Data Science Lead

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Job Responsibilities

• Lead a team of data specialists to deliver actionable insights, ML models, data pipelines, dashboards, and impactful analyses.
• Work with the team to put the right data infrastructure, reporting, and models in place to support connected vehicle ML/AI.
• Mentor the team to create effective analyzes and their data analysis skills.
• Manage data analytics and insight process with data scientists and data engineers, and ML engineers.
• Build data applications to provide real-time data analysis.
• Create architectural standards to design a data stack for highly scalable and resilient data pipelines with streaming and batch processing.
• Continuous research of the latest data technologies to provide new capabilities and continuously increase efficiency.

Job Qualifications

• Bachelors or Master’s in computer science, engineering, mathematics, or a related technical discipline.
• Understanding of statistical models and machine learning algorithms.
• Strong leadership and team building skills.
• 5+ years of experience in data and Analytics.
• 3+ years of experience managing & leading Data Scientists & Data Engineers.
• Experience in building data solutions and architecture using Azure & open-source services.
• Knowledge in Columnar DB, Hadoop, and relational databases.
• SQL, Python, and Spark knowledge to create aggregates from raw data sets.
• Worked with distributed ML systems such as Spark, Dask and/or Ray.
• Production experience in creating architecture for ML teams to build, train & scale machine learning models.