Data scientist (AI Native, flat team structure, business growing)

Visa Hunt

Singapore

On-site

SGD 120,000 - 180,000

Full time

12 days ago

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Job summary

Dada Consultants Pte Ltd in Singapore is seeking a seasoned Senior Data Scientist to act as a strategic partner to business leaders, translating complex data into actionable insights that shape product direction and commercial strategy.

You will lead end-to-end analytics, build robust data systems, design experiments, and collaborate with product, operations, and commercial teams to ensure data outputs drive decisions and scale across a consumer internet business.

Qualifications

  • Master's degree or above in a quantitative field such as CS, stats or math.
  • 4+ years in data science, analytics, or strategic analysis in internet/tech.
  • Strong business acumen and ability to translate questions into analytics.
  • Excellent reasoning and problem-solving with impact on decisions.
  • Proficiency in leveraging AI tools and building end-to-end analytics pipelines.

Responsibilities

  • Lead end-to-end data analysis initiatives supporting business decisions across core functions.
  • Develop deep understanding of business verticals and drive product iterations and pivots.
  • Design and build robust data systems and reporting frameworks across the org.
  • Establish rigorous measurement methodologies, experiments, and attribution models.
  • Partner with product, operations, and commercial teams to ensure actionable data outputs.
  • Own end-to-end analytical workflows leveraging AI tools for efficiency and scale.

Skills

Business acumen
Analytical thinking
Problem solving
AI tool proficiency
Cross-functional collaboration

Education

Master's degree or above in Computer Science, Statistics, Mathematics, or a related quantitative discipline

Job description

About the Role

Our client is a fast-growing technology platform and expanding the team here. They are seeking a seasoned Senior Data Scientist to serve as a strategic thought partner to business leaders, translating complex data into actionable insights that shape product direction and commercial strategy. This is a high-impact, highly visible role for someone who thrives at the nexus of data science and business strategy, and who wants their analytical work to directly influence the trajectory of a scaled consumer internet business.

Key Responsibilities
  • Lead end-to-end data analysis initiatives that support business decision-making across community, commercialisation, and e-commerce functions
  • Develop deep understanding of core business verticals and deliver in-depth analytical work that drives product iteration and strategic pivots
  • Design and build robust business data systems and reporting frameworks that elevate the value of data across the organisation
  • Establish rigorous measurement methodologies, including experimentation design, quantification models, and attribution frameworks to evaluate business performance
  • Partner closely with product, operations, and commercial teams to ensure data outputs are actionable and well-adopted
  • Own the development of end-to-end analytical workflows, leveraging modern AI tools and automation to improve analytical efficiency and scalability
Requirements
  • Master's degree or above in Computer Science, Statistics, Mathematics, or a related quantitative discipline
  • 4+ years of experience in data science, business analytics, or strategic analysis within an internet or technology environment
  • Strong business acumen with a demonstrated ability to collaborate closely with cross-functional business stakeholders and translate ambiguous questions into structured analytical frameworks
  • Excellent logical reasoning and deep-dive problem-solving capabilities, with a track record of delivering insights that influenced strategic decisions
  • Proficiency in leveraging AI tools and the ability to independently build and optimise end-to-end analytical pipelines

Dada Consultants Pte Ltd

Website: www.dadaconsultants.com

EA License No.: 18S9037

Business Registration Number: 201735941W

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