Data Scientist

GetJobSmart; Saint Paul (MN); On-site; USD 85,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Professional development opportunities

Job summary

Keystone West Corp. in Saint Paul, MN is seeking a passionate Data Scientist to join our full-time team. You will analyze complex data sets, build predictive models, and interpret data to inform strategic decisions.

Collaborate with a dynamic team to identify trends, patterns, and insights to optimize operations and services. A master's degree is preferred, with strong ML, statistics, and data visualization skills.

Qualifications

• Strong data science background with experience in ML, statistics, and visualization.
• Experience analyzing complex data sets and deriving insights.
• Master’s degree preferred in a relevant field.
• Comfortable handling large data sets and extracting actionable findings.

Responsibilities

• Analyze complex data sets and build predictive models.
• Interpret data to inform strategic business decisions.
• Identify trends, patterns and insights to optimize operations.
• Collaborate with team to translate analyses into actionable recommendations.

Skills

Data science

Machine learning

Statistical analysis

Data visualization

Education

Master's degree in a relevant field

Job description

Keystone West Corp., a forward-thinking industrial company based in Saint Paul, MN, is seeking a passionate Data Scientist to join our full-time team and leverage data to drive business growth.

As a Data Scientist, you'll analyze complex data sets, build predictive models, and interpret data to inform strategic decisions. You'll collaborate with our team to identify trends, patterns, and insights to optimize operations and enhance services.

You'll be part of a dynamic team in the innovative city of Saint Paul, MN, where collaboration and creativity are key.

During the interview process, compensation and benefits are discussed in detail. This includes base salary, performance bonuses, and other forms of remuneration. The company's benefits package is also thoroughly explained, which may include health insurance, retirement plans, paid time off, and professional development opportunities. The discussion often involves the candidate's expectations and the company's offerings, ensuring both parties are aligned. The interviewers may also provide information about the company's salary structure, benefits administration, and any specific requirements or policies related to compensation and benefits. This step is crucial in helping the candidate understand the overall package and make an informed decision about joining the company.

We're looking for a candidate with a strong data science background, including experience in machine learning, statistical analysis, and data visualization. You should hold a relevant degree, preferably a' master's, and be comfortable handling large data sets.

• Analyze complex data sets
• build predictive models
• interpret data to inform business decisions
• work closely with the team to identify trends
• patterns
• and insightsStrong background in data science
• experience with machine learning
• statistical analysis
• and data visualization
• degree in a relevant field
• preferably a' master's degree
• comfortable working with large data sets