Data Scientist
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Compensation
Salary & market context
164% above the BLS national median
BLS national median: $74,680
- In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
Requirements
Top requirements
- Minimum Requirements: Master’s degree (or its foreign equivalent) in Computer Science, Information Management, Statistics, Mathematics, or closely related quantitative field and two (2) years of experience in data science, machine learning, or a related field.
Perks & setup
Benefits candidates care about
- s:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Why candidates care
Benefits & perks
- s:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
Start here
Requirements
- Minimum Requirements: Master’s degree (or its foreign equivalent) in Computer Science, Information Management, Statistics, Mathematics, or closely related quantitative field and two (2) years of experience in data science, machine learning, or a related field.
Responsibilities
What you'll do
- Job Duties: Design, develop, and apply DS solutions to inform improvements in advertiser experience as well as Reddit ad platform and marketplace performance.
- Analyse large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform.
- Special Skill Requirements: (1) Statistical modelling (2) Machine learning algorithms (3) Causal inference (4) Experimentation design (5) Large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive (6) Python or R (7) Machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (8) SQL and relational databases Any suitable combination of education, training and experience is acceptable.
- You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
Role snapshot
About the role
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .
Job Duties: Design, develop, and apply DS solutions to inform improvements in advertiser experience as well as Reddit ad platform and marketplace performance. Analyse large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform. Collaborate with product managers and engineers to define product requirements and translate them into data science solutions. Develop Machine Learning models and Data Science methods to improve anomaly detection, prediction and pattern recognition. Communicate findings and recommendations to stakeholders across the organization. Telecommuting permitted.
Minimum Requirements: Master’s degree (or its foreign equivalent) in Computer Science, Information Management, Statistics, Mathematics, or closely related quantitative field and two (2) years of experience in data science, machine learning, or a related field.
Special Skill Requirements: (1) Statistical modelling (2) Machine learning algorithms (3) Causal inference (4) Experimentation design (5) Large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive (6) Python or R (7) Machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (8) SQL and relational databases Any suitable combination of education, training and experience is acceptable. Experience can be gained through coursework, scholastic achievement, or work experience.
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