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Manager Reddit Data Science Jobs in Spokane, WA (NOW HIRING)

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

FocusKPI

Marketing Operations Analyst

Spokane, WA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Spokane, WA

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Kaiser Aluminium

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Ability to manage multiple tasks simultaneously. PREFERRED SKILLS * Experience in metal rolling ...

Corporate Tools

Senior PPC Specialist

Post Falls, ID · On-site +1

$120K/yr

Our ideal candidate will need to be half statistician, half mad scientist and 100 percent ... At Corporate Tools, we manage and launch a wide number of PPC campaigns (some national, some local ...

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All JobsReddit Data Science JobsManager Reddit Data Science JobsManager Reddit Data Science Jobs in Spokane, WA

Manager Reddit Data Science information

See Spokane, WA salary details

$31.3K

$98.2K

$173.9K

How much do manager reddit data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager reddit data science in Spokane, WA is $98,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $126,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.

How does a manager Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.

What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?

AspectManager Reddit Data ScienceData Scientist Reddit
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageTech companies, online platforms, social media firmsTech, finance, healthcare, research organizations

The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.

What does a manager Reddit Data Science do?

A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.
What are the most commonly searched types of Reddit Data Science jobs in Spokane, WA? The most popular types of Reddit Data Science jobs in Spokane, WA are:
Manager Reddit Data Science jobs near you
Infographic showing various Manager Reddit Data Science job openings in Spokane, WA as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $98,225 per year, or $47.2 per hour.

DIA Maching Lrng Eng

Ford Motor Company

Spokane Valley, WA • On-site

Full-time

Medical, Dental, Life, PTO

Re-posted 4 days ago

Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

  • Bachelor's degree in computer science, mathematics, statistics, operations research, or related field 

  • Experience with the complete software lifecycle

  • 1+ years of experience with delivering and maintaining production software products

  • Strong technical writing and oral communication skills

  • Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

  • Experience in productionizing generative AI to solve critical business problems

  • Preferred Qualifications

  • Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

    • OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science 

    • OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

  • Experience with cloud-based deployments and best practices

  • Demonstrated contributions and expertise in one or more of the following AI domains:

    • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

    • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

    • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

    • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-SG8

  • Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

  • Apply AI and Machine Learning technology to solve complex, real-world problems

  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

  • Fulfill problem formulation and ML technique consulting requests in a timely manner

  • Communicate and present analytical models to business customers and executive management

  • Work collaboratively with different business partners and be able to present results in a clear and concise manner

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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