Kochava

Data Scientist

Sandpoint, ID · Junior

Sponsorship not specifiedDetected 42 days ago

PythonAlgorithmsSQLRedshiftMachine LearningData ScienceData VisualizationMLOpsA/B TestingExperimental DesignMentoring

About the role

We enable the visibility into and management of trillions of data points, hundreds of millions of users, and billions of dollars in lifetime value (LTV) and paid ad spend.
Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better understand the feedback loop of user acquisition, engagement, and LTV for mobile applications.
Please be advised that Kochava will never ask candidates to pay any fees or provide sensitive financial information at any point during the recruitment or onboarding process.

Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability.
Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment performance evaluations.
Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
Demonstrated ability to independently deliver end-to-end model development - from problem definition through production deployment.
Ability to build solutions that are pragmatic, consider business constraints, and can be maintained and extended by others.
Strong sense of ownership - you document your work thoroughly, validate it rigorously, and ensure quality at every step.
Familiarity with experimental design and A/B testing frameworks.

A formal degree is not required if you have equivalent knowledge gained from experience.
Experience with MLOps practices, model monitoring, or automated reporting pipelines.
Experience with distributed computing and big data technologies such as Apache Spark.
Experience with data visualization tools such as Tableau.

Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
Strong proficiency in Python for statistical programming and machine learning development.
Solid understanding of a broad range of statistical methods and machine learning algorithms.

This listing is sourced directly from Kochava's careers page and normalized into a canonical job model.