MindlanceMenlo Park (CA)
Job Description: Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
" Partner with product managers...
Cash AppSan Francisco
Job Description
The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. The goal of the DS team is to derive valuable...
Booz Allen HamiltonSan Diego
challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world...
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Booz Allen HamiltonSan Diego
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve gl...
SAICSan Diego
SAIC is seeking cleared (Secret) Software Engineers to support Project Overmatch. In this role, the Software Engineer will be an integral team member supporting assured Command and Control capabilities for our DoD customer within the Navy Information Warfare Systems Command (NAVWAR) in .
Analyze use...
SAICSan Diego
SAIC is seeking a TS/SCI cleared Software Architect / Engineer responsible for providing high quality software consulting support, application planning, systems integration, and architecture support for a large C4ISR Program of Record in San Diego, CA.
In this role, the Software Architect / Engineer...
LinkedInSunnyvale
to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment.
Our Flagship Data Science team is seeking a Senior Staff Data...
BigHatSan Mateo (CA)
Senior Data Scientist, Computational Biology
Department: DS/ML (Data Science/Machine Learning)
Employment Type: Full Time
Location: San Mateo, CA
Description
The Role: BigHat Biosciences is seeking an exceptional Senior Data Scientist to join...
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Senior Data Scientist
San Francisco | www.resume-library.com |
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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