Principal Data Scientist

Company Overview

The company is involved in data and analytics, particularly catering to the needs of Daimler Truck, with a vibrant and energetic team based in Bengaluru, India.

Job Summary

The Principal Data Scientist will engage in exploratory analysis, incremental hypothesis validation, model development, deployment, and monitoring. This role focuses on transforming complex business questions into actionable insights and predictive models, significantly contributing to the organization's goals in the R&D, supply chain procurement, and manufacturing domains.

Responsibilities

• Problem Definition: Collaborate with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Solution Design: Develop hypothesis matrices and design solution architectures in conjunction with solution architects.
• 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): Utilize statistical methods and visualization techniques to uncover trends, validate assumptions, and summarize key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models appropriate for business problems, evaluating performance with relevant metrics while documenting model assumptions.
• Deployment and Monitoring: Collaborate with engineering teams for model deployment, establish performance monitoring, retrain models as necessary, and incorporate feedback to enhance accuracy.

Qualifications

• Education: Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience: At least 5 end-to-end involvements in advanced analytics topics, including 2 projects on structured data that are production deployed rather than proof-of-concept (PoC).
• Strong Communication Skills: Ability to effectively convey insights to both technical and non-technical audiences.

Preferred Skills

• Strong knowledge of Applied AI, Machine Learning (ML), and Deep Learning techniques.
• In-depth understanding of various machine learning algorithms such as tree-based methods, clustering, regression, classification, and dimension reduction techniques.
• Proficiency in statistical concepts, including probability distributions, hypothesis testing, correlation analysis, and descriptive statistics.
• Familiarity with programming languages such as Python and Pyspark, and experience with object-oriented concepts.
• Knowledge of Spark, Databricks, and Azure technical stack.
• Experience in deploying models to cloud or on-premises environments.
• Good communication and presentation skills.

Experience

While specific minimum experience is not mentioned, candidates should possess relevant experience in data science and model deployment.

Environment

The position is based within the Data and Analytics department at the DTICI Bengaluru hub, which fosters a collaborative and innovative workspace focused on solving meaningful business challenges.

Salary

Salary details are not specified.

Growth Opportunities

Career advancement opportunities within the organization are not detailed.

Benefits

No specific benefits are mentioned.