Senior Data Scientist

About the Role

Key Responsibilities

• 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 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.
• Participate in the full life cycle of model development, from business problem discovery, data discovery to model deployment and monitoring.

Requirements

• 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, and associated Python and Spark packages commonly used by data scientists, including Deep Learning libraries such as PyTorch.
• Proficient in wrangling and analyzing data with complex relationships and time scales.
• 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, libraries 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.

Nice to Have

• Experience in software development, system design and deployment.
• Knowledge of cloud-native technology.
• Experience with computer vision architectures such as CNNs, Vision Transformers, and Image Generation AI.

Qualifications

• Master's or Doctoral degree in a relevant quantitative discipline.
• 4+ years of professional experience as a data scientist.

Benefits & Perks

• Salary range of $200,000 - $240,000 (base pay only, excluding incentives).
• Consideration of location, experience, qualifications, and training in compensation.
• Work environment includes offices in Los Angeles and New York, with many remote options.
• Work-life balance with a culture that values family time.