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Data Modeler Jobs in Remote, OR (NOW HIRING)

Stillfront

Data Scientist

Myrtle Point, OR

As a Data Scientist in our Mobile Gaming Marketing team, you will power data-driven UA and growth ... You'll own and improve our pLTV and forecasting models, support A/B testing and ad-hoc insights ...

Kynite

Enterprise Data Architect

OR

Design conceptual and logical data models and flowcharts * Improve system performance by conducting tests, troubleshooting and integrating new elements * Optimize new and current database systems

Kynite

Enterprise Data Architect

OR · On-site +1

Design conceptual and logical data models and flowcharts * Improve system performance by conducting tests, troubleshooting and integrating new elements * Optimize new and current database systems

Lumen Technologies

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

Build predictive models and apply data science techniques - including regression, clustering, and time-series analysis - to support funnel analysis, ARPU forecasting, churn prediction, and ...

SOSi

Data Scientist

Myrtle Point, OR

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

SOSi

Data Scientist

OR · On-site +1

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

SOSi

Data Scientist

OR · On-site

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

SOSi

Senior Data Scientist

OR · On-site

The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ...

SOSi

Senior Data Scientist

Myrtle Point, OR · On-site

The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ...

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ...

Atos

Data & AI Technical Advisor - Google Cloud

OR · Remote

... models, BigQuery and Agentspace, into client solutions. You will directly influence Atos' Data & AI strategy across North America, accelerate market penetration, and drive growth and revenue by ...

Expion Health

Reporting & Analytics Lead

OR · On-site +1

$140K - $155K/yr

Oversee the development of data models, pipelines, and BI solutions on Snowflake, dbt, and AWS data services - ensuring everything is accurate, consistent, and built to last. * Drive self-service.

Expion Health

Reporting & Analytics Lead

Myrtle Point, OR · Remote

$140K - $155K/yr

Oversee the development of data models, pipelines, and BI solutions on Snowflake, dbt, and AWS data services - ensuring everything is accurate, consistent, and built to last. * Drive self-service.

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Data Modeler information

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How much do data modeler jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for data modeler in Remote, OR is $58.65, according to ZipRecruiter salary data. Most workers in this role earn between $52.60 and $68.22 per hour, depending on experience, location, and employer.

What Is the Job of a Data Modeler?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the key skills and qualifications needed to thrive as a Data Modeler, and why are they important?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges Data Modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are Data Modelers?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What are the 4 types of data models?

Data modelers typically work with four main types of data models: conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail the data organization without physical considerations, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Understanding these types helps data modelers design efficient and accurate database systems.

What jobs pay $3,000 a day?

High-paying roles such as senior data modelers, data architects, and specialized consultants can earn around $3,000 per day, especially with extensive experience, advanced certifications, and working in consulting or contract positions. These roles often require strong technical skills in data modeling, database design, and relevant tools like ERwin or PowerDesigner, and may involve project-based or freelance work with flexible schedules.
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Data Scientist

Stillfront

Myrtle Point, OR

Full-time

Posted 25 days ago

Job description


As a Data Scientist in our Mobile Gaming Marketing team, you will power data-driven UA and growth through analytics, predictive modeling, and automation. You’ll own and improve our pLTV and forecasting models, support A/B testing and ad-hoc insights, and help build tools that streamline bidding, budgeting, and reporting. Working closely with UA, Product, and Data teams, you’ll ensure data quality and turn complex results into clear insights that guide fast, smart decisions.

YOUR MISSION

  • Performance Analysis: Partner with UA managers to analyze campaign data, identify growth drivers, and highlight optimization opportunities

  • Forecasting: Evaluate user behavior, channel performance, ad fraud, and organic uplift to improve creative, targeting, and channel strategies

  • Automation: Build tools (e.g., Python scripts, dashboards) to automate creative testing, real-time budget/bid adjustments, and reporting workflows

  • pLTV Modeling: Own and refine predicted LTV models, ensuring accurate integration and validation with internal/external partners

  • Data Quality: Maintain reliable data pipelines, ensure accuracy across teams, and proactively resolve data issues

  • Insights & Visualization: Create clear dashboards and reports that communicate model results, test findings, and recommendations to stakeholders


YOUR BACKSTORY

  • 2-5 years of professional experience in data science, data analytics, data modeling, experimentation

  • Advanced-level proficiency in Python and SQL.

  • Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering, Data, and Game teams

  • Familiarity with big data tools and cloud computing platforms (e.g., GCP, AWS)

  • Relevant experience with advertising technology and solutions is a plus

Stillfront is a global gaming company. We develop a wide range of digital games that attract millions of players each month. From well-established franchises like Supremacy, BIG, and Jawaker to niche games, we span multiple genres, including strategy, simulation, RPG, action, and casual and mash-up games.

We believe gaming can be a force for good, and we want to create a gaming universe that is digital, affordable, equal, and sustainable. To achieve this, we focus on developing games that are all about having a rewarding hobby, a great social experience, or a strategic challenge.

Stillfront was founded in 2010, and since then, we’ve grown rapidly. Our professionals thrive in an organization that embodies the spirit of entrepreneurship, and we’re proud to connect and empower game teams around the world.

Our HQ is in Stockholm, Sweden, but our game development is done by teams and studios all over the world. Our main markets are the US, Japan, MENA, Germany, and the UK. We’re proud that our company shares are listed on the Nasdaq Stockholm Large Cap.