Senior Data Scientist

Ciklum India; Chennai District; On-site; INR 2,800,000 - 6,000,000; Full time

Job description

Ciklum is looking for a Senior Data Scientist to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About The Role:

As a Senior Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

• Apply evaluation-driven development practices across all modeling work: define success criteria before building, and validate against them throughout the lifecycle
• Select the appropriate modeling approach for the problem at hand — statistical modeling, classical ML, optimization, simulation, or GenAI — based on data characteristics, interpretability needs, and business context, rather than defaulting to a single technique
• Define evaluation metrics that map directly to business and process outcomes (e.g., cost savings, cycle-time reduction, forecast accuracy, decision quality), not just model-centric metrics (accuracy, F1, RMSE) in isolation
• Use a combination of synthetic data, historical data, and real-world validation to test model performance, robustness, and edge-case behavior before and after deployment
• Demonstrate and document measurable improvements in decisions, processes, or outcomes as a required part of every delivery — not an afterthought
• Own delivery of assigned workstreams within 45-day versioned agile release cycles, ensuring each release ships incremental, measurable value to stakeholders
• Collaborate with product, engineering, and business stakeholders to translate business problems into well-scoped modeling and analytics initiatives.
• Maintain clear versioning, documentation, and change logs across release cycles to support traceability and reproducibility
• Build and deliver AI/ML platform components and analytics products on AWS, applying MLOps practices (CI/CD for models, model registries, monitoring, automated retraining pipelines)
• Contribute to cost management and performance optimization for data and ML workloads (compute sizing, storage tiering, pipeline efficiency)
• Support synthetic data generation, offline experimentation (A/B testing, shadow deployments, backtesting), and controlled real-world validation of models before full rollout
• Balance model performance against explainability, regulatory/compliance requirements, and infrastructure cost when selecting and tuning approaches
• Partner with risk, compliance, and governance functions as needed to ensure models meet audit and explainability standards

Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
• 5–8+ years of experience delivering data science, ML, or analytics solutions in production environments
• Demonstrated experience across multiple modeling paradigms: statistical modeling, machine learning, optimization, simulation, and exposure to GenAI applications
• Hands-on experience with AWS-based ML/data platforms (e.g., SageMaker, S3, Glue, Redshift, Lambda) and MLOps tooling
• Practical experience with synthetic data generation techniques, offline experimentation frameworks, and controlled validation methodologies
• Strong proficiency in Python/R/SQL and standard ML libraries
• Experience working in agile delivery models with short, versioned release cycles
• Ability to communicate technical trade-offs (performance vs. explainability vs. cost) to both technical and non-technical stakeholders
• Experience with explainability frameworks (SHAP, LIME) and model risk/compliance documentation
• Experience with GenAI/LLM-based solution design and evaluation
• Familiarity with cost-monitoring tools for cloud ML workloads (e.g., AWS Cost Explorer, tagging strategies)

What’s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About Us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!