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Data Science Manager Jobs in Remote, OR (NOW HIRING)

Partner with UA managers to analyze campaign data, identify growth drivers, and highlight ... experience in data science, data analytics, data modeling, experimentation * Advanced-level ...

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

Experience in product operations, backlog management, and agile delivery metrics. * Ability to translate business strategy into measurable outcomes and scalable dashboards. * Data science exposure ...

Coordinate with the Data Science department to identify future needs and requirements * Provide operational support for Management Information Systems (MIS) Qualifications 10+ years of Data Platform ...

Coordinate with the Data Science department to identify future needs and requirements * Provide operational support for Management Information Systems (MIS) Qualifications 10+ years of Data Platform ...

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ... Extensive knowledge of medical terminology, medical records, health information management, medical ...

Team Collaboration: • Work closely with cross-functional teams such as data scientists, project managers, and consultants to deliver cohesive client solutions. • Contribute to team-wide best ...

Head of AI

OR · On-site +1

Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders). * Knowledge of responsible AI, security, and ...

Head of AI

OR · On-site +1

Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders). * Knowledge of responsible AI, security, and ...

Facilitate account management skills (account planning, field resource coordination; close, support ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

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Data Science Manager information

See Remote, OR salary details

$31K

$97K

$171.8K

How much do data science manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data science manager in Remote, OR is $97,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,400.00 per year, depending on experience, location, and employer.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.
What are the most commonly searched types of Data Science jobs in Remote, OR? The most popular types of Data Science jobs in Remote, OR are:
What are popular job titles related to Data Science Manager jobs in Remote, OR? For Data Science Manager jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Remote, OR look for? The top searched job categories for Data Science Manager jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Science Manager jobs? Cities near Remote, OR with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Remote, OR as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $97,049 per year, or $46.7 per hour.

Data Scientist

Stillfront

Myrtle Point, OR

Full-time

Posted 19 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.