Data Scientist

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

📋 Description

• Transform intricate business inquiries into concise problem statements, measurable success metrics, and practical quantitative solutions.

• Employ an iterative strategy: begin with swift, decision-oriented analyses, then refine based on feedback and observed outcomes.

• Develop and sustain dependable ML/analytics pipelines, collaborating with engineering as necessary to implement and monitor in production.

• Provide clear and impactful insights to stakeholders.

• Work collaboratively across the Product organization to implement data science solutions that inform strategic decisions and enhance user experience.

• Contribute to the establishment of data science and product analytics best practices through documentation, code reviews, and sharing of knowledge.

⛳️ Requirements

• A minimum of 2 years’ experience in Data Science and ML Engineering.

• MS or PhD in Statistics, Data Science, Computer Science, or a related field; or equivalent hands-on industry experience.

• A robust foundation in Python and SQL, with proficiency in writing production-quality code in a collaborative setting.

• Capability to independently tackle standard business challenges.

• Effective communication with both technical and non-technical stakeholders through clear storytelling and visualizations that convert findings into actionable insights.

• Judiciousness to balance technical precision with practical usability and business acceptance.

• An eagerness to continually learn new tools and techniques.

• Experience with both supervised and unsupervised learning methodologies.

• Comprehensive experience across data exploration, transformation, analysis, and model development, including exposure to productionizing and monitoring processes.

• Strong data fluency: adept at selecting appropriate inputs, engineering relevant business features, and validating the reliability of findings.

• Familiarity with fundamental statistical/ML methods and model validation principles.

• Ability to generate clear technical documentation and presentations for stakeholders.

• Exceptional attention to detail with a strong focus on data accuracy.

🏝️ Benefits

• Medical insurance

• Dental coverage

• Vision insurance

• 401(k) plan

• Life insurance coverage

• Disability benefits

• Tuition assistance program

• Paid Time Off (PTO)