Senior Data Scientist
| Company | Singularity 6 |
|---|---|
| Location | Los Angeles, CA, USA, Irvine, CA, USA, Remote in USA, Remote in Canada |
| Salary | $167000 – $197000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Expert knowledge of SQL and proficiency in at least one core programming language (e.g., Python, R, Matlab, Julia, etc)
- Firm understanding of general concepts within statistics and probability (e.g. hypothesis testing, sampling, estimation, linear models)
- Ability to build creative analyses and visualizations from scratch using common tools (e.g. Tableau, Looker, etc)
- Experience working with and advising product leaders directly leveraging data to empower and direct decision making
Responsibilities
- You’ll partner with our development team to create insights and frameworks that’ll inform the strategic direction of the game overall
- You’ll design and implement product features that leverage data to personalize player experiences
- You’ll collect, transform, and analyze complex data to more deeply understand our audience and their behaviors
- You’ll share your results with the company in clear, illustrative, and creative presentations and dashboards
- You’ll apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our players interact with our game
- You’ll partner with product, design, and engineering to solve problems, identify trends and opportunities, and help shape the strategic direction of the game overall
- You’ll conduct exploratory analyses, helping to inform our roadmap and keeping us ahead of the curve in best serving our players
- You’ll help to set up and optimize our data infrastructure, including informing database and pipeline requirements and technologies
Preferred Qualifications
- Knowledge of cloud computing and cloud technologies (e.g., AWS, GCP, Azure)
- Experience with data warehouses, lakes, and lakehouses (e.g., BigQuery, Snowflake, Redshift, Delta Lake), and orchestration (e.g., Airflow, Luigi)
- Experience working with common data platforms (e.g., Databricks, AI Platform, SageMaker)
- Interest in machine learning techniques