Data Science Engineer

Job Overview

We are seeking a passionate and driven founding Data Science Engineer to join our dynamic Product & Tech team. This role offers a unique opportunity to work in a fast-paced startup environment, contributing to the transformation of Southeast Asia's manufacturing sector. You will play a critical role in building ETL pipelines, analyzing complex datasets, and implementing data-driven solutions to optimize our manufacturing processes. Your work will directly impact our decision-making process, empowering our team to make data-driven choices and drive commercial success.

Job Responsibilities

• Lead Cross-Functional Teams: Collaborate with diverse teams to identify data science opportunities and develop solutions for business challenges.
• Design and Build Data Pipelines: Ensure data availability, accuracy, and quality for analysis and modeling by managing data. Reorganize and optimize ETL pipeline code for better management and scalability. Manage dispersed data repositories across multiple databases, proposing and implementing efficient database management solutions to handle increasing data volumes. Automate ETL workflows for seamless data processing.
• Data Preparation: Perform data preprocessing, cleaning, and feature engineering to prepare data for analysis.
• Documentation: Maintain comprehensive documentation for data science processes, models, and algorithms to ensure reproducibility and knowledge sharing.
• Collaborate with Engineering: Work closely with the technology engineering team to apply statistical and mathematical techniques to solve complex problems and enhance operational efficiency.
• Communicate Insights: Present insights and findings to stakeholders through clear, concise visualizations and reports. Lead the transition from Python-based dashboards to BI low-code platforms.
• Support Business Objectives: Build predictive models, identify trends, and generate actionable insights to support business goals.

Job Requirements

• Experience: 2+ years in data science, data analysis, or data engineering roles, ideally involved in building ground-up solutions.
• Project Management: Experience in building and managing structured projects, including the development and implementation of standardized processes and methodologies. Skilled at working independently to identify gaps in data collection and analysis workflows, taking the initiative to develop and implement effective solutions.
• Programming Skills: Strong proficiency in Python and FastAPI/Flask with the ability to write clean, efficient and testable code. Version control with Git and GitHub.
• Data Engineering: Familiarity with SQL and NoSQL Databases and schema design. Experience in designing and implementing ETL pipelines and using data warehousing tools like PowerBI.
• Data Visualization: Experienced in data visualization tools such as Tableau, Power BI, and Python data-oriented libraries such as Streamlit and Matplotlib to create compelling visual representations of data.
• Statistical Knowledge: Solid understanding of statistical and mathematical concepts, with practical experience applying them in real-world scenarios.
• Problem-Solving: Excellent problem-solving skills and attention to detail.
• Communication: Strong communication skills and the ability to work collaboratively in a team environment.

Preferred (but not required)

• Leadership Experience: Previous experience in a leadership role or a desire to grow into a leadership position.
• Industry Experience: Experience in the manufacturing industry or a related field.
• Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.
• AI and Machine Learning: Experience with AI and machine learning techniques.

Why You Should Join Us

• Startup Culture: Be part of a vibrant and collaborative startup environment with opportunities for professional growth.
• Cutting-Edge Technology: Gain exposure to cutting-edge technology and real-world problem-solving.
• Holistic Learning: Engage directly with various departments, fostering a well-rounded learning experience.
• Mentorship: Receive guidance from experienced professionals in the field.
• Flexible Arrangements: Enjoy flexible working arrangements to accommodate your commitments.
• Impactful Work: Contribute to the transformation of Southeast Asia's manufacturing industry.

Job Type: Full-time

Pay: $5,000.00 - $6,500.00 per month

Benefits:

• Work from home

Schedule:

• Monday to Friday

Supplemental Pay:

• Performance bonus

Experience:

• Data science: 2 years (Required)

Location:

• Singapore 139967 (Required)

Work Location: Hybrid remote in Singapore 139967

Application Deadline: 31/10/2024