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Title: Senior Data Scientist

Location: Remote – U.S.

Job Description:

WHO WE ARE:

We are a producers playground, delivering music creators the tools they need to bring their ideas to life. With a massive, industry-leading catalog of licensed samples, paired with powerful AI, and access to affordable plugins and DAWS, Splice kicks sound discovery, inspiration, and creative output into overdrive.

HOW WE WORK:

At Splice, DISCO is a rallying cry for collaboration, accountability and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric and Optimistic. Our shared success depends on our ability to support one another, work well together and communicate directly. By embracing flexibility and a unified approach, we can navigate anything thats thrown at us.

Splice embraces a culture of remote work. Youll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental All Hands and get-togethers.

When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Senior Data Scientist

LOCATION:REMOTE

THE ROLE:

We are looking for a driven and creative Sr. Data Scientist to work in an analytics-focused role supporting product development for our Creator Tools. In this role, you will define metrics that track engagement and user-centric outcomes within our suite of innovative creative tools for music-makers. You will sit squarely between the realms of deep creativity and analytical rigor, drawing connections between the creative workflows of musicians and the metrics necessary rigorously and accurately measure their success. Working in close partnership with Product, Design, and User Research, you will use analytics to discover new patterns of user behavior and leverage these discoveries to build more relevant and impactful experiences for our users.

All of this means balancing ad hoc data exploration and longer-running analytical projects; designing and conducting experiments; bridging the gap between Product Managers and Data Engineers to assure that the necessary data is accessible and easy to use; aiding in the design of Product roadmaps and experimentation plans to support our products; and developing algorithms that drive in-product experiencese.g., personalization.

WHAT YOULL DO:

Data manipulation

We expect our Data Scientists to have expert analytical SQL skills. This means fluidity constructing statements that rely on a combination of joins, aggregate functions, subqueries, and window functions. This role will work with large-scale data, so this person must have experience writing efficient, performance-optimized queries.

Analysis

Nearly every problem starts with models that can be interpreted to drive action. Were seeking an inidual who enjoys experimentation and statistical analysissomeone who can translate what they see in the data into useful suggestions. A thorough understanding of statistical inference is required.

Modeling

You should have hands-on experience building machine learning models (supervised and unsupervised) and know how to incorporate your models into production workflows and product experiences.

JOB REQUIREMENTS:

• Regular usage of a programming language typically used for statistical analysis and machine learning (ideally Python).
• Strong experience with analytical SQL (ideally BigQuery, Snowflake, AWS Athena, or similar).
• Hands-on experience with self-service product-analytics tools (e.g., Looker, Mixpanel, Amplitude, Heap).
• Training in statistics, econometrics, or machine learning, with plenty of real-world experience applying these methodologies.
• Exposure to a variety of data sets used by Product teams. Chiefly, large-scale event data (e.g., Mixpanel, Segment, Snowplow, server logs) and normalized transactional databases (e.g., e-commerce and subscription datasets).
• Exposure to large-scale model training in a platform like Spark is helpful but not required.

NICE TO HAVES:

There are no specific degree requirements for this role: we appreciate and seek out erse backgrounds. Instead of any particular formal education requirement, well flesh out what youve built, what you know, and how you approach problem solving.

As a company that serves musicians and producers, some knowledge of the music-production process is an asset. If this topic is new to you, thats okayyou should be open to learning about it.

The national pay range for this role is $150,000 – $175,000. Inidual compensation will be commensurate with the candidate’s experience.

Splice is an Equal Opportunity Employer

Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.