8 open jobs on The Stack list Anomaly detection as a key skill. They come from 5 companies in 2 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Anomaly detection in its key skills. We do not guess skills from the job title.
What you'll do: Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to…
What they ask for: Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to…
What you'll do: You will define and own fraud prevention strategies to safeguard the platform's integrity across ad impressions and monetization flows. This involves collaborating with data and engineering teams to build real-time detection mechanisms and…
What they ask for: The role requires 4+ years of product management experience, specifically within AdTech or ad monetization models. Candidates must possess a strong analytical mindset and experience in designing and measuring A/B tests for risk and fraud…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python and data processing technologies. Candidates should have experience with large datasets and the ability to collaborate effectively with…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python. Candidates should have experience with large datasets and the ability to collaborate effectively with engineering and risk teams.
What you'll do: You will design and analyze A/B experiments to optimize user funnels and reward mechanics across a massive data lake. Additionally, you will build automated dashboards and data pipelines to provide actionable insights for product and…
What they ask for: You must have 5+ years of experience as a Data Analyst with strong proficiency in SQL and Python. A deep understanding of statistical concepts, experimentation design, and anomaly detection is required for this role.
What you'll do: Lead the development and deployment of machine learning models to improve Receive product performance and mitigate fraud risk. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions…
What they ask for: Requires a proven track record in deploying end-to-end machine learning models and strong proficiency in Python. Candidates should have experience with large datasets, data processing technologies, and a solid understanding of fraud…
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The role requires strong proficiency in Python and SQL, with a proven track record of managing dbt at scale. You must possess excellent problem-solving skills and a community-oriented mindset to influence and support data practitioners.
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
