Data Scientist

Bridgeway Prime Solutions

Portland (OR)

Hybrid

USD 95,000 - 135,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
Retirement plans
Paid time off

Job summary

Bridgeway Prime Solutions in Portland, OR is seeking a Data Scientist to drive data initiatives and support business decisions. You will develop predictive models using Python or R, clean and preprocess datasets, and create insightful visualizations using tools like Matplotlib, Seaborn, or Tableau.

You will collaborate with data engineers, analysts, and product managers to translate requirements into data problems and work with software engineers to integrate models into production systems.

Qualifications

  • Bachelor's degree in a related field.
  • Strong data science foundation and problem-solving skills.
  • Proficiency in Python and SQL.
  • Experience with machine learning algorithms and model evaluation.

Responsibilities

  • Develop predictive models and data-driven solutions.
  • Clean, preprocess, and analyze large datasets.
  • Create clear data visualizations to communicate insights.
  • Collaborate with data engineers, analysts and product managers to deploy models.

Skills

Python
SQL
Machine learning
Data visualization
Data preprocessing
Cross-functional collaboration

Education

Bachelor's degree

Tools

scikit-learn
TensorFlow
Matplotlib
Seaborn
Tableau
Pandas

Job description

Bridgeway Prime Solutions, a leading tech company specializing in data-driven solutions, is seeking a skilled Data Scientist to join their team in Portland, OR. This full-time role will focus on driving data initiatives and supporting business decisions.

As a Data Scientist, you'll develop predictive models using programming languages like Python or R, and machine learning libraries such as scikit-learn or TensorFlow. You'll analyze large datasets, cleaning and preprocessing the data to ensure its quality and consistency. This may involve tasks like handling missing values, removing duplicates, and transforming variables. You'll create data visualizations using tools like Matplotlib, Seaborn, or Tableau to communicate insights effectively. You'll collaborate with cross-functional teams, including data engineers, business analysts, and product managers, to understand business requirements and translate them into data problems. You'll work closely with software engineers to integrate your models into production systems. Your workplace will likely be an office environment, but it may also involve remote work, depending on the company's policies.

You'll be part of a dedicated team in the heart of Portland, OR, in a vibrant and innovative work environment. Our office provides a collaborative and continuous learning atmosphere.

The salary for this role is discussed at the interview stage, where candidates can expect a competitive compensation package that reflects their skills, experience, and the market rate for the position. In addition to the base salary, Available: a range of benefits that include health insurance, retirement plans, and paid time off. The specific benefits are tailored to meet the needs of each employee and are discussed in detail during the hiring process. The workplace environment is collaborative and supportive, with opportunities for professional development and growth. Candidates should be comfortable with using a variety of tools and technologies, including project management software, communication platforms, and data analysis tools. The role requires a strong work ethic, attention to detail, and the ability to manage multiple tasks effectively.

We're looking for a candidate with a strong background in data science, proficiency in Python and SQL, and experience with machine learning algorithms. A bachelor's degree in a related field is required, and you should be comfortable working in a fast-paced, tech-driven environment.

Develop and implement data science projects, analyze large datasets, create data visualizations, collaborate with cross-functional teamsBachelor's degree in a related field, strong background in data science, proficiency in Python and SQL, experience with machine learning algorithms

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