Current jobs related to Data Scientist, Product Analytics - Singapore - Meta

  • Data Scientist, Product Analytics

    1 week ago

    Singapore Meta Full time

    **Data Scientist, Product Analytics Responsibilities**: - Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems. - Work as a key member of the product team to solve problems and identify trends and opportunities. - Inform, influence, support, and execute our product decisions and product...

  • Data Scientist, Product Analytics

    2 days ago

    Singapore Meta Full time

    **Data Scientist, Product Analytics Responsibilities**: - Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. - Define,...

  • Data Scientist, Product Analytics

    2 days ago

    Singapore Meta Full time

    **Data Scientist, Product Analytics Responsibilities**: - Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. - Define,...

  • Data Scientist, Product Analytics

    2 weeks ago

    Singapore FACEBOOK SINGAPORE PTE. LTD. Full time

    Roles & ResponsibilitiesAs a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will...

  • Senior Data Scientist

    2 weeks ago

    Singapore GFIN SERVICES (S) PTE. LTD. Full time

    With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance,...

  • Data Analytics Manager

    2 days ago

    Singapore PLUANG TECHNOLOGIES PTE. LTD. Full time

    **Position description**: As a Data Analytics Manager (Product Analytics), you will play a pivotal role within our data team, collaborating closely with product, design, and engineering teams. Your primary goal will be to derive actionable insights from extensive datasets, influencing strategic decisions, improving user experience, and driving product...

  • Data Scientist

    2 weeks ago

    Singapore Land Transport Authority Full time

    **What the role is** - DATA SCIENTIST / DATA ANALYTICS ENGINEER (PREDICTIVE ASSET MGMT. & MAINTENANCE) **What you will be working on** - You will be part of the asset management team, to develop predictive algorithms and prognostics for decision support in areas of predictive maintenance of railway and digital asset management. You will perform some of the...

  • Data Scientist

    2 days ago

    Singapore Aon Corporation Full time

    Data scientist **Data Scientist** **Aon is in the business of better decisions** At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. Aon is currently...

  • Data Scientist

    2 weeks ago

    Singapore REAL ESTATE ANALYTICS PTE. LTD. Full time

    **Duties & Responsibilities**: - Drive and lead data science related products - Develop and manage streaming data pipelines at enterprise scale. - Design and build new framework and automation tools to enable teams to consume and understand data faster - Build, validate, test, and deploy models and algorithms. - Developing short and long-term data strategy...

  • Data Scientist

    3 weeks ago

    Singapore MOHAN MANAGEMENT CONSULTANTS PTE LTD Full time

    Roles & ResponsibilitiesOn behalf of our client we are looking for On behalf of our client weare looking for Data Scientist to work one on one basison various tasks.Our way to impactAs a decision scientist, you will analyse key performance indicators and track financial and operational metrics with the aim of adapting Our advanced proprietary fraud...

Data Scientist, Product Analytics

3 weeks ago

Singapore Meta Full time

Join to apply for the
Data Scientist, Product Analytics
role at
Meta
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership:
You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics:
You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence:
You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications:
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum of 4+ years experience doing quantitative analysis.
Fluency in SQL, R, or Python.
4+ years experience leading product analytics and influencing product roadmap.
4+ years experience designing and running A/B tests.
Experience understanding ecosystems, user behaviors and long-term product trends.
Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries: Technology, Information and Internet
#J-18808-Ljbffr