Job Description

As a Data Scientist at the Daimler Truck Innovation Center India, you will be at the forefront of our AI and innovation initiatives. Your role will be pivotal in applying cutting-edge AI/ML methods to develop rapid PoCs and automated pipelines. With a strong focus on Python/PySpark, SQL/KQL, Azure, Databricks, and graph DBs, you will be instrumental in solving complex, unfamiliar business problems. Your expertise and continuous learning approach will be key to our success.

• 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.

• 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.