Data Scientist

GetJobSmart; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Vertex Elite Group in Columbus, OH is seeking a Data Scientist for a full-time role. You will analyze complex data sets, build predictive models, and deliver actionable insights to guide business decisions.

The team emphasizes data-driven approaches and collaboration across functions to stay competitive. You will handle cleaning, preprocessing, machine learning implementation, and visualization to communicate results.

Qualifications

• Strong background in data science and ML.
• Proficiency in Python and R.
• Experience with cleaning and preprocessing large datasets.
• Ability to communicate findings to technical and non-technical stakeholders.

Responsibilities

• Analyze complex data sets and develop predictive models.
• Create visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to translate business needs into DS solutions.
• Improve existing models and develop new ones to enhance analytics.
• Prepare insights to support data-driven decision making.

Skills

Python

R

Data Visualization

Statistical Analysis

Machine Learning

Job description

Vertex Elite Group is seeking a Data Scientist in Columbus, OH for a full-time role. You will analyze complex data sets, develop predictive models, and provide actionable insights to drive business decisions. Your work will be crucial in our data-driven approach, helping us maintain a competitive edge.

Your primary tasks include cleaning and preprocessing large data sets, implementing machine learning algorithms, and creating visualizations to communicate findings. You will collaborate with cross-functional teams to understand business needs and translate them into data science solutions. You will also improve existing models and develop new ones to enhance our analytical capabilities.

You will join a dynamic team in Columbus, Ohio, contributing to a collaborative and innovative work environment. Our team is dedicated to using data science to achieve our business goals and drive continuous improvement.

The compensation for this role is typically discussed during the interview process, where the employer and candidate can negotiate and agree on a suitable salary. While the interview is the primary opportunity to discuss pay, the employer does not provide specific details about benefits, such as health insurance, retirement plans, or paid time off, until after the candidate is hired. The interview process may also involve a background check and a review of the candidate's resume and work history to ensure they meet the job requirements. The workplace is generally a traditional office setting, and the candidate will be expected to perform a variety of tasks, including data entry, customer service, and administrative support. The employer may also require the candidate to have a high school diploma or equivalent, as well as basic computer skills and proficiency in English.

To succeed in this role, you should have a strong background in data science, with experience in machine learning and statistical analysis. Proficiency in Python and R is essential. You should also understand data visualization tools and communicate complex findings to both technical and non-technical stakeholders.

Analyzing complex data sets, developing predictive models, providing actionable insights, cleaning and preprocessing large data sets, implementing machine learning algorithms, creating visualizations, collaborating with cross-functional teams, improving existing models, developing new modelsStrong background in data science, experience in machine learning and statistical analysis, proficiency in Python and R, solid understanding of data visualization tools, ability to communicate complex findings