-level AI-driven services for music content owners
- Integrate with external and internal APIs and data sources to augment music consumption data to uncover shifting market trends, new opportunities, operational efficiencies and revenue streams
- Create data-rich informative visuals and documents to articulate and convey complex concepts to executive leadership team and label partners
- Contribute to and enable a positive work environment which highly encourages creative input and constructive criticism from all team members
- Other duties as determined by the Chief Analytics Officer
Minimum Requirements:
- Earned graduate degree (Ph.D. or M.Sc. + 2 years relevant 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 machine learning models to deliver robust predictions and inferences
Key Qualifications & Experience:
Expert knowledge 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.). Experience with distributed model training with, e.g., SparkML, PyTorch, Tensorflow, a plus
Experience with AWS (i.e., EC2, S3, RDS, Redshift, EMR) or similar cloud computing services
Strong software development skills, with demonstrated ability to implement inferential and predictive models in a production scale environment
Knowledge and experience of writing and tuning SQL
Excellent 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 English
Demonstrated ability to work creatively and deliver within highly collaborative work environments while remaining product-focused
Success at Ingrooves
Business Acumen
The successful candidate aligns with the Ingrooves culture by being solution-oriented, collaborative, leveraging best practices, and possessing a passion for both technology and music.
Interpersonal/Communication Skills
The 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.
Executing for Results
The successful candidate will demonstrate the ability to generate and translate strategic plans into actions with timely execution and accountability.
Leadership/Collaboration
The successful candidate establishes and maintains positive working relationships, operates with integrity, influences and supports others, and remains open to ideas.
Problem Solving
The 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.
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)!
