Data Science Manager

High Trail; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

High Trail in New York City is seeking a data scientist to join a growing analytics team supporting decisions across merchandising, planning, media, and consumer insights in a fast-paced fashion environment.

You will develop models, analyze large datasets, build automated reporting, and partner with stakeholders while coordinating with offshore resources. 2–3 years experience, Python/SQL, and the ability to translate findings into business actions are required; onsite three days a week in NYC.

Qualifications

• 2-3 years of experience in Data Science, Analytics, Statistics, or a related field.
• Strong Python and SQL skills.
• Experience building predictive models, conducting statistical analysis, and translating findings into business recommendations.
• Strong communication and stakeholder management skills.
• Ability to work across multiple business domains and adapt to changing priorities.
• Experience in retail, apparel, fashion, consumer products, or CPG environments is highly preferred.

Responsibilities

• Develop models, analyses, and insights that support business decision-making
• Partner with stakeholders across planning, media, merchandising, and related functions
• Analyze large, complex datasets to identify trends and opportunities
• Build and automate reporting, forecasting, and measurement solutions
• Collaborate with technical and non-technical teams to deliver actionable recommendations
• Work closely with offshore data science resources on project execution

Skills

Python

SQL

Statistical analysis

Stakeholder management

Job description

Join a growing data science team supporting analytics initiatives across a leading global fashion and lifestyle organization. This role offers the opportunity to work at the intersection of data, merchandising, planning, media, and consumer insights, helping drive business decisions in a fast-paced retail and fashion environment.

Please note: This is an individual contributor role with no direct reports despite the Manager title.

What You'll Do

• Develop models, analyses, and insights that support business decision-making
• Partner with stakeholders across planning, media, merchandising, and related functions
• Analyze large, complex datasets to identify trends and opportunities
• Build and automate reporting, forecasting, and measurement solutions
• Collaborate with technical and non-technical teams to deliver actionable recommendations
• Work closely with offshore data science resources on project execution

What We're Looking For

• 2-3 years of experience in Data Science, Analytics, Statistics, or a related field
• Strong Python and SQL skills
• Experience building predictive models, conducting statistical analysis, and translating findings into business recommendations
• Strong communication and stakeholder management skills
• Ability to work across multiple business domains and adapt to changing priorities
• Experience in retail, apparel, fashion, consumer products, or CPG environments is highly preferred
• Authorized to work in the U.S. without current or future sponsorship

Why This Role?

• Broad exposure across multiple business functions rather than a narrow specialty area
• Opportunity to work on high-visibility initiatives that directly influence business decisions
• Lean team environment with strong mentorship and career growth potential
• Ideal for an ambitious Data Scientist looking to take the next step in their career without moving into people management

Interested candidates should be comfortable working onsite in New York City three days per week.