Data Scientist

Company Overview

The Department of Data and Analytics has its hub at DTICI Bengaluru, India, catering to data and analytics requirements for Daimler Truck. Our team comprises over 150 members, including Data Engineers, Data Scientists, AI Engineers, and Analysts.

Job Summary

We are looking for a Data Scientist to join our DNA Team, specializing in R&D, supply chain procurement, and manufacturing domains. This role involves exploratory analysis, incremental hypothesis validation, model development, deployment, and monitoring. The Data Scientist will transform complex business questions into actionable insights and predictive models, contributing to the organization’s overall goals.

Responsibilities

• Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions, defining project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency; engineer features to enhance model performance.
• Exploratory Data Analysis (EDA): Utilize statistical methods and visualization techniques 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: Collaborate with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.

Qualifications

• Education: Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience: Proven experience in end-to-end model development, deployment, and performance monitoring.
• Communication Skills: Strong communication skills to effectively convey insights to both technical and non-technical audiences.

Skills Needed

• Extensive knowledge of Applied Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning techniques.
• Proficiency in machine learning algorithms, including tree-based methods, clustering, regression and classification, dimensional reduction techniques, linear regression, logistic regression, K-means, time series forecasting, and hypothesis testing (ANOVA, t-test, etc.).
• In-depth understanding of statistical concepts such as probability distributions, statistical tests, correlation analysis, descriptive statistics, and performance metrics (ROC, F1 Score, etc.).
• Proficient in programming languages (Python, PySpark) and object-oriented concepts.
• Familiarity with Spark, Databricks, and the Azure technical stack.
• Experience in model deployment to cloud/on-premises environments.
• Excellent communication and presentation skills.

Preferred Skills

• Additional familiarity with advanced AI/ML frameworks and tools.
• Experience with data visualization tools.

Experience

• Relevant experience in data science and machine learning roles is preferred, but specific years of experience are not stated.

Environment

The role is based at our hub in DTICI Bengaluru, India. Further details on the work setting are not specified but may involve collaboration with cross-functional teams.

Salary

Salary details are not specified.

Growth Opportunities

Career advancement opportunities within the Data and Analytics department may include leadership positions, specialized roles in machine learning, or cross-functional collaborations.

Benefits

Details regarding offered benefits are not specified.