Associate Data Scientist

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

📋 Description

• Execute designated data science projects within the established scope, ensuring precise and timely outcomes.

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

• Utilize analytical techniques to address specified problems, datasets, and evaluation criteria.

• Employ notebooks and interactive development environments to analyze data, prototype models, and validate methodologies.

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

• Leverage AI tools and large language models for analysis, code generation, and research purposes.

• Apply prompt engineering strategies and assist in the creation of AI-enabled workflows.

• Contribute to the development of data science products, models, pipelines, and reporting systems.

• Support workflows related to model training, evaluation, and output generation.

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

• Generate regular reports and analyses for monitoring product performance.

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

• Write SQL and Python transformations, employing Snowflake and dbt workflows.

• Assist in the development and maintenance of data pipelines.

• Conduct exploratory data analysis.

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

• Write maintainable and testable code and engage in code review processes.

• Develop expertise in Python and utilize R when necessary.

• Utilize data science libraries and frameworks such as scikit-learn, pandas, and numpy.

• Acquire familiarity with Docker and related deployment concepts.

• Communicate progress and findings to team members and stakeholders effectively.

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

• Cultivate business acumen to support data-driven decision-making.

• Perform additional duties as assigned.

⛳️ Requirements

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

• 0–2 years of experience in data science, analytics, or similar roles, 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 concepts of prompt engineering is a plus.

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

• Demonstrated intellectual curiosity and eagerness to learn.

• Must successfully pass a pre-employment drug screening.

• Willingness to travel as necessary, less than 10% of the time.

🏝️ Benefits

• Paid time off.

• Medical insurance.

• Dental insurance.

• Vision insurance.

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

• Total compensation package may include commission, bonus, or profit sharing.

• Equal Employment Opportunity employer.

• Disability accommodation support.