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Senior Data Scientist
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingMine massive data sets to uncover fraud patterns and prevention opportunities
Develop and productionize large-scale ML, DL, and AI models for fraud prevention
Design and maintain end-to-end ML pipelines from ingestion to production monitoring
Translate business and product needs into explainable, high-impact solutions
Track AI and ML research and test new tools for Protect360's algorithms
From the employer’s posting
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360’s algorithms.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202621 days ago
- Recorded sightings
- 27
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
AppsFlyer is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- 33% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- BigQuery
- Kafka
- Spark
- Airflow
- PyTorch
- TensorFlow
Where the posting names them
We’re looking for a data scientist to join our team and further improve fraud detection capabilities. This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats. A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more What you'll do
- Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models - Strong programming skills in Python and proficiency in SQL. - Solid understanding of data pipelines, MLOps practices, and working with huge datasets.
Your next step
Complete your application on careers.appsflyer.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics.
We run at a massive scale- t any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale.
Fueled by the AppsFlyer platform, Protect360 is the leading anti-fraud solution in the market, protecting advertisers from fraudulent traffic and saving millions of dollars for our customers.
We detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using machine learning, deep learning, and advanced AI techniques applied on massive data streams.
We’re looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.
A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more
What you'll do
- Mine massive data sets to uncover fraud patterns and prevention opportunities.
- Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
- Translate business and product needs into scientific, explainable, and high-impact solutions.
- Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
- Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
- Stay current with AI and ML research and evaluate new technologies to strengthen Protect360’s algorithms.
What you have
- M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field
- 5+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments.
- Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models
- Strong programming skills in Python and proficiency in SQL.
- Solid understanding of data pipelines, MLOps practices, and working with huge datasets.
- Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences.
- A fast learner, problem solver, and end-to-end owner with a strong “can-do” approach.
Bonus Points
- Experience in the ad-tech industry or with fraud detection systems.
- Familiarity with LLMs, generative AI, or representation learning for anomaly detection.
- Proven track record working with large-scale distributed data systems.
- Being introduced by an AppsFlyer employee
As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.
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