Data Scientist
Data Scientist
Posted on :
28-07-2025
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1 Vacancy
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Job Description
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: Strong 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 -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) & Strong 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.
Employment Type
Full-time
Key Skills
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