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Data Scientist Forecasting Weekend Jobs in Portland, OR

Learnkwik.com

Data Science Training

Portland, OR · On-site

Every training session is recorded and posted to the batch after each weekend class. We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for ...

Learnkwik.com

Data Science Training

Portland, OR · On-site

... after each weekend class. • We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

This role leverages AI to enhance quality, reliability, maintenance, forecasting, production ... Computer science, Data Science, Engineering, Operations Research, Industrial Engineering, Applied ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... forecasting, and decision support across the business • Build and maintain machine learning ... Required : • Bachelor's degree in computer science, engineering, data science, mathematics, or a ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

This role leverages AI to enhance quality, reliability, maintenance, forecasting, production ... Computer science, Data Science, Engineering, Operations Research, Industrial Engineering, Applied ...

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Weekend JobsData Scientist Forecasting Weekend Jobs in Portland, OR

Data Scientist Forecasting Weekend information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do data scientist forecasting weekend jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data scientist forecasting weekend in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a data scientist forecasting weekend?

Data Scientist Forecasting Weekend roles involve using statistical methods and machine learning techniques to predict trends, demands, or behaviors specifically for weekend periods. These professionals analyze large datasets to identify patterns that occur on weekends, such as sales fluctuations, customer activity, or resource needs. Their insights help businesses optimize staffing, inventory, and operations for better efficiency and profitability during weekends. Typically, they work with tools like Python, R, SQL, and specialized forecasting software. The role may require working weekends or providing analyses that inform weekend business strategies.

What are some common challenges data scientists specializing in forecasting face when working weekend shifts?

Data Scientists focused on forecasting during weekend shifts often encounter unique challenges such as limited access to key stakeholders for immediate clarifications, handling real-time data anomalies without full team support, and ensuring that time-sensitive predictions are delivered accurately under tight deadlines. Additionally, maintaining effective communication with cross-functional teams who may not be working at the same time can require proactive planning and thorough documentation. However, weekend shifts may also offer quieter work periods for deep analysis and model refinement, allowing for focused progress on complex forecasting tasks.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting on weekends, and why are they important?

To thrive as a Data Scientist in Forecasting, you need expertise in statistical modeling, time series analysis, and a strong background in mathematics or computer science, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as scikit-learn or TensorFlow), and proficiency in data visualization tools are crucial. Analytical thinking, problem-solving, and effective communication are important soft skills to interpret data and present actionable insights to stakeholders. These skills ensure accurate predictions, drive data-driven decisions, and support organizational goals in dynamic business environments.

What is the difference between Data Scientist Forecasting Weekend vs Data Analyst Forecasting Weekend?

AspectData Scientist Forecasting WeekendData Analyst Forecasting Weekend
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; focus on data interpretation and reporting
Work EnvironmentCollaborative teams, often in tech or finance industries, working on predictive modelsBusiness units, focusing on data reporting, visualization, and basic analysis
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, marketing, healthcare, and finance sectors

Data Scientist Forecasting Weekend roles typically require advanced statistical and machine learning skills, working on predictive models. Data Analyst Forecasting Weekend positions focus on data interpretation, reporting, and visualization. Both roles involve forecasting but differ in complexity and technical depth.

What are the most commonly searched types of Data Scientist Forecasting jobs in Portland, OR?

The most popular types of Data Scientist Forecasting jobs in Portland, OR are:

Data Scientist Forecasting Weekend jobs near you

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary
The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data, analytics, SAP S/4HANA transformation, and AI-enabled operating model. This role is accountable for building the data foundation that enables trusted insight, intelligent decision-making, and scalable automation across the business.
This position goes beyond traditional analytics leadership. It connects business strategy, enterprise systems, and data architecture to create measurable advantage across merchandising, DTC, wholesale, supply chain, finance, and global operations. The Senior Director will partner closely with business and technology leaders to translate KEEN's transformation priorities into scalable data capabilities, modern analytics, AI readiness, and actionable decision support.
Success in this role requires deep SAP S/4HANA and data leadership experience, strong business acumen, and the ability to build the data foundation needed for an AI-enabled enterprise.
Essential Functions
Description
  • Lead data and analytics readiness for the SAP S/4HANA program, ensuring master data, KPI definitions, reporting needs, and enterprise data structures support future-state business processes.
  • Define and communicate a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-range planning.
  • Lead enterprise data architecture and platform direction, ensuring scalability, governance, reliability, and future AI enablement.
  • Develop and lead KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Identify and prioritize high-impact analytics and AI opportunities across merchandising, DTC, wholesale, supply chain, and finance to deliver measurable business outcomes.
  • Establish enterprise data governance standards, KPI harmonization, and decision rights to improve trust, consistency, and usability of information.
  • Build and develop a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
  • Serve as a trusted advisor to executive leadership and communicate progress through business impact metrics, adoption, and value delivered.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.
Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
  • Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
  • Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
  • Minimum of five (5) years leading enterprise-scale data or analytics teams.
  • Strong SAP S/4HANA background required, including experience supporting enterprise process transformation and data readiness required.
  • Strong retail, consumer goods, footwear, apparel, or omnichannel commerce experience required.
  • Demonstrated success applying data, analytics, and enterprise systems to improve revenue growth, margin, inventory optimization, demand forecasting, customer engagement, or operational efficiency required.
  • Experience leading AI readiness or advanced analytics initiatives preferred.
  • Experience operating in federated or hub-and-spoke environments preferred.

Any equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.
Knowledge, Skills, and Abilities
Strategic & Industry Expertise
  • Deep understanding of retail / consumer operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics, SAP S/4HANA Embedded analytics, and AI initiatives directly to business KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand operating nuances and market dynamics.
  • Visionary mindset with the ability to articulate a practical enterprise transformation roadmap.

Technology & Architecture Leadership
  • Strong knowledge of SAP S/4HANA and how ERP design impacts data, reporting, and decision-making.
  • Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
  • Experience building governed semantic layers and standardized KPI frameworks.
  • Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
  • Ability to build the data foundation required for scalable AI use cases.

Leadership & Organizational Impact
  • Proven ability to influence executives and senior business leaders.
  • Strong change management and communication skills.
  • Experience building and scaling enterprise capability functions and cross-functional teams.
  • Ability to unify technical and business stakeholders around shared goals.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required: Yes, 5% of the time.
Base Salary: $217,600.00 - $229,615.00
The salary range posted for this position represents the anticipated hiring range for this role. Offers are made within this range based on factors such as relevant experience, skills, education, internal equity, and market considerations. This is the hiring range for the position; compensation above the posted maximum is not typically available at the time of offer.
Work Location: Hybrid
This role is based in the Portland, OR area and follows a hybrid work model. Employees are expected to reside within a reasonable commuting distance of our Portland office and generally work on-site four days per week, with flexibility based on business and team needs.
Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that's on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protectthe places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place.
At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples.
Fuerst Group, KEEN, and Chrome are equal opportunity employers. We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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