Location: Foster City, California
Category: Information Technology
Req ID: 85922
Job Description
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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
We are looking for a skilled and experienced Data Scientist who excels in applying classical machine learning, deep learning and statistical modeling to solve data science problems. The ideal candidate will have the ability to translate complex business problems into data science problems and architect data science-based solutions. As a Data Scientist, you will play a crucial role in leading and mentoring junior data scientists, while collaborating with cross-functional teams to drive data-driven decision-making and solve challenging business problems.
Primary Responsibilities:
- Apply classical machine learning algorithms and statistical models to solve complex business problems and generate actionable insights
- Design, develop, and implement data science solutions, including feature engineering, model development, and evaluation
- Architect scalable and efficient data pipelines for data preprocessing, feature extraction, and model training
- Conduct exploratory data analysis (EDA) to understand data characteristics, identify patterns, and gain insights into data quality and availability
- Mentor and lead junior data scientists, providing technical guidance and fostering their growth and development
- Communicate complex analytical concepts and findings to both technical and non-technical stakeholders in a clear and concise manner
- Stay updated with the latest advancements in machine learning algorithms, tools, and techniques
Skills, Experience and Requirements
Education and Experience:
- Bachelors or Masters degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related disciplines
- Minimum of 2 years of experience in data science, with a focus on classical machine learning and exploratory data analysis
Skills and Qualifications:
- Proficiency in classical machine learning algorithms, statistical models, and their practical application
- Strong programming skills in languages such as Python or R for data manipulation, model development, and evaluation
- Solid understanding of data preprocessing techniques, feature engineering, and model evaluation methods
- Experience in designing and implementing scalable data pipelines for preprocessing, feature extraction, and model training
- Strong problem-solving and analytical skills, with the ability to think critically and creatively
Salary Ranges
Compensation: $72,400.00/Year – $118,900.00/Year
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: DISH Benefits.
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.
This will be posted for a minimum of 3 days or until the position is filled.
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