Data Scientist

Juniper Atlantic; Milwaukee (WI); On-site; USD 140,000 - 214,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Bonuses or performance incentives

Job summary

Juniper Atlantic in Milwaukee, WI is seeking a Data Scientist to leverage data for strategic decisions and operational improvements. This full-time role focuses on analyzing large datasets, building predictive models, and creating visualizations to communicate insights to stakeholders.

You will collaborate with cross-functional teams to translate business needs into data solutions, requiring a strong data science background, proficiency in Python, R, and SQL, and excellent communication skills.

Qualifications

• Bachelor's degree in a relevant field is required.
• Master's degree in data science or equivalent is preferred.
• Proficiency in Python, R and SQL is required.
• Experience with machine learning algorithms and statistical analysis.
• Strong communication and teamwork abilities are essential.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Develop predictive models to inform business decisions.
• Create visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to translate business needs into data solutions.

Skills

Python

R

SQL

Machine learning

Statistical analysis

Communication

Teamwork

Education

Master's degree in data science or equivalent

Bachelor's degree in a relevant field

Job description

Juniper Atlantic, a leading company in maritime and logistics, is hiring a Data Scientist in Milwaukee, WI. This full-time role involves using data to make strategic decisions and improve operations.

Daily tasks include analyzing large datasets to find trends, creating predictive models, and making visualizations to share insights with stakeholders. You'll work with teams to understand business needs and turn them into data solutions.

Join our dynamic team in Milwaukee, WI. Our open office setup encourages teamwork and creativity, giving you the resources to succeed.

The annual salary range for this position is $140,000 to $214,112, reflecting the comprehensive responsibilities and qualifications required for the role. Candidates can expect a competitive compensation package, which will be thoroughly discussed during the interview process. Benefits, including health insurance, retirement plans, and possibly bonuses or performance incentives, will be part of the compensation discussion. The role demands a high level of expertise and dedication, which is why the salary is set at the upper end of the range. The workplace is typically an office environment, requiring candidates to be proficient in using standard office tools such as computers, email systems, and project management software. Candidates should be prepared to discuss their experience with these tools and their ability to manage multiple tasks and deadlines effectively. The position requires a bachelor's degree in a relevant field and several years of experience in the industry. Candidates should be ready to provide examples of their work and achievements in their application and during the interview. The role involves a significant amount of travel, so candidates should be comfortable with this aspect of the job. Overall, the salary and benefits reflect the value and importance of this position within the organization.

You need a strong data science background with a master's degree or similar experience. Proficiency in Python, R, and SQL is required, along with machine learning and statistical skills. Good communication and teamwork abilities are also necessary.

Analyzing large datasets, Developing predictive models, Creating visualizations, Collaborating with cross-functional teamsMaster's degree or equivalent experience in data science, Proficiency in Python, R, and SQL, Experience in machine learning algorithms and statistical analysis, Excellent communication skills