Associate Data Scientist

Jobtailor; California (MO); On-site; USD 70,000 - 100,000; Full time

Job summary

Jobtailor is seeking a data science/ML professional to translate business questions into measurable analyses and actionable insights. You will build and refine ML pipelines, collaborate with engineering to productionize models, and deliver clear findings to stakeholders across product teams.

The role emphasizes data-driven decision making, rigorous validation, thorough documentation, and close collaboration to optimize user experiences.

Qualifications

• 0-2 years of experience in Data Science and ML Engineering.
• MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience.
• Experience with supervised and unsupervised learning methodologies.
• Experience with data exploration, transformation, and model development, with exposure to productionizing and monitoring.
• Strong data fluency: selecting inputs, engineering features, and validating findings.
• Familiarity with core statistical/ML methods and model validation.
• Concise and influential communication for stakeholders.
• Ability to produce clear technical documentation and presentations.
• Strong attention to detail with data accuracy.
• Must pass a background check.

Responsibilities

• Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions.
• Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and impact.
• Implement and maintain reliable ML/analytics pipelines, partnering with engineering to productionize and monitor.
• Contribute to delivering clear, impactful insights to stakeholders.
• Collaborate across the Product organization to operationalize data science solutions informing strategy and UX.
• Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing.

Skills

Data exploration

Feature engineering

Model development

Communication skills

Documentation

Attention to detail

Background check

Education

MS in Statistics or related field

Job description

Responsibilities

• Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions.
• Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact.
• Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor.
• Contribute to delivering clear, impactful insights to stakeholders.
• Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience.
• Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing.

Requirements

• 0-2 years of experience in Data Science and ML Engineering
• MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience
• Experience with supervised and unsupervised learning methodologies
• Experience with data exploration, transformation, and model development, with exposure to productionizing and monitoring
• Strong data fluency: selecting the right inputs, engineering business-relevant features, and validating that findings are reliable
• Familiarity with core statistical/ML methods and model validation fundamentals
• Concise and influential communication skills for a wide variety of stakeholders
• Ability to produce clear technical documentation and stakeholder presentations
• Strong attention to detail with a penchant for data accuracy
• Must successfully pass a background check