Data Scientist – Innovation and AI

Daimler Truck AG

Data Scientist leveraging AI/ML for innovation at Daimler Truck. Developing PoCs and solving business challenges with advanced techniques.

Posted 7/3/2026full-timeBengaluru • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in AI/ML techniques, including proficiency in Python, PySpark, and SQL, with a strong analytical mindset for solving complex business problems. Holds a Master's or PhD in a relevant field and possesses extensive experience in developing innovative models using frameworks like TensorFlow and PyTorch.

Highest-signal resume keywords

AI/ML ExpertisePython/PySpark ProficiencySQL/KQL KnowledgeTensorFlow Framework ExperienceStrong Analytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML TechniquesStatistical MethodsData Mining TechniquesModel DevelopmentAutomated ExperimentsProof-of-Concept ModelsUnstructured Data HandlingGraph DatabasesOntology KnowledgeAdvanced Data Analysis

Soft Skills

Problem-Solving MindsetStrong Communication SkillsContinuous Learning AttitudeAbility to Work IndependentlyProject Management

Tools & Technologies

AzureDatabricksTensorFlowPyTorchScikit-learnSQLKQLPythonPySparkGraph DB

Industry Keywords

Data ScienceComputer ScienceAutomotive IndustryApplied MathematicsStatistics

Tech Stack

Tools & technologies

AzureJavaPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Key responsibilities include
- · Deep understanding Applying advanced AI/ML techniques, including core statistical methods like Markov chain, Genetic algorithms, NLP and computer vision, finetuning SLM
- · Identifying new opportunities, rapidly build, test, and refine proof-of-concept (PoC) models, creating automated experiments and pipelines.
- · Strong Python, pyspark proficiency, knowledge of SQL,KQL,Azure, Databricks, graph DB, Ontology will be very useful in this role
- · Aptitude to solve different, unfamiliar business problems is key to the role
- · Should have a mindset of learning and experimenting with new methods and technology
- · Education: Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
- · Experience: 8+ years of experience in data science, with a proven track record of developing innovative AI/ML models.
- · Technical Proficiency: Advanced knowledge of Python or Java for data analysis. Expert skills in SQL and data mining techniques.
- · ML Expertise: Deep experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
- · Analytical Mindset: Ability to handle unstructured data and apply statistical methods to validate hypotheses.
- · Communication: Strong ability to communicate findings to stakeholders.

Requirements

What you’ll need

Master's or PhD in Computer Science, Data Science, or a related field.
8+ years of experience in data science, with a strong focus on AI/ML.
Expertise in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Hands-on experience with Python/PySpark, SQL/KQL, Azure, and Databricks.
Knowledge of graph databases and ontologies for data representation.
Strong analytical skills and a problem-solving mindset.
Excellent communication skills for interacting with stakeholders and presenting complex ideas.
Ability to work independently and manage multiple projects simultaneously.
A continuous learning attitude and a passion for staying updated with industry trends.
Experience in the automotive industry is an advantage.

Benefits

Comp & perks

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