Data Scientist: Predictive Modeling & Insights

Deltek

United States

On-site

USD 76,000 - 134,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
401(k) plan with company match
Tuition reimbursement
Vacation time and holidays

Job summary

A leading project-based business solutions provider in the United States is looking for a Data Scientist. In this role, you will apply advanced analytics and machine learning techniques to solve complex challenges and produce actionable insights. The ideal candidate will have 3-5 years of experience, proficiency in Python and SQL, and the ability to communicate effectively across technical and business audiences. The position offers a competitive salary range between $76,000 and $134,000, along with comprehensive benefits.

Qualifications

  • 3-5 years of hands-on data science experience, including model building and statistical analysis.
  • Strong understanding of hypothesis testing, regression, classification, and clustering methods.
  • Proficiency in Python and SQL.

Responsibilities

  • Leverage analytics and machine learning to solve complex business challenges.
  • Build and validate predictive models.
  • Develop dashboards and reports to communicate findings.

Skills

Model building
Statistical analysis
Python (pandas, scikit-learn)
SQL
Data visualization

Education

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

Tools

Tableau
Power BI
Jupyter notebooks

Job description

A leading project-based business solutions provider in the United States is looking for a Data Scientist. In this role, you will apply advanced analytics and machine learning techniques to solve complex challenges and produce actionable insights. The ideal candidate will have 3-5 years of experience, proficiency in Python and SQL, and the ability to communicate effectively across technical and business audiences. The position offers a competitive salary range between $76,000 and $134,000, along with comprehensive benefits.
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