Associate Director of Data Science and Analytic

Tech-Nique Partners NY LLC

Floral Park, NY 11001, USA

Published: 6/14/2022

Technology

Full Time

Job Description

Job DescriptionAssociate Director – Data Science & Analytics – Digital Americas

RESPONSIBILITIES• Lead the creation and implementation of best practices for statistical modeling, machine learning, andadvanced 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 tomodel design, algorithm development, and scalable MLOps practices.• Collaborate with Global teams to assess and enhance overall data architecture, ensuring alignment withstrategic goals.• Champion the prioritization of Americas requests in Globally owned systems, from ticket/request developmentthrough 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 guidedata-driven decision-making.
• Champion web and digital analytics, including A/B and multivariate testing, KPI development, andperformance measurement across digital platforms.• Manage web analytics (e.g., Google Analytics) audits and measurement frameworks; ensure accuratetagging, tracking, and reporting for all key metrics.

Work experience:o 8–12 years of experience in eCommerce and Digital Marketing Data Science & Analytics, with aproven record of driving measurable business impact.o Strong technical foundation in SQL, Python, and/or R (experience with SAS a plus); advancedproficiency 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 intoactionable business insights.o Familiarity with MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and version control(Git).