Job Description

As a Data Scientist II, you will collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.

Your expertise:

• Synthesize complex statistical findings into clear, actionable insights for both technical stakeholders and executive leadership

• Perform hypothesis testing and A/B testing to validate assumptions and measure the impact of data-driven decisions

• Architect and refine high-signal features from raw data

• Leverage large language models (LLMs) to generate novel features and augment existing datasets

• Design, develop, and deploy advanced machine learning models (e.g., regression, classification, clustering) to address complex business problems

• Develop and maintain efficient data pipelines to extract, transform, and load (ETL) data from various sources

• Collaborate with software teams to ensure seamless integration of data science solutions into the broader technology stack

Requirements and Qualifications:

• BS/MS in Science (Statistics, Computer Science, Econometrics, Data Science, Artificial Intelligence )

• 1-5 years of experience with data science or computer science fields

• Experience with common data science toolkits, programming languages, visualization tools and SQL/NoSQL databases

• Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc

• Good foundation of computer science knowledge such as data structure, operating system

• Familiar or prone to adopt design thinking methods

• Able to work under pressure and change, and balance among speed, reliability, interpretability

• Experience with code versioning, code review and documentation

• Effective communication skills

Bonus Points for...

• Experience with Optimization Tools like Gurobi, CPLEX, or Google OR-Tools.

• A portfolio of side projects involving Chatbots, Semantic Search, or Target Labeling

• A passion for documentation and code versioning (we love a clean Git history).

Notes: We value "scrappiness" and the ability to pivot. If you’re someone who obsesses over the user experience as much as the loss function, you’ll fit right in.