Data Science Manager

Job Description

Role Purpose

The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer.

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Job Role: Senior Data Scientist/Analyst

Entrust is seeking a highly experienced and strategic Senior Data Scientist/Analyst to join our Marketing Analytics team. This critical role will be instrumental in transforming our data landscape and elevating our analytical capabilities. If you're a seasoned professional with a passion for data unification, advanced analytics, and building high-performing teams, we encourage you to apply.

Responsibilities

• As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes.
• Your initial and most crucial responsibility will be to architect and implement a unified, end-to-end view of the customer journey. This involves:
  • Data Consolidation: Identifying, extracting, transforming, cleansing and integrating data from a multitude of disparate sources, including but not limited to Salesforce, Oracle, various marketing automation platforms, webinar systems, other legacy systems and website analytics.
  • Navigating Complexity: Addressing the inherent complexities of data fragmentation due to multiple acquisitions, including reconciling different system definitions, data structures, and business rules.
  • Holistic Journey Mapping: Developing a comprehensive view of every customer and prospect interaction and touchpoint across all integrated systems.
• From there, you will lead the charge in advancing our analytics function to the next level by:
  • Developing Advanced Analytics: Implementing and applying advanced analytical techniques, including predictive modeling, to uncover actionable insights and optimize marketing performance.
  • Driving Strategic Insights: Translating complex data into clear, compelling narratives and recommendations that inform marketing strategy and business decisions.
  • Building for the Future: Establishing the foundation for a scalable data analytics infrastructure that can grow with the needs of the business.

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• Skills

  • Analyze complex data using statistical and machine learning models to derive actionable insights
  • Utilize SQL, Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services as well as tools like Tableau
  • Develop innovative solutions for natural language processing and generative modelling tasks using NLP, Generative AI, and LLMs
  • Working knowledge in micro-segmentation and leads discovery, predictive cross-sell models, experience analytics, and unified customer intelligence to drive our marketing and sales strategies.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions
  • Ensure model robustness, model generalization, accuracy, testability, and efficiency
  • Design and maintain data pipelines and workflows within AWS for optimal performance and scalability
  • Communicate findings and insights effectively to stakeholders reports and visualizations.
  • You are comfortable working in a dynamic environment and are eager to expand your focus beyond marketing data over time to support broader business initiatives

   

  Qualifications

  • A master’s degree in data science, Statistics, Computer Science, or a related field.
  • 10+ years of proven experience in developing machine learning models, particularly for time series data within a financial context.
  • Advanced programming skills in SQL, Python.
  • Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models.
  • Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms.
  • Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail.
  • Superior communication skills, enabling the clear and concise presentation of complex findings.
  • Extensive experience in AWS for data processing, model training, and deployment.
  • Industry knowledge within Data Security, Issuance and Identity Security is a bonus