Role & Responsibilities-

We are looking for a Principal Data Scientist for our Advanced Analytics and Big Data team. The scope of the team is to generate insights for data-driven decisions in the domain of product development using methods of systematical data analysis. The main task is to identify suitable problem statements and develop sustainable solutions in an international and diverse environment. Our methods are based on state of the art technology such as artificial intelligence, cloud computing and agile software development in order to provide groundbreaking insights for vehicle development.

At Daimler Truck, we change todays transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions.

All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOUMAKEUS We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team.

The scope is to generate insights for data driven decision making in the After Sales/After Market domain.

Job Summary-

We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models.

Key Responsibilities

Problem Definition:
Partner with stakeholders to translate business goals into clear,



data-focused questions and define project scope and success metrics.

Data Collection and Preparation:
Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.

Exploratory Data Analysis (EDA):
Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.

Model Building and Evaluation:
Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.

Deployment and Monitoring:
Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.

Requirements-

- Bachelors/Masters in Data Science, Statistics, Computer Science, or related field.
- Experience in end to end model development to deployment and performance monitoring.
- Strong communication skills to convey insights to technical and non-technical audiences.

Skills Needed:

Robust knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP.

Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN,



Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.

Full stack development & product Management (Web, Mobile): Hardcore Full Stack Data Scientist with end to end single-handed multi hat role to work on building an AI Conversation Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to Text Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN, deep learning to solve the specific complex problem in Auto sector as single-handed doer or in a small Data Science Team with full end to end ownership of delivery.

Machine Learning - Classification and prediction for intuitive results at scale. Strong experience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

Technical architect & solution design expertise having a good understanding of design & architecture principles. Act as Cloud micro services architect.

In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.

Advanced coding experience in at least one programming language (Python, Pyspark) & Robust experience in object-oriented concepts.

Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack

Good to have experience in model deployment to cloud/on-prem.

Good Communication & presentation skills.

Statistical Data Modelling, Big Data-

- Recommend appropriate searching and indexing methods
- Use big data tools and platforms to access data and run models
- Big Data: Remove constraints on volume, variety and velocity of data

📌 Principal Data Science Engineer (Bengaluru)
🏢 Daimler Trucks Innovation Center
📍 Bengaluru