Data Scientist (FT, Direct hire W2)

V-Soft Consulting Group, Inc.; Louisville (KY); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a passionate Data Scientist to join their team in Louisville. This full-time, onsite role offers the opportunity to leverage your expertise in Python or R, SQL, and data visualization tools like Tableau and Power BI. You will engage in applying machine learning techniques and working with big data technologies such as Hadoop and Spark. This position not only promises a dynamic work environment but also comes with excellent benefits, making it an exciting opportunity for those looking to advance their career in data science. If you are ready to make an impact in the field of analytics, this role is for you.

Qualifications

• 5+ years of experience in data science or analytics.
• Proficiency in Python or R with data science libraries.

Responsibilities

• Apply machine learning techniques in real-world settings.
• Utilize SQL for querying databases and data analysis.

Skills

Python

R

SQL

Data Visualization

Machine Learning Techniques

Big Data Technologies

Education

Bachelor’s or Master’s degree in Data Science

Degree in Computer Science

Degree in Statistics

Degree in Mathematics

Tools

Tableau

Power BI

Hadoop

Spark

Job description

Large Enterprise is looking for a DATA SCIENTIST for a full-time, W2 ONSITE role in Louisville, KY. This position comes with great benefits.

Required Skills:

• Education and Experience:
• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field required.
• 5+ years of experience in data science, analytics, or a related field.
• Proficiency in Python or R and data science libraries.
• Strong SQL skills for querying databases.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Solid understanding of machine learning techniques (e.g., regression, clustering, classification) and experience applying them in real-world settings.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of statistical methods and techniques.

Seniority Level:

Associate

Employment Type:

Full-time

Job Function:

Information Technology

Industries:

Retail and IT Services and IT Consulting

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