Senior Data Scientist, Algorithm

Senior Data Scientist

We’re looking for a Senior Data Scientist to lead the evolution of our scoring a...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Job Responsibility

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
Measure and improve score accuracy, stability, and interpretability
Work with engineers to deploy and monitor models in production environments
Partner with PMs and designers to define success metrics and measure product outcomes
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
Build reusable datasets, dashboards, and frameworks for self-serve analytics
Establish best practices for experimentation and data-driven decision making across squads
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)

What we offer

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Senior Software Engineer

Boosted.ai is seeking a highly motivated and results-driven Senior Software Engi...

Location

Canada; United States

Salary:

Not provided

Boosted.ai

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field
3+ years of professional programming experience, with a strong focus on Python
Solid understanding of data structures, algorithms, and their applications
Experience building and optimizing distributed, scalable systems and high-performance applications
Proficiency in working with large-scale datasets and implementing solutions for efficient data processing
Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment
Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment

Job Responsibility

Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges
Work with large datasets, ensuring efficient processing, manipulation, and analysis
Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems
Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team
Continuously evaluate and integrate emerging technologies to improve system performance and scalability
Maintain a strong focus on writing clean, maintainable, and efficient code while adhering to best practices and coding standards

What we offer

Flexible (Unlimited) Paid Time Off
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Access to a 401(k) retirement savings plan (for U.S. employees)
Paid Parental Leave
Free access to use Boosted.ai Alfa™ to make money

Fulltime

Senior Data Scientist

As a Senior Data Scientist llI, you will leverage your advanced analytical skill...

Location

United States , Raleigh

Salary:

Not provided

Beacon Hill

Expiration Date

Until further notice

Requirements

Must be in EST or CST
3+ years of data scientist experience (working with different LLM tools, RAG implementations/evaluations, etc)
Strong Python programming skills
Experience/exposure maintaining production support alongside a team of Software Engineers

Job Responsibility

Leverage advanced analytical skills to extract insights from complex datasets
Drive data-driven decision-making and contribute to the development of innovative solutions
Collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis
Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
Possess knowledge and skills in a senior data scientist position
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
Experience with coding skills in Python or another programming language
Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Chicago

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Familiarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Minneapolis

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Columbia, MD

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

New

We’re seeking a Senior Data Scientist to partner closely with the Growth and Mar...

Location

Australia , Melbourne

Salary:

200000.00 - 250000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

5+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in machine learning modeling to drive data driven growth strategy
Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines)
Expert in data querying languages (e.g. SQL)
Expert in scripting languages (e.g. Python)
Experience in schema design and dimensional data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Develop predictive models to identify high-value users for Marketing and Commercial teams
Apply machine learning and/or statistical models to measure causal impact of marketing initiatives
Develop personalization solutions to drive the client onboarding efficiencies, optimize the referral incentive impacts and also the product cross-selling
Develop the churn models to drive the growth retention strategy
Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

What we offer

Equity
Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

New

Senior Data Scientist, Algorithm

We’re seeking a Senior Data Scientist to partner closely with the Growth and Mar...

Location

Canada , Toronto

Salary:

200000.00 - 250000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

5+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in machine learning modeling to drive data driven growth strategy
Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines)
Expert in data querying languages (e.g. SQL)
Expert in scripting languages (e.g. Python)
Experience in schema design and dimensional data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Develop predictive models to identify high-value users for Marketing and Commercial teams
Apply machine learning and/or statistical models to measure causal impact of marketing initiatives
Develop personalization solutions to drive the client onboarding efficiencies, optimize the referral incentive impacts and also the product cross-selling
Develop the churn models to drive the growth retention strategy
Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

What we offer

Offers Equity
Offers Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Senior Data Scientist, Algorithm - Growth

Airwallex

Location:
United States , San Francisco

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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