Propensity modeling jobs

Practice Architect

Google · Posted Nov 10, 2026

Open

Sunnyvale, California, United States +3 more
On-site
Full-time · Senior
$224K–$311K per year
15+ years

Practice Architect

Google · Posted Nov 10, 2026

Open

Sunnyvale, California, United States +3 more
On-site
Full-time · Senior
$224K–$311K per year
15+ years

Solutions Consultant

MoEngage · Posted Jul 14, 2026

Open

Sydney, New South Wales, Australia
3–6 years

Apply with RefersoAI Apply on careers page

Responsibilities

Partner with Account Executives through the full sales cycle: discovery, solutioning, demos, proof of concepts, RFP responses, and handoff to the implementation team
Run structured discovery conversations that uncover the business value a prospect has not yet articulated for themselves, in their data, workflows, or current tech stack, and build that into a clear value case
Design and deliver product demonstrations that walk a prospect from that value case straight into the platform mechanics that deliver it, showing exactly how MoEngage's core capabilities and AI decisioning engine get them there
Lead technical validations and proof of concepts that prove out the value case with the prospect's own data, working with engineering and solutions architecture where needed
Write clear, accurate responses to RFPs and RFIs, including technical architecture and integration questions

Skills

value selling APIs SDKs webhooks REST SFTP

Manager, Data Science

Questrade Financial Group · Posted Nov 5, 2026

Open

North York, Ontario, Canada
Hybrid
Full-time · Manager
CA$140K–CA$180K per year
7+ years

Apply with RefersoAI Apply on careers page

The Manager, Data Science leads the vision and technical execution of data science and marketing science across Marketing and Product. This is a hands-on technical role spearheading marketing measurement strategy, predictive growth models, and mentoring a team.

Compensation

Base salary range: $140,000 - $180,000

Responsibilities

Define and drive the data science and marketing science vision for Marketing and Product, establishing high technical standards.
Own the end-to-end marketing measurement framework, unifying media mix modeling (MMM), incrementality/geo testing, and multi-touch attribution.
Architect, build, and deploy high-impact predictive models—including client lifetime value (LTV), cross-sell/upsell propensity, and churn/retention.
Hold all data science products to strict production criteria: ensuring business value is sized upfront and models are validated.
Maintain an active hands-on engineering presence by writing, debugging, and reviewing production Python, SQL, and dbt models.

Requirements

Bachelor’s degree in Data Science
Statistics
Mathematics
Computer Science
Economics

Skills

Python SQL media mix modeling (MMM)

Product Data Scientist

Solvd · Posted Nov 5, 2026

Open

Argentina
3+ years

Apply with RefersoAI Apply on careers page

Partner closely with Credit Cards and Banking product teams to shape product strategy and drive growth through rigorous analysis, experimentation, and applied machine learning.

Responsibilities

Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey.
Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers.
Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends.
Translate ambiguous business questions into clear analytical approaches and actionable recommendations.
Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement.

Requirements

Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.

Skills

SQL Python Databricks A/B testing statistical analysis

Data Scientist

Endava UK Ltd. · Posted Nov 3, 2026

Open

Córdoba, Cordoba, Argentina
Hybrid
Full-time · Senior
4+ years

Apply with RefersoAI Apply on careers page

Design, build and validate machine learning models behind personalization features in a new mobile trading app, working within compliance guidelines.

Compensation

Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus

Responsibilities

Build similar-symbol models (clustering / co-occurrence) on aggregate trading data, including minimum-activity thresholds
Develop propensity models that score customers’ likelihood to adopt new products, from day one of the customer lifecycle
Explore models linking significant price moves to news events
Define features, training data and evaluation metrics; validate models and set score thresholds
Analyze content and in-app engagement data to identify drop-off and high-performing content

Requirements

Nice to have: Brokerage
Nice to have: trading
Nice to have: financial services
Nice to have: options
Nice to have: equities markets

Skills

Python SQL scikit-learn XGBoost

Data Scientist

Endava UK Ltd. · Posted Nov 3, 2026

Open

Rosario, Santa Fe, Argentina
Hybrid
Full-time · Senior
4+ years

Apply with RefersoAI Apply on careers page

Design, build and validate machine learning models for personalization features in a mobile trading app.

Compensation

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;

Responsibilities

Build similar-symbol models (clustering / co-occurrence) on aggregate trading data, including minimum-activity thresholds
Develop propensity models that score customers’ likelihood to adopt new products, from day one of the customer lifecycle
Explore models linking significant price moves to news events
Define features, training data and evaluation metrics; validate models and set score thresholds
Analyze content and in-app engagement data to identify drop-off and high-performing content

Requirements

Nice to have: Brokerage experience
Nice to have: trading experience
Nice to have: financial services experience
Nice to have: knowledge of options and equities markets
Nice to have: product analytics data (e.g. Amplitude)

Skills

Python SQL scikit-learn XGBoost

Practice Architect

Practice Architect

Locations (4)

Compensation

Responsibilities

Requirements

Skills

Benefits

Solutions Consultant

Responsibilities

Skills

Manager, Data Science

Compensation

Responsibilities

Requirements

Skills

Product Data Scientist

Responsibilities

Requirements

Skills

Data Scientist

Compensation

Responsibilities

Requirements

Skills

Data Scientist

Compensation

Responsibilities

Requirements

Skills

Benefits

Benefits

Benefits