ZipRecruiter

Log In

2

Remote Reddit Data Science Jobs in Seattle, WA (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

iSpot

Principal Software Development Engineer

Bellevue, WA · On-site +1

$163K - $212K/yr

You will collaborate closely with engineering, data science, product, and leadership teams to ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

previous page

Showing results 41-60

All JobsReddit Data Science JobsRemote Reddit Data Science JobsRemote Reddit Data Science Jobs in Seattle, WA

Remote Reddit Data Science information

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What skills and qualifications are needed to thrive as a remote Reddit data scientist?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit data science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

What does a remote Reddit data scientist do?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.
What are the most commonly searched types of Reddit Data Science jobs in Seattle, WA? The most popular types of Reddit Data Science jobs in Seattle, WA are:
What are popular job titles related to Remote Reddit Data Science jobs in Seattle, WA? For Remote Reddit Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Reddit Data Science jobs in Seattle, WA look for? The top searched job categories for Remote Reddit Data Science jobs in Seattle, WA are:
Remote Reddit Data Science jobs near you
Infographic showing various Remote Reddit Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

ML Scientist (Pricing Reinforcement Learning) | REMOTE |

TriOptus LLC

Bellevue, WA • On-site, Remote

Contractor

Re-posted 8 days ago

Job description

100% telecommute
Description: We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Responsibilities:
  • Algorithm Development - Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
  • Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challenges
  • AI Agents for Pricing - Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
  • Rapid ML Prototyping - Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
  • Feature Engineering - Engineer large-scale consumer behavioural feature stores to support ML models ensuring scalability and performance
  • CrossFunctional Collaboration - Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
  • Controlled Experiments - Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models

Qualifications:
  • 8 years in machine learning
  • 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
  • Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
  • Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
  • Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
  • Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
  • Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
  • 5+ Yrs Expereince in Pricing Reinforcement Learning
  • 8+ Yrs Experience in Machine Learning
  • Expert in Python & Tabular Data
  • SQL
  • Knowledge of AB Testing

Required Skills : Machine Learning
Basic Qualification :
Additional Skills : ML Developer
Background Check : No
Drug Screen : No

Apply