Data Scientist

3 weeks ago

Bengaluru, Karnataka, India RCM Business Solutions Full time

Key Responsibilities :

- Lead the application of advanced analytics and machine learning across Marketing to drive strategic, data-informed decisions.

- Design, build, and deploy predictive models and trigger-based audiences for use in Marketing communications across multiple media channels.

- Enhance and manage feature engineering processes and feature store development for Marketing use cases.

- Integrate digital analytics (e.g., Adobe Analytics) into data science models and use cases.

- Deliver outcomes aligned with the AI/ML roadmap and architecture capabilities.

- Continuously identify, promote, and embed new advanced analytics techniques within the team and across the Marketing function.

- Present complex analytical findings in a clear and actionable manner using visualisation tools and insight presentations tailored to senior stakeholders.

- Develop innovative analytic approaches to uncover unmet customer needs and improve financial wellbeing.

- Champion standardisation and reusability of code, features, and solutions to improve time to insight.

Key Performance Indicators (KPIs) :

- Timely and high-quality delivery of data science solutions aligned to business goals.

- Recognition as a key contributor to innovation and the development of Marketing analytics capabilities.

- Measurable improvements in insight delivery timelines through standardized and reusable frameworks.

- Strong stakeholder relationships; known as a trusted advisor within the business.

Essential Capabilities :

- Passion for analytics and data science, with awareness of the latest industry trends.

- Proven ability to solve business problems using data and analytical techniques.

- Strong strategic and customer-centric mindset.

- Ability to communicate complex concepts clearly to non-technical stakeholders.

- Strong problem-solving, documentation, and analytical thinking skills.

- Self-management and accountability for personal tasks and project deliverables.

- Collaboration and influencing skills across cross-functional teams.

Essential Experience :

- 10+ years of experience in data science, analytics, or related fields.

- Expertise in building, deploying, and operationalising machine learning models.

- Proficiency in SQL, Python, PySpark, and Spark ML.

- Hands-on experience with cloud platforms such as AWS (preferred), Azure, or GCP.

- Skilled in using GitHub for version control and collaboration.

- Strong experience in working with both structured and unstructured datasets.

- Familiarity with Auto ML platforms such as Data Robot or H2O AI.

- Deep understanding of customer and digital data, and their use in marketing and communications.

- Experience with agile delivery methodologies and collaboration tools.

Desirable Experience :

- Leadership in the use of AI/ML and analytics to guide Marketing strategy.

- Input into development of AI roadmaps and alignment with architecture/platform capabilities.

- Ownership of continuous improvement in analytics tools, techniques, and adoption.

- Skilled in visualising data using tools such as Tableau, Power BI, or similar.

- Experience in developing innovative solutions that address both met and unmet customer needs.

Qualification Requirements :

- Bachelor's or postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related disciplines.

- Key Stakeholder Groups

- Principal Data Scientist

- Product Owners across the Marketing domain

(ref:hirist.tech)

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