Data Scientist

Willow East; St. Louis (MO); On-site; USD 100,000 - 148,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Willow East in St. Louis, MO is seeking a full-time Data Scientist to analyze complex data sets, identify trends, and develop data-driven solutions that impact business decisions.

You will collaborate with cross-functional teams to apply advanced statistical techniques and machine learning methods, contributing to innovation and growth across the organization.

Qualifications

• Strong background in data science.
• Proficiency in Python and R.
• Experience with data visualization tools.
• Degree in a relevant field such as computer science, statistics, or a related discipline.

Responsibilities

• Analyze complex data sets to identify trends and patterns.
• Develop and implement data-driven solutions.
• Collaborate with cross-functional teams to drive business decisions.

Skills

Python

R

Data visualization

Education

Degree in computer science, statistics, or related discipline

Job description

Willow East, a leading manufacturing company based in St. Louis, MO, is seeking a full-time Data Scientist. This role offers the chance to work in a dynamic and innovative environment, contributing to our growth and success.

As a Data Scientist, you will analyze complex data sets to identify trends and patterns, develop and implement data-driven solutions, and collaborate with cross-functional teams to drive business decisions. Your tasks will involve using advanced statistical techniques and machine learning algorithms to solve real-world problems.

You will work closely with the team in St. Louis, MO, contributing to a collaborative workplace. This role offers the opportunity to work on a variety of projects and initiatives that align with the company's strategic goals.

The annual salary for this position ranges from $100,000 to $147,633, providing a competitive compensation package that reflects the responsibilities and skills required for the role. Candidates should be prepared to discuss their salary expectations during the interview process, as additional benefits such as health insurance, retirement plans, and professional development opportunities may be offered to attract and retain the right candidate. The position offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional growth, ensuring that employees are well-supported in their career development and work-life balance.

To excel in this role, you should have a strong background in data science, including proficiency in programming languages such as Python and R, and experience with data visualization tools. You should also have a degree in a relevant field, such as computer science, statistics, or a related discipline.

Analyze complex data sets to identify trends and patternsDevelop and implement data-driven solutionsCollaborate with cross-functional teams to drive business decisionsStrong background in data scienceProficiency in programming languages such as Python and RExperience with data visualization toolsDegree in a relevant field, such as computer science, statistics, or a related discipline