Staff Data Scientist, Analytics (Product) Job at Airwallex (Singapore)

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Staff Data Scientist

We’re looking for a Staff Data Scientist to shape the future of our marketplace ...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

Deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically
Fluent in Python, SQL, and modern data/ML tooling
Experience bringing ML models into production and measuring their long-term business impact
Skilled at translating complex technical findings into actionable business insights
Collaborative leader who mentors peers and sets high standards for analytical rigor and impact
7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity

Job Responsibility

Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
Define best practices and standards for experimentation, modelling, and analytical excellence across teams
Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities
Develop and deploy scalable models and data products that drive measurable business outcomes
Mentor and coach other data scientists and analysts, helping them deliver higher-impact work
Communicate insights and recommendations to senior leadership, influencing product and growth strategy
Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale

Fulltime

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris, Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Product Strategy : Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Product Management & ownership: Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Product evangelisation : Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff Data Scientist, Growth

Build innovative, data-driven products that enhance patient engagement and reten...

Location

United States

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy
Build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist, Growth

Your North Star: Build innovative, data-driven products that enhance patient eng...

Location

United States , New York City

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist, Analytics (Product)

Airwallex

Location:
Singapore , Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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