Data Scientist

Cascade Summit Inc.; Portland (OR); Presencial; USD 110.000 - 155.000; Tempo integral

Benefícios oferecidos por esta vaga

Health insurance (medical, dental, and

Retirement plan with employer match

Professional development opportunities

Resumo da vaga

Cascade Summit Inc. in Portland, OR is hiring a Data Scientist for a full-time role that drives data-informed decision making. You will analyze datasets, build predictive models, and create visualizations to reveal insights for stakeholders.

The ideal candidate has a Master’s degree in Data Science or a related field, strong Python or R skills, experience with ML algorithms and data visualization tools, and excellent collaboration abilities.

Qualificações

• Master's degree in Data Science, Statistics, or related field.
• 2+ years of experience in data science or similar role.
• Proficiency in Python or R.
• Experience with ML algorithms and visualization tools is a plus.

Responsabilidades

• Develop and implement data-driven strategies to solve complex business problems.
• Analyze large datasets to identify trends, patterns, and insights.
• Build and maintain predictive models to forecast future outcomes.
• Collaborate with cross-functional teams to translate data insights into actionable recommendations.
• Create and present data visualizations to communicate findings to stakeholders.
• Stay up-to-date with emerging technologies and industry best practices in data science.

Conhecimentos

Python

R

SQL

Data visualization

Machine learning

Formação

Master's degree in Data Science / Statistics

Bachelor's degree in Computer Science / Statistics / Mathematics

Ferramentas

TensorFlow

PyTorch

Descrição da vaga

Cascade Summit Inc. is hiring a Data Scientist in Portland, OR, for a full-time position. The role involves driving data-driven decision-making and extracting valuable insights from data.

As a Data Scientist, you will analyze complex data sets, develop predictive models, and create data visualizations. You will collaborate with cross-functional teams to understand business needs and translate them into data solutions.

You will work in a collaborative environment with a team of data scientists, engineers, and business analysts in Portland, OR. The workplace culture emphasizes innovation and continuous learning.

The salary range for this position is $110,000 to $154,991, reflecting the competitive nature of the role and the responsibilities it entails. In addition to the base salary, employees are entitled to comprehensive health insurance coverage, which includes medical, dental, and vision plans. The company also offers a robust retirement plan, with a generous employer match to help employees save for their future. Furthermore, professional development opportunities are available, allowing employees to enhance their skills and advance their careers within the organization. These benefits are designed to support employees' overall well-being and success.

You should have a Master's degree in Data Science, Statistics, or a related field. Proficiency in Python, R, and SQL is required. Experience with machine learning algorithms and data visualization tools is a plus.

What you will do:

1. Develop and implement data-driven strategies to solve complex business problems.
2. Analyze large datasets to identify trends, patterns, and insights.
3. Build and maintain predictive models to forecast future outcomes.
4. Collaborate with cross-functional teams to translate data insights into actionable recommendations.
5. Create and present data visualizations to effectively communicate findings to stakeholders.
6. Stay up-to-date with emerging technologies and industry best practices in data science.

What we need:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. 2+ years of experience in data science or a similar role.
3. Proficiency in programming languages such as Python or R.
4. Experience with machine learning algorithms and tools like TensorFlow or PyTorch.
5. Strong understanding of statistical concepts and techniques.
6. Excellent communication and collaboration skills.

November 23, 2026.