---
title: 'Data Scientist at Kochava'
canonical: 'https://feeny.ai/job/data-scientist-kochava-united-states-sk3k8chys17c'
type: 'job'
last_seen: '2026-09-08'
---

# Data Scientist at Kochava

- **Company:** Kochava
- **Location:** United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-10
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/kochava/17a2e105-f486-4c8c-8bc4-b3c2516bd004

## Job description

Kochava provides a unified platform with solutions for advertisers and publishers across the omni-channel advertising ecosystem to link media investments to outcomes.

Kochava is an industry leader in the advertising ecosystem, providing tools and technologies for leading brands, agencies, and premium publishers for measurement and attribution, media mix modeling (MMM), and search ads optimization.

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. Our suite of solutions are used as a growth stack for leading brands and publishers - empowering them to see and manage their data and unleash the power of their connected audiences.

We are looking for a talented and driven Data Scientist to join our team. In this role, you will be a significant and autonomous contributor, delivering end-to-end machine learning solutions and major analytical initiatives that directly drive business value. You will work across model development, experimental design, and data workflows — solving difficult data science problems with pragmatic, scalable solutions that make a real difference to the business.

Role Location: This role is ideally based near our headquarters in Sandpoint, Idaho. However, candidates based in the following states will also be considered: CA, CO, ID, GA, MT, NY, NJ, OR, TX, WA.

Job Responsibilities

- Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
- Apply a broad range of statistical methods and ML algorithms, using sound judgment on when — and when not — to use them.
- Write highly performant, well-documented, and reproducible code in Python and SQL.
- Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
- Make thoughtful trade-offs between model performance and interpretability, complexity and simplicity, and computational cost and accuracy.
- 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.
- Work to find and address root causes of model performance issues, leaving systems better than you found them.
- Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
- Automate manual reporting tasks and contribute to operational excellence across the team.
- Mentor junior data scientists and actively participate in the hiring and interview process.

## Experience/Skills Required

- 3+ years of hands-on Data Science experience. A formal degree is not required if you have equivalent knowledge gained from experience.
- Strong proficiency in Python for statistical programming and machine learning development.
- Expertise writing high-performance SQL queries and working with large-scale datasets.
- Solid understanding of a broad range of statistical methods and machine learning algorithms.
- 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.
- Experience working with data visualization tools and communicating analytical findings clearly to non-technical stakeholders.
- Strong sense of ownership — you document your work thoroughly, validate it rigorously, and ensure quality at every step.
- Collaborative mindset with the ability to work across teams, balance competing requirements, and influence peers constructively.

Bonus

- Experience with MLOps practices, model monitoring, or automated reporting pipelines.
- Familiarity with experimental design and A/B testing frameworks.
- Track record of improving team workflows, data documentation practices, or analytical infrastructure.
- Experience mentoring junior data scientists or contributing to onboarding and training programs.
- Experience classifying, storing, and handling data in accordance with data governance policies.
- Experience with distributed computing and big data technologies such as Apache Spark.
- Experience with data visualization tools such as Tableau.
- Experience working with cloud data warehouses such as Amazon Redshift or Google BigQuery.
- Experience working with high volume and high velocity data in a distributed environment.

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. Through the process of creating apps for customers from a wide range of industries, we were repeatedly asked if we could shed some light on what media advertising efforts were converting and the effectiveness of their mobile ad spend by partner. Realizing a solution to these questions wasn’t readily available, we started designing and building a mobile measurement platform that would become Kochava.

Kochava is an equal opportunity employer committed to building a team culture that celebrates diversity and inclusion.

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. We do not charge fees for applications, interviews, training, equipment, or background checks.

## About Kochava

## Company Overview
- **One-liner**: Kochava provides an omnichannel measurement and attribution platform that helps advertisers and publishers optimize marketing campaigns through real-time data and audience insights.
- **Entity Type**: Private (revenue-funded)
- **Headquarters**: Sandpoint, Idaho, United States
- **Founded**: 2011
- **Founders**: Not publicly available (CEO Charles F Manning is the current leader)

## Core Business
- **Primary industry**: Advertising technology (adtech) / Marketing analytics
- **Target customers**: B2B – advertisers, publishers, and platforms across gaming, fintech, media & entertainment, ecommerce, and other verticals
- **Mission statement**: "Empower advertisers and publishers to measure what matters to them across all their marketing channels."

## Products & Services
- **Kochava Marketers Operating System (MOS)**: A unified platform for mobile attribution, multi-touch measurement, campaign management, and audience activation. Supports omnichannel measurement including marketing mix modeling and privacy-first identity resolution.
- **Kochava Collective**: A data marketplace that enriches audience segments for targeting and measurement.
- **Solutions by vertical**: Tailored offerings for gaming, fintech, media & entertainment, ecommerce, and more.
- **Consulting & managed services**: Demo available; professional services for data analysis and campaign optimization.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue estimated at $22 M (source: CBInsights / company data); total funding not disclosed (appears revenue‑funded, no venture rounds reported)
- **Notable Investors / Partners**: Partners include major platforms (Google, Facebook, Apple, Amazon, Snowflake, etc.); no disclosed institutional investors
- **Growth Signals**: 
  • Employee count – reported ranges vary: 133 (LinkedIn, -6.6% YoY) vs 169 (Built In) → indicates recent contraction or discrepancy in counting
  • Acquisitions: DigiCenter (2021), InferSystems (2015), Thalamus, and entities in Spain/Ireland
  • Legal context: FTC lawsuit filed in 2022 over data‑selling practices; ongoing litigation may impact business model

## Competitive Advantages
- **First‑mover in mobile attribution** – Founded in 2011, strong brand in the adtech ecosystem
- **Full‑stack platform** – Combines attribution, measurement, audience data, and campaign management in one system
- **Privacy‑first approach** – Emphasic on CCPA comliance and identity solutions without deterministic IDs
- **Large data Collective** – Proprietary data asset (Kochava Collective) for enrichng audience segments
- **Global footprint** – Offices in 8 countres including US, UK, Japan, Spain, South Korea, Singapore, India

## Strategic Focus
- **Navigating regulatory landscape** – Addressng FTC litigation and adapting to privacy regulations (e.g., deprecation of mobile ad IDs)
- **Expanding measurement capabilities** – Adding marketing mix modeling and cross‑channel attribution
- **Deepening vertical solutions** – Tailored products for gaming, fintech, etc.
- **Talent recruitng** – Actively hiring for Data Scentist and Client Relationship Manager roles (as of Sept 2025)

## Why Work Here
- **Compension & benefits**: Offers company equity, generous PTO, paid holidays, paid sick days, dental/health/vision insurance, parental leave, company‑sponsored outings
- **Work environment**: On‑site focused at Sandpoint HQ (Idaho) and Portland office; some remote roles available (e.g., Sales Director in New York)
- **Enginering culture**: Tech stack includes Python, Java, Kubernetes, Snowflake, Apache Spark, and microservices; strong data engineering and ML ops focus
- **Career considerations**: Employee rating 3.3/5.0 (70 reviews) – culture 3.5, work‑life 3.5, compensation 3.0, career 2.9; recent headcount decline may indicate instability, but company is still active in hiring
- **Notable perks**: Equity grants, generous parental leave, health insurance, wellness outings

## Sources
1. [linkedin.com](https://www.linkedin.com/company/kochava)
2. [cbinsights.com](https://www.cbinsights.com/company/kochava)
3. [builtin.com](https://builtin.com/company/kochava)
4. [en.wikipdia.org](https://en.wikipdia.org/iki/kochava)
5. [jobs.lever.co](https://jobs.lever.co/kochava)

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