Data Scientist

We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.

Are you ready to embark on this journey?

Our client is seeking a Data Scientist. By applying, you gain access to the Hashlist network, unlocking opportunities in automotive projects across the industry.

Available locations: This position is open to candidates in Brazil and India (Bengaluru, Chennai & Pune).

Responsibilities:

• Develop machine learning models for predictive analytics, anomaly detection, and classification using real-time and historical data.
• Implement AI techniques such as deep learning and NLP, applied to automotive data.
• Design statistical models for analyzing telematics and vehicle performance data.
• Build scalable data pipelines to process real-time streaming data from sensors and telematics systems.
• Implement real-time analytics solutions for immediate data monitoring.
• Collaborate with engineers to integrate data science solutions into vehicle systems.
• Create data visualizations to present insights and model results to stakeholders.
• Stay updated on data science advancements to bring innovative solutions to the team.
• Work with cross-functional teams to align data science projects with business goals.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• 5+ years of experience in data science with a focus on machine learning and predictive modeling.
• Experience with real-time or streaming data and telematics.
• Proficiency in Python, R, or Java, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of statistical modeling and feature engineering.
• Familiarity with data processing tools like Apache Kafka, Flink, and Spark.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong problem-solving skills and ability to derive actionable insights from data.

Next Steps:

• Click "Apply."
• We will review your application.
• If qualified, you’ll be accepted into the Hashlist network and considered for this and other relevant projects.