Data Scientist (US)

EdgeQ Technologies Private Limited; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

EdgeQ Technologies Private Limited is seeking a skilled Data Scientist to help drive data-driven decision making. You will analyze complex datasets, build and evaluate machine learning models, and deliver actionable insights.

Responsibilities include creating dashboards, reports, and visualizations, applying statistical methods, and collaborating with engineering, product, and analytics teams to translate needs into data solutions.

Qualifications

• 2–5 years of professional experience in data science, machine learning, or analytics.
• Proficiency in Python programming.
• Advanced SQL skills and experience with relational databases.
• Strong foundation in statistics and machine learning concepts.
• Experience with data preprocessing, feature engineering, and model evaluation.

Responsibilities

• Analyze large and complex datasets to identify trends and business opportunities.
• Develop, train, and evaluate machine learning models.
• Use Python and SQL for data extraction, analysis, and modeling.
• Apply statistical methods to solve business and technical problems.
• Perform data cleaning, preprocessing, feature engineering, and exploratory analysis.
• Create dashboards, reports, and visualizations to communicate insights.
• Collaborate with engineering, product, and analytics teams to translate requirements into data solutions.

Skills

Python

SQL

Statistics

Machine learning

Data preprocessing

Feature engineering

Model evaluation

Data visualization

Dashboarding

Tools

TensorFlow

PyTorch

Tableau

Power BI

AWS

Azure

GCP

Job description

We are seeking a skilled Data Scientist to join our team and drive data-driven decision making. The role involves analyzing complex datasets, building machine learning models, and delivering actionable insights.

Key Responsibilities

• Analyze large and complex datasets to identify trends and business opportunities.
• Develop, train, and evaluate machine learning models.
• Use Python and SQL for data extraction, analysis, and modeling.
• Apply statistical methods to solve business and technical problems.
• Perform data cleaning, preprocessing, feature engineering, and exploratory analysis.
• Create dashboards, reports, and visualizations to communicate insights.
• Collaborate with engineering, product, and analytics teams to translate requirements into data solutions.

Required Qualifications

• 2–5 years of professional experience in data science, machine learning, or analytics.
• Proficiency in Python programming.
• Advanced SQL skills and experience with relational databases.
• Strong foundation in statistics and machine learning concepts.
• Experience with data preprocessing, feature engineering, and model evaluation.

Nice to have

• Experience with TensorFlow or PyTorch.
• Knowledge of NLP, generative AI, or predictive analytics.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.