Job
Description
Data Scientist - Retail & E-commerce Analytics with Personalization, Campaigns & GCP/BigQuery Expertise We are looking for a skilled Data Scientist with strong expertise in Retail & E-commerce Analytics , particularly in personalization , campaign optimization , and Generative AI (GenAI) , along with hands-on experience working with Google Cloud Platform (GCP) and BigQuery . The ideal candidate will use data science methodologies and advanced machine learning techniques to drive personalized customer experiences, optimize marketing campaigns, and create innovative solutions for the retail and e-commerce business. This role will also involve working with large-scale datasets on GCP and performing high-performance analytics using BigQuery . Responsibilities E-commerce Analytics & Personalization : Develop and implement machine learning models for personalized recommendations , product search optimization , and customer segmentation to improve the online shopping experience. Analyze customer behavior data to create tailored experiences that drive engagement, conversions, and customer lifetime value. Build recommendation systems using collaborative filtering , content-based filtering , and hybrid approaches. Use predictive modeling techniques to forecast customer behavior, sales trends, and optimize inventory management. Campaign Optimization Analyze and optimize digital marketing campaigns across various channels (email, social media, display ads, etc.) using statistical analysis and A/B testing methodologies. Build predictive models to measure campaign performance, improving targeting, content, and budget allocation. Utilize customer data to create hyper-targeted campaigns that increase customer acquisition, retention, and conversion rates. Evaluate customer interactions and campaign performance to provide insights and strategies for future optimization. Generative AI (GenAI) & Innovation Use Generative AI (GenAI) techniques to dynamically generate personalized content for marketing, such as product descriptions, email content, and banner designs. Leverage Generative AI to synthesize synthetic data, enhance existing datasets, and improve model performance. Work with teams to incorporate GenAI solutions into automated customer service chatbots, personalized product recommendations, and digital content creation. Big Data Analytics With GCP & BigQuery Leverage Google Cloud Platform (GCP) for scalable data processing, machine learning, and advanced analytics. Utilize BigQuery for large-scale data querying, processing, and building data pipelines, allowing efficient data handling and analytics at scale. Optimize data workflows on GCP using tools like Cloud Storage , Cloud Functions , Cloud Dataproc , and Dataflow to ensure data is clean, reliable, and accessible for analysis. Collaborate with engineering teams to maintain and optimize data infrastructure for real-time and batch data processing in GCP. Data Analysis & Insights Perform data analysis across customer behavior, sales, and marketing datasets to uncover insights that drive business decisions. Develop interactive reports and dashboards using Google Data Studio to visualize key performance metrics and findings. Provide actionable insights on key e-commerce KPIs such as conversion rate , average order value (AOV) , customer lifetime value (CLV) , and cart abandonment rate . Collaboration & Cross-Functional Engagement Work closely with marketing, product, and technical teams to ensure that data-driven insights are used to inform business strategies and optimize retail e-commerce operations. Communicate findings and technical concepts effectively to stakeholders, ensuring they are actionable and aligned with business goals. Key Technical Skills Machine Learning & Data Science : Proficiency in Python or R for data manipulation, machine learning model development (scikit-learn, XGBoost, LightGBM), and statistical analysis. Experience building recommendation systems and personalization algorithms (e.g., collaborative filtering, content-based filtering). Familiarity with Generative AI (GenAI) technologies, including transformer models (e.g., GPT), GANs , and BERT for content generation and data augmentation. Knowledge of A/B testing and multivariate testing for campaign analysis and optimization. Big Data & Cloud Analytics Hands-on experience with Google Cloud Platform (GCP) , specifically BigQuery for large-scale data analytics and querying. Familiarity with BigQuery ML for running machine learning models directly in BigQuery. Experience working with GCP tools like Cloud Dataproc , Cloud Functions , Cloud Storage , and Dataflow to build scalable and efficient data pipelines. Expertise in SQL for data querying, analysis, and optimization of data workflows in BigQuery . E-commerce & Retail Analytics Strong understanding of e-commerce metrics such as conversion rates , AOV , CLV , and cart abandonment . Experience with analytics tools like Google Analytics , Adobe Analytics , or similar platforms for web and marketing data analysis. Data Visualization & Reporting Proficiency in data visualization tools like Tableau , Power BI , or Google Data Studio to create clear, actionable insights for business teams. Experience developing dashboards and reports that monitor KPIs and e-commerce performance. Desired Qualifications Bachelor's or Master's degree in Computer Science , Data Science , Statistics , Engineering , or related fields. 5+ years of experience in data science , machine learning , and e-commerce analytics , with a strong focus on personalization , campaign optimization , and Generative AI . Hands-on experience working with GCP and BigQuery for data analytics, processing, and machine learning at scale. Proven experience in a client-facing role or collaborating cross-functionally with product, marketing, and technical teams to deliver data-driven solutions. Strong problem-solving abilities, with the ability to analyze large datasets and turn them into actionable insights for business growth. Show more Show less
