Lead Data Scientist: Data Strategy & Team Leadership

IntellicaCX; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

IntellicaCX is seeking a Lead Data Scientist to head a technical team and extract actionable insights from raw data.

Responsibilities include managing a team of data scientists, ML engineers and big data specialists, planning data projects, building analytics models, and ensuring data quality. Candidates should have proven experience in data science, ML, data management, statistics, and proficiency in R, Python and MATLAB, with SQL/NoSQL knowledge and strong leadership.

Qualifications

• Proven experience as a Data Scientist or similar role.
• Solid understanding of machine learning.
• Knowledge of data management and visualization techniques.
• A knack for statistical analysis and predictive modeling.
• Good knowledge of R, Python and MATLAB.
• Experience with SQL and NoSQL databases.
• Strong organizational and leadership skills.
• A business mindset.
• Degree in Computer Science, Data Science, Mathematics or similar field.

Responsibilities

• Manage a team of data scientists, machine learning engineers and big data specialists.
• Lead data mining and collection procedures.
• Ensure data quality and integrity.
• Interpret and analyze data problems.
• Conceive, plan and prioritize data projects.
• Build analytic systems and predictive models.
• Test performance of data-driven products.
• Visualize data and create reports.
• Experiment with new models and techniques.
• Align data projects with organizational goals.

Skills

Team leadership

Python

R

SQL

Statistics

Machine learning

Data visualization

Education

Degree in Computer Science, Data Science, Mathematics or similar field

Tools

MATLAB

NoSQL databases

Job description

IntellicaCX is seeking a Lead Data Scientist to head a technical team and extract actionable insights from raw data.

Responsibilities include managing a team of data scientists, ML engineers and big data specialists, planning data projects, building analytics models, and ensuring data quality. Candidates should have proven experience in data science, ML, data management, statistics, and proficiency in R, Python and MATLAB, with SQL/NoSQL knowledge and strong leadership.