Data Scientist
Stockholm, Sweden
Applications have closed
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 Description
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 Stockholm, Sweden office.
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
Qualifications
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
- Strong software development skills, with demonstrated ability to implement inferential and predictive models in a production scale environment
- Experience with AWS (i.e., EC2, S3, RDS, Redshift, EMR) or similar cloud computing services
- 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
Additional Information
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.
What this means: You care about success and moving your team forward.
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.
What this means: You care about your teammates and clients.
Executing for Results
The 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/Collaboration
The 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 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.
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)!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Chemistry Computer Science EC2 Econometrics Julia Machine Learning Mathematics ML models Model training Pandas Physics Python PyTorch R Redshift Scikit-learn SparkML SQL Statistics TensorFlow Testing
Perks/benefits: Career development Flex hours
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