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Senior Reddit Data Science Jobs (NOW HIRING)

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA POSITION OVERVIEW The Senior Director of Data Science leads enterprise data science strategy ...

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA POSITION OVERVIEW The Senior Director of Data Science leads enterprise data science strategy ...

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Senior Reddit Data Science information

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$25K

$80.3K

$163.5K

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

As of Jun 20, 2026, the average yearly pay for senior reddit data science in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the average age of a senior data scientist?

The average age of a senior data scientist typically ranges from 30 to 40 years old, reflecting several years of experience in data analysis, machine learning, and programming skills. Many senior data scientists have advanced degrees and have spent around 5-10 years building expertise in the field.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, allowing them to focus on complex problem-solving and model development. While AI tools can augment their work, the need for skilled data scientists remains essential for interpreting results, designing algorithms, and ensuring ethical use of data. The role continues to evolve with a focus on advanced analytics, domain expertise, and programming skills in languages like Python or R.

What does a Senior Reddit Data Scientist do?

A Senior Reddit Data Scientist is responsible for analyzing large volumes of data generated by Reddit users to discover trends, improve user experience, and support the company's business objectives. They build and maintain data models, develop machine learning algorithms, and work closely with engineers and product teams to turn data insights into actionable strategies. Their work may focus on content recommendation, spam detection, user engagement, or advertising optimization. Additionally, they mentor junior data scientists and help shape the data science culture within Reddit.

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

AspectSenior Reddit Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentTech companies, social media platforms, research teams focusing on user behavior and content analysisBusiness, marketing, or operations teams analyzing data to inform decisions
Employer & Industry UsageUsed in social media, tech, and online communities to extract insights from user dataCommon across various industries for reporting and operational insights

Senior Reddit Data Science roles focus on advanced analytics, machine learning, and modeling to understand user behavior on Reddit. Data Analysts typically handle data collection, cleaning, and reporting to support business decisions. While both roles require strong analytical skills, Senior Reddit Data Scientists often have more technical expertise in algorithms and predictive modeling, whereas Data Analysts focus on descriptive analytics and visualization.

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

To thrive as a Senior Reddit Data Scientist, you need advanced statistical analysis, machine learning expertise, and strong programming skills in languages like Python or R, typically supported by a degree in computer science, statistics, or a related field. Experience with big data tools (such as Spark or Hadoop), SQL, and cloud platforms, as well as familiarity with experimentation frameworks and data visualization tools, is commonly required. Strong communication, problem-solving abilities, and cross-functional collaboration skills set top performers apart in this role. These skills are crucial for transforming complex data into actionable insights that drive business decisions and product improvements on Reddit's platform.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge through online courses, certifications, and practical projects.

How does a Senior Reddit Data Scientist typically collaborate with engineering and product teams to drive business impact?

As a Senior Reddit Data Scientist, you'll work closely with engineering and product teams by translating business goals into analytical projects, designing experiments, and sharing actionable insights. Collaboration often involves regular meetings to align on priorities, presenting findings in a clear and compelling way, and helping to define metrics for new features or user experiences. You may also mentor junior data scientists and contribute to best practices in data analysis, ensuring that data-driven decisions are integrated throughout the development process. This collaborative environment helps maximize the impact of your work on Reddit's growth and user engagement.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. For a Senior Reddit Data Science role, this often means focusing on the most impactful features or data segments to optimize model performance and insights efficiently.
What cities are hiring for Senior Reddit Data Science jobs? Cities with the most Senior Reddit Data Science job openings:
What are the most commonly searched types of Reddit Data Science jobs? The most popular types of Reddit Data Science jobs are:
What states have the most Senior Reddit Data Science jobs? States with the most job openings for Senior Reddit Data Science jobs include:
Senior Manager, Data Science

