Data Scientist

Shree Narayani Networking Solutions Pvt Ltd; Columbus (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Shree Narayani Networking Solutions Pvt Ltd in Columbus, OH is seeking a Data Scientist to analyze complex datasets, develop ML models, and deliver data-driven insights for decision-making.

You will clean and transform data, build predictive models, and create visualizations and dashboards to communicate results to stakeholders. Collaboration across data engineers, analysts, and business teams is essential.

Qualifications

• Strong Python and/or R skills required.
• Experience with SQL and relational databases.
• Knowledge of machine learning, statistics, and predictive modeling.
• Experience with ML libraries and data visualization tools.

Responsibilities

• Analyze large and complex datasets to identify patterns and insights.
• Develop and implement statistical, predictive, and ML models.
• Perform data cleaning, transformation, and feature engineering.
• Develop data visualizations, dashboards, and reports.
• Evaluate model performance and improve analytics solutions.
• Collaborate with business stakeholders and tech teams.
• Translate business problems into data science solutions.
• Document methodologies, models, assumptions, and results.

Skills

Python

R

Analytical thinking

Problem solving

Tools

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Power BI

Tableau

Job description

Job Title: Data Scientist

Location: Columbus, OH
Duration: Fulltime

Summary

Seeking a Data Scientist to analyze complex datasets, develop statistical and machine learning models, and provide data-driven insights to support organizational decision-making.

Responsibilities

• Analyze large and complex datasets to identify patterns, trends, relationships, and actionable insights.
• Develop and implement statistical, predictive, and machine learning models.
• Perform data cleaning, transformation, feature engineering, and exploratory data analysis.
• Develop data visualizations, dashboards, and reports.
• Evaluate model performance and improve analytical solutions.
• Collaborate with business stakeholders, data engineers, analysts, and technology teams.
• Translate business problems into data science and analytical solutions.
• Document methodologies, models, assumptions, and results.

Required Skills

• Strong Python and/or R skills.
• Experience with SQL and relational databases.
• Knowledge of machine learning, statistics, predictive modeling, and data mining.
• Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar technologies.
• Experience with Power BI, Tableau, or similar visualization tools.
• Strong analytical, statistical, and problem-solving skills.
• Experience working with large datasets and cloud/data platforms is preferred.