Senior Data Scientist
Posted on Oct 4, 2024 by DISH
San Mateo, CA
Research
Immediate Start
Annual Salary
Full-Time
Company Summary:
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
DISH is looking for a Senior Data Scientist specializing in advanced machine learning techniques to join our AI team. In this role, you will leverage cutting-edge ML and AI technologies to extract insights, develop predictive models, and create innovative solutions. Your expertise in deep learning, generative AI, and NLP will be crucial in driving our data-driven initiatives and enhancing our products.
Key Responsibilities:
Develop and implement advanced machine learning models, with a focus on deep learning and neural networks
Design and apply generative AI solutions to relevant business problems
Utilize natural language processing techniques to extract insights from textual data
Implement and optimize both classical machine learning algorithms and deep learning models
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Stay current with the latest advancements in machine learning and AI, applying new techniques to our projects
Skills, Experience and Requirements:
Education and Experience:
Bachelor's degree in Data Science, Computer Science, Machine Learning, or a related field
4+ years of experience in data science roles, with a strong focus on classical machine learning and deep learning
Skills and Qualifications:
Proficiency in Python and PyTorch, with experience in developing and training complex neural network architectures
Expertise in natural language processing (NLP) techniques and frameworks
Knowledge of version control systems like Git and experience with ML experiment tracking tools
Experience with cloud-based AI/ML platforms, especially AWS SageMaker
Additional Preferred Qualifications:
Master's degree in a relevant field
Experience with other deep learning frameworks (e.g., TensorFlow, JAX)
Familiarity with big data technologies (e.g., Spark) for large-scale data processing
Understanding of MLOps practices for model versioning and deployment
Contributions to open-source ML projects or research publications
#LI-CH2
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
DISH is looking for a Senior Data Scientist specializing in advanced machine learning techniques to join our AI team. In this role, you will leverage cutting-edge ML and AI technologies to extract insights, develop predictive models, and create innovative solutions. Your expertise in deep learning, generative AI, and NLP will be crucial in driving our data-driven initiatives and enhancing our products.
Key Responsibilities:
Develop and implement advanced machine learning models, with a focus on deep learning and neural networks
Design and apply generative AI solutions to relevant business problems
Utilize natural language processing techniques to extract insights from textual data
Implement and optimize both classical machine learning algorithms and deep learning models
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Stay current with the latest advancements in machine learning and AI, applying new techniques to our projects
Skills, Experience and Requirements:
Education and Experience:
Bachelor's degree in Data Science, Computer Science, Machine Learning, or a related field
4+ years of experience in data science roles, with a strong focus on classical machine learning and deep learning
Skills and Qualifications:
Proficiency in Python and PyTorch, with experience in developing and training complex neural network architectures
Expertise in natural language processing (NLP) techniques and frameworks
Knowledge of version control systems like Git and experience with ML experiment tracking tools
Experience with cloud-based AI/ML platforms, especially AWS SageMaker
Additional Preferred Qualifications:
Master's degree in a relevant field
Experience with other deep learning frameworks (e.g., TensorFlow, JAX)
Familiarity with big data technologies (e.g., Spark) for large-scale data processing
Understanding of MLOps practices for model versioning and deployment
Contributions to open-source ML projects or research publications
#LI-CH2
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
Reference: 203272852
https://jobs.careeraddict.com/post/95806481
Senior Data Scientist
Posted on Oct 4, 2024 by DISH
San Mateo, CA
Research
Immediate Start
Annual Salary
Full-Time
Company Summary:
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
DISH is looking for a Senior Data Scientist specializing in advanced machine learning techniques to join our AI team. In this role, you will leverage cutting-edge ML and AI technologies to extract insights, develop predictive models, and create innovative solutions. Your expertise in deep learning, generative AI, and NLP will be crucial in driving our data-driven initiatives and enhancing our products.
Key Responsibilities:
Develop and implement advanced machine learning models, with a focus on deep learning and neural networks
Design and apply generative AI solutions to relevant business problems
Utilize natural language processing techniques to extract insights from textual data
Implement and optimize both classical machine learning algorithms and deep learning models
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Stay current with the latest advancements in machine learning and AI, applying new techniques to our projects
Skills, Experience and Requirements:
Education and Experience:
Bachelor's degree in Data Science, Computer Science, Machine Learning, or a related field
4+ years of experience in data science roles, with a strong focus on classical machine learning and deep learning
Skills and Qualifications:
Proficiency in Python and PyTorch, with experience in developing and training complex neural network architectures
Expertise in natural language processing (NLP) techniques and frameworks
Knowledge of version control systems like Git and experience with ML experiment tracking tools
Experience with cloud-based AI/ML platforms, especially AWS SageMaker
Additional Preferred Qualifications:
Master's degree in a relevant field
Experience with other deep learning frameworks (e.g., TensorFlow, JAX)
Familiarity with big data technologies (e.g., Spark) for large-scale data processing
Understanding of MLOps practices for model versioning and deployment
Contributions to open-source ML projects or research publications
#LI-CH2
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
Department Summary:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities:
DISH is looking for a Senior Data Scientist specializing in advanced machine learning techniques to join our AI team. In this role, you will leverage cutting-edge ML and AI technologies to extract insights, develop predictive models, and create innovative solutions. Your expertise in deep learning, generative AI, and NLP will be crucial in driving our data-driven initiatives and enhancing our products.
Key Responsibilities:
Develop and implement advanced machine learning models, with a focus on deep learning and neural networks
Design and apply generative AI solutions to relevant business problems
Utilize natural language processing techniques to extract insights from textual data
Implement and optimize both classical machine learning algorithms and deep learning models
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Stay current with the latest advancements in machine learning and AI, applying new techniques to our projects
Skills, Experience and Requirements:
Education and Experience:
Bachelor's degree in Data Science, Computer Science, Machine Learning, or a related field
4+ years of experience in data science roles, with a strong focus on classical machine learning and deep learning
Skills and Qualifications:
Proficiency in Python and PyTorch, with experience in developing and training complex neural network architectures
Expertise in natural language processing (NLP) techniques and frameworks
Knowledge of version control systems like Git and experience with ML experiment tracking tools
Experience with cloud-based AI/ML platforms, especially AWS SageMaker
Additional Preferred Qualifications:
Master's degree in a relevant field
Experience with other deep learning frameworks (e.g., TensorFlow, JAX)
Familiarity with big data technologies (e.g., Spark) for large-scale data processing
Understanding of MLOps practices for model versioning and deployment
Contributions to open-source ML projects or research publications
#LI-CH2
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary Range:
USD $(phone number removed) - $(phone number removed) / Year
Reference: 203272852
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