Data Scientist

Jasper Grove LLC; Omaha (NE); In loco; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Comprehensive health insurance

Employer matching retirement plans

Tuition reimbursement for courses or认证

Descrizione del lavoro

Jasper Grove LLC in Omaha, NE seeks a Data Scientist to analyze complex data, build predictive models, and create visualizations that guide client decisions.

You will collaborate with a team of data scientists, analysts, and consultants in a supportive, innovative office environment that emphasizes growth and ongoing training.

Competenze

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data science or a related field.
• Proficiency in Python, R, or another programming language.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical concepts and techniques.

Mansioni

• Develop and implement data-driven solutions to business problems.
• Analyze large datasets to identify trends and insights.
• Build and maintain machine learning models to predict outcomes and automate processes.
• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.

Conoscenze

Python

R

Statistics concept

Machine learning

Formazione

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field

Strumenti

TensorFlow

PyTorch

scikit-learn

Descrizione del lavoro

Jasper Grove LLC, a growing analytics and consulting firm based in Omaha, NE, is seeking a Data Scientist. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Data Scientist, you will analyze complex data sets, develop predictive models, and create data visualizations to help clients make informed decisions. You will also collaborate with team members to understand business needs and deliver actionable insights.

You will work in a collaborative environment with a team of data scientists, analysts, and consultants, fostering a culture of shared knowledge and mutual support. The office is located in Omaha, NE, a city known for its rich Midwestern charm and strong community spirit, and offers a supportive and innovative workplace. Here, you'll have the opportunity to engage with diverse perspectives and expertise, contributing to a dynamic and inclusive work environment. The office is designed to promote creativity and productivity, featuring open spaces that encourage interaction and collaboration. You'll have access to state-of-the-art tools and technologies, as well as regular training and development opportunities to help you grow professionally. The supportive atmosphere extends beyond the workplace, with a range of social events and activities that allow you to connect with your colleagues on a personal level.

The salary for this position is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience.

Benefits include

• comprehensive health insurance coverage, which may extend to dependents
• retirement plans with employer matching contributions
• Additionally, the company offers professional development opportunities, such as tuition reimbursement for courses or certifications, to support the candidate's growth and advancement within the organization.

• Develop and implement data-driven solutions to business problems
• Analyze large datasets to identify trends and insights
• Build and maintain machine learning models to predict outcomes and automate processes
• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 2+ years of experience in data science or a related field
• Proficiency in Python, R, or another programming language
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong understanding of statistical concepts and techniques