Senior Data Scientist
- Los Angeles, CA
- Permanent
- Full-time
- Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects.
- Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis.
- Help build data-informed business strategy and roadmaps.
- Translate business needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities.
- Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives.
- Work closely with data engineers to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness.
- Lead the development of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience.
- Establish playbooks to drive process and consistent outcomes.
- Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.
- Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Physics, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
- 4+ years of professional experience as a data scientist.
- Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as PyTorch.
- Proficient in wrangle and analyze data with complex relationships and time scale.
- Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical modeling.
- Experience in using data visualization and dashboard tools.
- Experience and knowledge with computer vision domain, library such as OpenCV, PIL, and modern CV architectures (CNNs, Vision Transformers, Image Gen AI etc.)
- Experience in software development, system design and deployment is preferred.
- Working experience in cloud-native technology.
- Experience working with large structured and unstructured datasets stored in relational and NOSQL databases.
- Out-of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-driven solutions that deliver meaningful business impacts.
- Excellent organizational skills, verbal and written communication skills, and presentation skills.
- We're a small team (growing fast!) and everyone wears lots of hats.
- We're have offices in Los Angeles and New York, and many of us are remote.
- We work hard, but not all the time. We have families that we like to spend time with.