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Data Analytics Computer Science Jobs in Oregon (NOW HIRING)

Columbia

Principal Data Scientist

Portland, OR · On-site

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from ...

loanDepot

... Computer Science, or a related discipline; and/or a minimum of six (6) + years of progressive ... in data analytics, risk, audit, or compliance testing. * Experience in the mortgage industry ...

loanDepot

... Computer Science, or a related discipline; and/or a minimum of six (6) + years of progressive ... in data analytics, risk, audit, or compliance testing. * Experience in the mortgage industry ...

Netflix

OR

$372K - $600K/yr

Guide Evals for internal agentic tools (e.g., data analytics, experimentation) Who Will Succeed in This Role: Ph.D. in Data Science, Computer Science, Statistics, Cognitive Science, or a related ...

CookUnity

OR · On-site

This role goes beyond traditional analytics-you'll be responsible for building the ML and ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Smarsh

OR · On-site

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field. * 8+ years of experience supporting data analytics, reporting ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Oregon

Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Oregon are hiring for Data Analytics Computer Science jobs? Cities in Oregon with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you
Principal Data Scientist

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

17th of 102 rated fashion retailers

Job description

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.
At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.
Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.
We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.
And we believe in you.
ABOUT THE POSITION
Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear's Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.
The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.
HOW YOU'LL MAKE A DIFFERENCE
  • Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
  • Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
  • Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
  • Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
  • Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projects
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows
  • Translate analytical findings and statistical models into measures of business impact and actionable recommendations
  • Drive best practices in applying and deploying Data Science at scale

YOU ARE
  • Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
  • Solid time-management skills and able to work on multiple tasks or projects concurrently
  • Extremely organized, detail-oriented, resourceful and flexible
  • Strong interpersonal, written, communication and relationship-building skills
  • Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
  • A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.

YOU HAVE
  • Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
  • Minimum 3 years of experience as a Data Scientist, Statistician or related position
  • Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
  • Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
  • Broad understanding of core statistical and ML techniques
  • Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
  • Proficient in the use of visualization tools, Power BI preferred
  • Experience with Microsoft Stack preferred

#LI-JD1
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter.
At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available.
If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.

What Columbia Sportswear employees say

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

Social media

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