Data Science Manager
CRM Python ML
Salary
Location
Job Overview And Responsibility
1. Build Advanced AI/ML Models for Customer-Centric Challenges: • Segment and understand our customers: Develop sophisticated segmentation and clustering models to identify distinct customer groups based on their behavior and value. • Predict and personalize: Build powerful recommendation systems, channel attribution models, and predictive models for churn and conversion likelihood. • Optimize marketing impact: Design and implement solutions to determine the optimal timing, content, channel, and messaging for targeted marketing campaigns. • Automate personalized experiences: Develop automated scenarios for personalized customer care and interactions across various lifecycle stages and touchpoints. 2. Design Robust Customer Data & Measurement Systems: • Establish comprehensive metrics: Create multi-dimensional measurement frameworks (behavioral, attitudinal, transactional, CLTV, etc.) to underpin customer behavior analysis and marketing strategies. • Develop customer scoring models: Design and implement scoring models to assess customer potential, brand loyalty, and campaign responsiveness. • Champion data quality and accessibility: Collaborate closely with BI and data platform teams to standardize data structures, ensuring efficient access, analysis, and connectivity of customer data. • Unlock new data frontiers: Advise on innovative ways to leverage data from our entire customer interaction ecosystem, including CRM, Web/App, Offline, POS, and Customer Service. 3. Drive Practical Applications of GenAI and AI: • Innovate with GenAI: Propose and implement GenAI applications to elevate customer experience (e.g., intelligent chatbots, personalized content generation, automated feedback summaries). • Extract customer intelligence: Integrate LLMs, RAG, or vector search to uncover valuable customer insights from unstructured data sources like emails, feedback, and conversations.
Required Skills and Experience
Education • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Econometrics, or a related field with a strong quantitative foundation. Professional Experience • 5+ years of hands-on Data Science experience, with a strong focus on customer-centric problems, marketing, and user experience. • Proven track record of deploying models such as segmentation, churn/conversion prediction, uplift modeling, product recommendation, multi-touch attribution, and customer journey prediction. • Experience in building customer measurement systems and frameworks is a significant advantage. • A solid understanding of the operational logic behind marketing automation systems, CRM, and DMP/CDP platforms. Tools & Techniques • Proficiency in Python, SQL, and popular ML libraries (scikit-learn, XGBoost, LightGBM, TensorFlow, etc.). • Hands-on experience in building data pipelines and deploying models into production. • Familiarity with GenAI architecture, vector databases, LangChain, OpenAI API, or similar technologies is a plus. Personal Attributes • Strategic thinker: Understands how customer data impacts business growth and operational efficiency. • Self-starter: Capable of independently driving AI projects from inception to completion, even with limited resources. • Curious and business-minded: Eager to delve into business logic and effectively translate complex technical solutions into understandable insights for non-technical stakeholders.
Why Candidate should apply this position
• Benefits will be shared in detail with successful candidates.
Preferred skills and experiences
• Prioritize candidates who can onboard as soon as possible
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