Data Scientist

Data Science & Analytics

Must live within 6 hours of NYC

Retail background required

LOCATION :   NYC (SoHo)

Must have retail in background preferably Apparel or shoes

TYPE :       Full-Time / Exempt

SALARY :    $160k-$180k+

• Bonus

Note : Relocation and any associated costs are the sole responsibility of the person hired for this position.

OVERVIEW

The Associate Director, Data Science & Analytics will champion the consumer experience across all online channels through data driven strategies. This leadership position requires a deep understanding of the role that Data Science can play in retail and ecommerce, applying advanced analytic data modeling and machine learning to all areas of the digital business to drive KPI optimization. This role will champion and lead extensive analysis of the online business, provide maintenance of brand web analytics tools and will serve as a team expert in digital analytics spanning Web, Mobile, Social, Email and Media to drive acquisition, retention and brand loyalty. In close collaboration with the local and global Digital teams, this role will help deliver a complete picture of performance and assist in the growth of ecommerce.

RESPONSIBILITIES

Interfaces / Relationships

Competencies

Qualifications

o    Bachelor’s Degree

o    Master's Degree in Statistics, Mathematics, Economics, or other quantitative field

o    8–12 years of experience in eCommerce and Digital Marketing Data Science & Analytics, with a proven record of driving measurable business impact.

o    Strong technical foundation in SQL, Python, and / or R (experience with SAS a plus); advanced proficiency in statistical modeling, machine learning, and experimental design.

o    Hands-on expertise with cloud platforms (AWS, GCP, Azure), big data tools (Spark, Databricks, Snowflake), ML frameworks (scikit-learn, TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI, Looker).

o    Skilled in web analytics platforms (Google Analytics, Omniture) and translating digital KPIs into actionable business insights.

o    Familiarity with MLOps, CI / CD pipelines, containerization (Docker, Kubernetes), and version control (Git).

o    Strong analytical and critical-thinking skills with the ability to synthesize complex data into clear, actionable insights.

Excellent communicator — adept at delivering both detailed analytical reports and concise executive summaries.

o    Collaborative and proactive team player who thrives in dynamic, fast-paced environments and adapts effectively to shifting priorities.

o    English

o    Proficiency in German is a desirable, but not required

o    Expertise with Google Analytics, AB Testing platforms, MMM tools (Liftlab a plus), Optimizely, Data Intelligence / Warehouses, CDPs, SFCC and social analytics / reporting

o    General affinity towards web technology and IT process

o    Experience with data warehouses and architecture familiarity

Personal Skills

Working Conditions

This is a remote position.