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DTICI_Data scientist – Innovation and AI_T7

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.

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.
  • 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.
At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company. Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.
At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company. Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.
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