Senior Manager, Data Science

Walmart

San Mateo, CA

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,787 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that drive measurable business impact across Walmart. You will partner closely with product, engineering, operations, and business leaders to identify opportunities, develop data-driven strategies, and deploy scalable solutions that improve customer experiences, operational efficiency, and business performance.
You will serve as both a strategic thought partner and technical leader, translating complex business challenges into analytical frameworks and innovative solutions while developing high-performing teams.What you'll do...Senior Manager, Data ScienceWhat You'll DoLead High-Impact Data Science Initiatives
  • Define and execute the data science roadmap aligned to business priorities and organizational goals.
  • Partner with cross-functional stakeholders to identify opportunities where data, machine learning, and AI can create measurable value.
  • Translate ambiguous business challenges into structured analytical problems and actionable solutions.
  • Establish success metrics, quantify business impact, and communicate results to executive leadership.
  • Drive experimentation, measurement, and continuous improvement through test-and-learn frameworks.
Develop Advanced Analytics and Machine Learning Solutions
  • Lead the design, development, validation, and deployment of statistical, machine learning, and AI models at enterprise scale.
  • Guide teams in applying advanced techniques including predictive modeling, optimization, experimentation, forecasting, recommendation systems, natural language processing, and emerging AI technologies.
  • Oversee feature engineering, model selection, model evaluation, and production monitoring to ensure performance, reliability, and scalability.
  • Champion best practices in model governance, validation, explainability, and responsible AI.
Drive Technical Excellence
  • Establish standards for data science, model development, coding practices, experimentation, and deployment.
  • Ensure solutions are scalable, maintainable, and aligned with enterprise architecture and engineering standards.
  • Partner with engineering teams to operationalize machine learning solutions and enable continuous model improvement.
  • Stay current on industry trends and emerging technologies, identifying opportunities to leverage new capabilities across the organization.
Deliver Insights Through Data Storytelling
  • Translate complex analytical findings into compelling narratives tailored to technical and non-technical audiences.
  • Influence strategic decisions through clear communication, visualization, and executive-level presentations.
  • Enable stakeholders to make informed decisions by providing actionable insights and recommendations.
  • Foster a culture of data-driven decision-making across the business.
Build and Develop High-Performing Teams
  • Recruit, develop, and retain world-class data science talent.
  • Coach and mentor managers, senior data scientists, and emerging leaders.
  • Create an inclusive, collaborative team environment focused on innovation, growth, and continuous learning.
  • Establish clear performance expectations and support career development for team members.
Shape Data Strategy
  • Partner with business and technology leaders to define data requirements, governance practices, and long-term analytics strategies.
  • Advocate for data quality, accessibility, and responsible data management.
  • Identify opportunities to unlock business value through the effective use of data and advanced analytics.
  • Influence organizational priorities through strategic insights and thought leadership.
What You'll BringRequired Qualifications
  • Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Mathematics, or a related quantitative field, or equivalent practical experience.
  • 8+ years of experience in data science, machine learning, advanced analytics, or related disciplines.
  • 3+ years of people leadership experience managing and developing data science teams.
  • Expertise in statistical modeling, machine learning, experimentation, and large-scale analytical problem solving.
  • Proficiency with Python, SQL, and modern data science ecosystems.
  • Experience deploying and operationalizing machine learning solutions in production environments.
  • Demonstrated ability to influence senior stakeholders and drive business outcomes through data-driven insights.
Preferred Qualifications
  • Experience leading data science teams in retail, eCommerce, supply chain, marketplace, advertising, fintech, or consumer technology environments.
  • Experience working with large-scale structured and unstructured datasets.
  • Knowledge of cloud-based machine learning platforms and MLOps practices.
  • Experience leveraging generative AI, large language models, and emerging AI technologies to solve business challenges.
  • Track record of driving measurable business impact through advanced analytics and machine learning solutions.
You'll Make an Impact By
  • Solving complex business problems through data, analytics, and AI.
  • Building innovative, scalable solutions that improve customer and associate experiences.
  • Developing the next generation of data science leaders.
  • Driving strategic decisions through insights and measurable business outcomes.
  • Advancing Walmart's mission to help people save money and live better.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...640 W California Ave, Sunnyvale, CA 94086-4828, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

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Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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