Associate Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Execute designated data science projects within a defined scope, ensuring the delivery of precise and timely results.

• Develop and implement statistical and machine learning models, encompassing regression, classification, clustering, and forecasting.

• Apply analytical techniques to specified problems, datasets, and evaluation metrics.

• Utilize interactive development environments for data exploration, model prototyping, and validation of methodologies.

• Interpret model outputs and convert findings into actionable insights for stakeholders.

• Leverage AI tools and large language models to facilitate analysis, code generation, and research efforts.

• Employ prompt engineering techniques and assist in constructing straightforward AI-enabled workflows.

• Contribute to data science products, including models, pipelines, and reporting tools.

• Support workflows for model training, evaluation, and output generation.

• Document data science methodologies, model assumptions, and system behaviors.

• Produce regular reports and analyses for performance tracking.

• Clean, transform, and prepare extensive structured and unstructured datasets.

• Execute SQL and Python-based transformations from raw data sources.

• Collaborate with Snowflake and dbt workflows to develop analytics-ready datasets.

• Aid in the development and maintenance of data pipelines.

• Conduct exploratory data analysis.

• Adhere to software development best practices, including version control, documentation, and testing protocols.

• Write clear, maintainable, and testable code.

• Validate datasets, model outputs, and reporting findings.

• Engage in code reviews.

• Ensure reproducibility through thorough documentation and organized work.

• Communicate progress and results effectively with team members and stakeholders.

• Collaborate with Data Scientists, Analytics Engineers, and business partners.

• Develop business acumen and expertise in assigned datasets, tools, and processes.

• Perform additional duties as required.

⛳️ Requirements

• Bachelor’s degree in Business, Mathematics, Computer Science, Engineering, or a related field.

• 0–2 years of experience in data science, analytics, or related positions, or an advanced degree.

• Strong foundational programming skills in Python; familiarity with R is advantageous.

• Basic understanding of statistical modeling and machine learning principles.

• Proficiency in SQL and experience with relational data systems.

• Familiarity with Snowflake, dbt, or contemporary data platforms is a plus.

• Exposure to version control practices (Git) and development workflows.

• Familiarity with data science libraries such as scikit-learn and pandas is beneficial.

• Exposure to AI tools and prompt engineering concepts is a plus.

• Ability to thrive in a fast-paced environment with a strong sense of urgency.

• Strong intellectual curiosity and a desire to learn.

• Must pass a pre-employment drug screening prior to starting work.

• Continuous viewing from and inputting to a computer screen.

• Ability to sit for extended periods.

• Travel as necessary, less than 10%.

🏝️ Benefits

• Paid time off.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401k match (50% on the dollar up to 7% of employee contribution).

• Potential for commission, bonuses, or profit sharing.

• Potential sign-on bonus, subject to state and local laws, terms, and conditions.

• Equal Employment Opportunity employer.

• Disability accommodations available during the application process.