Lead Data Scientist

CARSOME; Petaling Jaya; On-site; MYR 150,000 - 250,000; Full time

Job summary

A leading automotive technology company in Petaling Jaya is looking for a proficient Lead Data Scientist to drive data science initiatives and optimize business solutions. You will lead the entire project lifecycle, ensuring impactful delivery and strategic alignment across stakeholders. The ideal candidate has extensive experience in data science, strong programming skills in Python or R, and deep knowledge of machine learning algorithms. Join us to make a significant impact!

Qualifications

• 6+ years of experience in data science.
• Proficient in Python and R with data science libraries.
• Experience with various machine learning algorithms.

Responsibilities

• Lead data science projects from conception to deployment.
• Ensure data science aligns with business objectives.
• Guide team on methodologies and best practices.

Skills

Data science leadership

Programming in Python/R

Machine learning algorithms

Data warehousing experience

MLOps knowledge

Communication skills

Tools

Python

R

SQL

AWS

TensorFlow

PyTorch

Job description

About You

As a Lead Data Scientist, you will drive our data science initiatives from concept to impactful delivery. You will play a crucial role in driving data-informed decisions across the organization, leading team members to ensure we deliver projects with actual business impact, and championing technical excellence and innovation within our data science team.

Your Day-To-Day

• Initiating and Leading Projects: Identifying opportunities where data science can add value and solve business problems, including prescriptive analytics and predictive modeling. Managing the entire project lifecycle from solution design to model deployment, including task prioritization and risk mitigation, to ensure the timely delivery of high-quality data products and insights.
• Driving Impactful Outcomes: Ensuring data science contributions directly support and advance business objectives, focusing on improving operational efficiency, optimizing product offerings, and identifying new growth opportunities.
• Ensuring Strategic Alignment: Effectively communicating complex data findings and recommendations to both technical and non-technical stakeholders, ensuring insights are clearly understood and directly address strategic business needs.
• Guiding Team on Methodologies: Establishing and championing best practices, frameworks, and robust internal processes for data science methodologies to keep the team at the forefront of the field.
• Overseeing Delivery & Production Maintenance: Being responsible for the successful delivery and ongoing maintenance of machine learning, data science, and AI initiatives, including monitoring model performance and addressing data drifts.

Your Know-How

• Extensive Experience: 6+ years of experience in data science. Preference will be given to those who have a proven track record of leading and mentoring junior data scientists.
• Programming Proficiency: Expert-level proficiency in Python and/or R, including experience with relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch).
• Machine Learning/ AI Expertise: Deep understanding and practical experience with a wide range of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their applications.
• Data Warehousing & Databases: Proficient in SQL and experience working with large-scale databases and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Cloud Platforms: Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment.
• MLOps: Familiarity with MLOps principles and tools for deploying, monitoring, and maintaining machine learning models in production.
• Communication & Storytelling: Exceptional ability to translate complex analytical findings into clear, concise, and actionable insights for diverse audiences.