About the Role
As a Senior Data Scientist , become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities
Prototype Solutions : Develop prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Exploratory Data Analysis : Work on exploratory data analysis to navigate a dataset and draw broad conclusions based on initial appraisals.
Optimization Recommendations : Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others.
Collaboration : Interact with engineering teams to ensure that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
Business Collaboration : Work directly with business analysts and data engineers to understand and support their use cases.
Data-Driven Business Solutions :



Collaborate with stakeholders throughout the organization to identify prospects for leveraging company data to drive business solutions.
Drive Innovation : Drive innovation by exploring current experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes.
Cross-Training : Cross-train other team members on technologies being developed, while also continuously learning current technologies from other team members.
Community Contribution : Contribute to unit activities and community building, participate in conferences, and provide excellence in exercise and best practices.
Sales & Marketing Support : Support marketing & sales activities, customer meetings, and digital services through direct support for sales opportunities and providing thought leadership & content creation for the service.

Requirements
Education : BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics

📌 Senior Data Scientist Chennai (India)
🏢 Ciklum
📍 India