Jobright.ai
Junior Applied Scientist, Experimentation and Causal Inference
Jobright.ai - Seattle, Washington, us, 98127
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Junior Applied Scientist, Experimentation and Causal Inference
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Junior Applied Scientist, Experimentation and Causal Inference
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Jobright.ai Junior Applied Scientist, Experimentation and Causal Inference
3 days ago Be among the first 25 applicants Join to apply for the
Junior Applied Scientist, Experimentation and Causal Inference
role at
Jobright.ai DoorDash is a technology and logistics company focused on empowering local economies. They are seeking an Applied Scientist for their Experimentation Platform Team to develop state-of-the-art platforms for data-driven decision making through experimentation and causal analysis. Responsibilities: • Build Experimentation platform that can evolve to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques • Drive the statistical and ML development of internal platforms, including both the theoretical and engineering aspects, products including A/B testing platform, Causal Inference platform and Adaptive Learning platform (RL/MAB) • Expand the statistical and causal inference algorithms to support large-scale experimentation volume and computation load and high noise-to-signal business environment • Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval and data augmentation strategies to advance the hypothesis generation of the experimentation platform • Advise data scientists, operators, and engineers across the company on experimental design and adoption of experimentation tools Qualifications: Required: • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing statistical or ML models with business impacts • M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or other related quantitative fields • Demonstrated expertise with programming languages, e.g. Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib, etc. • You are located or are planning to relocate to San Francisco or CA, Sunnyvale, CA, Seattle, WA Preferred: • Deep expertise in mathematics, statistics, causal inference or econometrics • Fullstack industry experience (web + backend) • Experience with any of the 'Big Data' technologies (e.g. Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark etc.) • Experience building reliable, scalable, highly available distributed systems Company: DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. DoorDash has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Applied Scientist jobs in
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Join to apply for the
Junior Applied Scientist, Experimentation and Causal Inference
role at
Jobright.ai Junior Applied Scientist, Experimentation and Causal Inference
3 days ago Be among the first 25 applicants Join to apply for the
Junior Applied Scientist, Experimentation and Causal Inference
role at
Jobright.ai DoorDash is a technology and logistics company focused on empowering local economies. They are seeking an Applied Scientist for their Experimentation Platform Team to develop state-of-the-art platforms for data-driven decision making through experimentation and causal analysis. Responsibilities: • Build Experimentation platform that can evolve to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques • Drive the statistical and ML development of internal platforms, including both the theoretical and engineering aspects, products including A/B testing platform, Causal Inference platform and Adaptive Learning platform (RL/MAB) • Expand the statistical and causal inference algorithms to support large-scale experimentation volume and computation load and high noise-to-signal business environment • Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval and data augmentation strategies to advance the hypothesis generation of the experimentation platform • Advise data scientists, operators, and engineers across the company on experimental design and adoption of experimentation tools Qualifications: Required: • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing statistical or ML models with business impacts • M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or other related quantitative fields • Demonstrated expertise with programming languages, e.g. Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib, etc. • You are located or are planning to relocate to San Francisco or CA, Sunnyvale, CA, Seattle, WA Preferred: • Deep expertise in mathematics, statistics, causal inference or econometrics • Fullstack industry experience (web + backend) • Experience with any of the 'Big Data' technologies (e.g. Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark etc.) • Experience building reliable, scalable, highly available distributed systems Company: DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. DoorDash has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Applied Scientist jobs in
Seattle, WA . Bellevue, WA $130,000.00-$200,000.00 1 week ago Seattle, WA $110,000.00-$180,000.00 2 weeks ago Seattle, WA $100,000.00-$220,000.00 3 months ago Seattle, WA $10,000.00-$12,500.00 1 month ago Redmond, WA $119,800.00-$258,000.00 2 weeks ago Redmond, WA $117,200.00-$250,200.00 2 weeks ago Seattle, WA $136,000.00-$212,800.00 2 weeks ago Redmond, WA $163,000.00-$331,200.00 1 week ago Redmond, WA $139,900.00-$304,200.00 2 weeks ago Seattle, WA $113,000.00-$195,200.00 3 days ago RESEARCH SCIENTIST/ENGINEER 1 (Hourly/Temporary)
Bellevue, WA $163,360.00-$245,040.00 2 weeks ago Research Scientist, Robotics Research - New College Grad 2025
Seattle, WA $160,000.00-$258,750.00 2 weeks ago RESEARCH SCIENTIST/ENGINEER 1 (Project/Temporary)
Seattle, WA $4,276.00-$7,765.00 3 weeks ago Redmond, WA $80,000.00-$180,000.00 4 months ago Seattle, WA $186,400.00-$314,900.00 2 weeks ago Redmond, WA $100,600.00-$215,400.00 3 days ago Seattle, WA $130,000.00-$165,000.00 1 week ago Bellevue, WA $190,000.00-$320,000.00 3 days ago Seattle, WA $175,000.00-$200,000.00 3 days ago Seattle, WA $72,000.00-$80,000.00 2 weeks ago Aerodynamic Modeling Research Scientist, Prime Air Flight Sciences Aerodynamic Modeling
Seattle, WA $136,000.00-$212,800.00 1 week ago Applied Scientist, Autonomous Systems and Control Simulation
Bothell, WA $128,119.00-$167,740.00 3 weeks ago Redmond, WA $90,000.00-$120,000.00 2 weeks ago Seattle, WA $140,000.00-$220,000.00 3 months ago Seattle, WA $136,000.00-$212,800.00 22 hours ago Greater Seattle Area $99,461.00-$128,329.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr