Company:
Unreal Gigs
Location: San Francisco
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
The Role
We are seeking a Senior Data Scientist to join us as one of the founding members of our team, focusing on developing innovative machine learning solutions to solve complex real-world problems for our clients.
In this position, you will collaborate closely with the founders, engineering team, and clients to architect and implement end-to-end solutions. We're looking for someone who excels in both theoretical data science and practical engineering, capable of producing high-quality code for deployment in production environments.
As a "full stack" data scientist, your responsibilities will include:
Understanding and processing customer data through the development of ingestion and ETL pipelines.
Utilizing this data to conceive, develop, and deploy cutting-edge machine learning models for pricing and optimization.
Conducting experiments to evaluate the effectiveness of pricing and promotional strategies.
Working closely with the founders to shape and prioritize our product roadmap, emphasizing the future of data science.
Serving as an internal and external authority on pricing data science.
We welcome candidates who are confident in their ability to fulfill these responsibilities and are eager to collaborate in-person with our founders in San Francisco. Familiarity with AWS technologies (such as EC2, S3, Lambda, ECS, etc.) is advantageous, as our tech stack is built on AWS.
Requirements
Required Qualifications
4+ years of experience with an M.S. or Ph.D., or 6+ years of industry experience with a Bachelor’s degree
Degree in Computer Science, Statistics, Economics, Machine Learning, or related quantitative fields
Willingness to work in-person in San Francisco
Preferred Qualifications (Not Required)
Experience in Revenue Management and Pricing
Expertise in Operations Management and Supply Chain Management
Background in Forecasting
Familiarity with Consumer Choice Modelling
Our Technical Stack
Backend: Typescript
Frontend: Typescript, React
Infrastructure: Postgres, Vercel
Data Science: Python
Benefits
Competitive salary and equity package
Comprehensive health, dental, and vision insurance plans
Unlimited PTO and flexible work hours
Opportunities for professional development and growth
Collaborative and inclusive work environment
Regular team-building events and company retreats
We are seeking a Senior Data Scientist to join us as one of the founding members of our team, focusing on developing innovative machine learning solutions to solve complex real-world problems for our clients.
In this position, you will collaborate closely with the founders, engineering team, and clients to architect and implement end-to-end solutions. We're looking for someone who excels in both theoretical data science and practical engineering, capable of producing high-quality code for deployment in production environments.
As a "full stack" data scientist, your responsibilities will include:
Understanding and processing customer data through the development of ingestion and ETL pipelines.
Utilizing this data to conceive, develop, and deploy cutting-edge machine learning models for pricing and optimization.
Conducting experiments to evaluate the effectiveness of pricing and promotional strategies.
Working closely with the founders to shape and prioritize our product roadmap, emphasizing the future of data science.
Serving as an internal and external authority on pricing data science.
We welcome candidates who are confident in their ability to fulfill these responsibilities and are eager to collaborate in-person with our founders in San Francisco. Familiarity with AWS technologies (such as EC2, S3, Lambda, ECS, etc.) is advantageous, as our tech stack is built on AWS.
Requirements
Required Qualifications
4+ years of experience with an M.S. or Ph.D., or 6+ years of industry experience with a Bachelor’s degree
Degree in Computer Science, Statistics, Economics, Machine Learning, or related quantitative fields
Willingness to work in-person in San Francisco
Preferred Qualifications (Not Required)
Experience in Revenue Management and Pricing
Expertise in Operations Management and Supply Chain Management
Background in Forecasting
Familiarity with Consumer Choice Modelling
Our Technical Stack
Backend: Typescript
Frontend: Typescript, React
Infrastructure: Postgres, Vercel
Data Science: Python
Benefits
Competitive salary and equity package
Comprehensive health, dental, and vision insurance plans
Unlimited PTO and flexible work hours
Opportunities for professional development and growth
Collaborative and inclusive work environment
Regular team-building events and company retreats
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