Data Science & Analytics Consultant

Data Science & Analytics

Retail background required

Must have retail in background preferably Apparel or shoes

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

Lead the creation and implementation of best practices for statistical modeling, machine learning, and advanced analytics to support the Digital Americas business.

Oversee the design, development, and deployment of predictive and AI / ML models (e.g., churn prediction, price elasticity, LTV forecasting) that drive measurable business impact.

Provide hands-on technical leadership in data science, machine learning, and data engineering; contribute to model design, algorithm development, and scalable MLOps practices.

Collaborate with Global teams to assess and enhance overall data architecture, ensuring alignment with strategic goals.

Champion the prioritization of Americas requests in Globally owned systems, from ticket / request development through proper implementation, QA and rollout

Lead the integration of Americas third party tools with DWH, Liftlab and any other Analytics team-led systems.

Partner with Digital Americas stakeholders to optimize data collection, define actionable insights, and guide data-driven decision-making.

Champion web and digital analytics, including A / B and multivariate testing, KPI development, and performance measurement across digital platforms.

Manage web analytics (e.g., Google Analytics) audits and measurement frameworks; ensure accurate tagging, tracking, and reporting for all key metrics.

Oversee third-party relationship with data / analytics-related vendors from implementation to program management and optimization

Develop and maintain dashboards, forecasting models, and analytical reports to support revenue growth, visibility, and accountability.

Analyze and communicate website and business performance metrics, delivering actionable insights to optimize marketing, product, and digital experience.

Stay current with emerging trends, tools, and methodologies in analytics, AI, and predictive modeling to continually elevate team capabilities.

Manage and mentor the Business Analyst, fostering growth, collaboration, and analytical excellence.

Support ad hoc analytical requests and cross-functional reporting needs as required.

Interfaces / Relationships

Close alignment with the Americas business stakeholders including Marketing, Product Planning, IT and Operations.

Collaboration BSD HQ CRM & Analytic teams from a support perspective.

Internal interface to business stakeholders (Marketing, Operations, Content, Category Management).

Competencies

High degree of customer focus.

High online affinity, understanding of digital environment and analytic tools.

Comfortable in and adaptable to rapidly changing conditions.

Strong analytical and problem-solving skills.

Strong communication and interpersonal skills.

Ability to manage and prioritize multiple tasks simultaneously.

Highly organized, detail oriented and accurate.

Qualifications

Education

o Bachelor's Degree

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

Work experience

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.

Language Skills

o English

o Proficiency in German is a desirable, but not required

IT / System Expertise

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

Analytical, structured and conceptual approach

High degree of responsibility

Resilient, flexible, decisive

Exceptional communication and presentation skills with the ability to persuade an audience

Comfortable and adaptable to rapidly changing situations

Strong understanding of customer needs

Working Conditions

Involvement with local and global teams with diverse cultures

Ability to travel as needed