Top 2 Lead data scientist Jobs in Portland, Or

Lead Process Analyst
Nike —Beaverton, OR
- Remote
- Computer Science
- 5 years
- Analysis skills
5d
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —Portland, OR
- $102,500 - $188,900 a year
- Full-time
- Azure
- Computer Science
- Office
9d

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US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —Portland, OR
4+ years of experience in data science, machine learning engineering, data engineering, or software engineering.
$102,500 - $188,900 a year
9d
Senior Financial Analyst - Liquidity Risk & Funds Management
First Technology Federal Credit Union —Hillsboro, OR
Proficiency with advanced modeling, analytics, or reporting tools; ability to improve or develop new methods. Execute brokered CD issuances, FHLB advances, and…
$104,000 - $120,000 a year
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4d

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Lead Process Analyst

Nike -
Beaverton, OR

Apply Now

Job Details

5 days ago

Qualifications

Jira
Application Integration
Cognos
Manhattan Associates
SAP
Bachelor's degree
Splunk
Agile software development
Defect tracking tools
Agile planning
Data analysis software

Full Job Description

Position Type

Career area

Program, Product & Project Management

Location

1 Bowerman Drive, Beaverton, Oregon 97005, United States

Job ID

R-88191

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?

Lead Process Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns; generate reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts; integrate data from multiple sources to produce requested or required data elements; program and maintains report forms and formats, information dashboards, data generators, and other end-user information portals or resources; work with non-routine information and develops recommendations for ideas or services; develop and manage operational initiatives to deliver tactical results; provide direction and mentorship to teammates and communicate clearly to a broad audience; solve problems using limited information and implements solutions with the ability to foresee most future implications; take initiative to improve upon existing processes; advise others on complex matters using skills to understand complex work, such as in-depth knowledge or conceptual thinking; responsible for using predictive and prescriptive analytics to forecast consumer demand; develop new algorithms and improve existing approaches based on statistical Veconometric methods, machine learning techniques and solutions to forecast consumer demand and determine efficient level of investment in various stages of the supply chain; assess business requirements and constraints to make tradeoff recommendations between speed and accuracy of alternative solution approaches; identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources; facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria; support the adoption of analytic products through effective storytelling and collaboration with key partners; and share knowledge with others on the team; and continue to adapt or develop new methods and learn new software packages as available in the literature and recent publications. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Employer will accept a Bachelor’s degree in Computer Science, Supply Chain Management, Computer Engineering and five (5) years of progressive post-baccalaureate experience in the job offered or in an analysis-related occupation. Experience must include:

Position requires:

Manhattan WMS

JIRA

Splunk

Agile methodologies

Microfocus ALM

Cognos

SAP Cloud Integration

Apply at www.Nike.com/Careers (Job # R-88191 )

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

Apply Now

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lead data scientist jobs in portland, or

Lead Process Analyst

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

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OUR HIRING GAME PLAN

01 Apply

02 Meet a Recruiter or Take an Assessment

03 Interview

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