DTICI__Data_Scientist_Data_operations_R&D (Bengaluru)

DTICI__Data_Scientist_Data_operations_R&D (Bengaluru)

02 Aug
|
Daimler Truck
|
Bengaluru

02 Aug

Daimler Truck

Bengaluru

Description
The ideal candidate should possess strong expertise in statistical modeling, machine learning, AI, and emerging Agentic AI frameworks, along with experience in solving real-world automotive or manufacturing problems such as predictive maintenance, quality analytics, supply chain optimization, or connected vehicle use cases.

Responsibilities
- Develop, validate, and deploy machine learning and AI models to solve business challenges.
- Apply statistical techniques (hypothesis testing, regression, Bayesian methods) to derive insights from complex datasets.
- Design and implement end-to-end data science pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
- Build and operationalize Agentic AI systems (autonomous agents, multi-agent workflows, LLM-based reasoning systems).
- Work on time-series forecasting, anomaly detection, and predictive analytics for manufacturing/automotive use cases.
- Collaborate with cross-functional teams including data engineering, product, domain experts, and business stakeholders.
- Interface with IoT,



telematics, MES, ERP, and connected vehicle platforms for data-driven insights.
- Ensure scalability and performance by deploying models using cloud-based solutions (Azure/AWS/GCP).
- Communicate findings effectively through visualizations, dashboards, and presentations.
- Stay current with advancements in AI/ML, including GenAI and Agentic AI ecosystems.

Qualifications
- Solid foundation in Statistics & Probability
- Hypothesis testing, regression models, A/B testing, Bayesian methods
- Expertise in Machine Learning
- Supervised & unsupervised learning, model tuning, ensemble techniques
- Hands-on experience with AI / Deep Learning
- NLP, computer vision, deep neural networks (preferred)
- Experience with Agentic AI / Generative AI
- LLMs (GPT, Llama, etc.), prompt engineering, RAG, autonomous agents
- Proficiency in Python (mandatory)
- Libraries: Pandas, NumPy, Scikit-learn, Ten

📌 DTICI__Data_Scientist_Data_operations_R&D (Bengaluru)
🏢 Daimler Truck
📍 Bengaluru

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