Data Scientist

EdgeQ Technologies Private Limited; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

EdgeQ Technologies Private Limited is seeking a skilled Data Scientist to join our team and turn data into actionable insights. The role focuses on statistical analysis, machine learning, and delivering findings that inform business decisions.

You will collect and process large datasets, develop ML models, perform hypothesis tests, and present clear recommendations. Collaboration with engineers and analysts is essential to succeed.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 2–5 years of experience in Data Science.
• Strong Python programming with NumPy, Pandas, Scikit-learn.
• Solid understanding of statistics, probability, and ML algorithms.
• Proficiency in SQL and data visualization.

Responsibilities

• Collect, clean, process, and analyze large datasets.
• Develop and implement machine learning models and algorithms.
• Perform statistical analysis and hypothesis testing.
• Build predictive models to identify trends and business opportunities.
• Develop data visualizations and analytical reports.
• Collaborate with Data Engineers, Business Analysts, and Engineering teams.
• Present analytical findings and actionable recommendations to stakeholders.

Skills

Statistical analysis

Machine learning

Python programming

SQL

Data visualization

Pandas

NumPy

Scikit-learn

Hypothesis testing

Education

Bachelor's or Master's degree in Computer Science/Data Science/Statistics/Mathematics/Artificial Intelligence or related field

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Matplotlib

Job description

We are seeking a skilled Data Scientist to join our team. The role involves statistical analysis, machine learning, and delivering data-driven insights to support business decisions.

Key responsibilities

• Collect, clean, process, and analyze large datasets.
• Develop and implement machine learning models and algorithms.
• Perform statistical analysis and hypothesis testing.
• Build predictive models to identify trends and business opportunities.
• Develop data visualizations and analytical reports.
• Collaborate with Data Engineers, Business Analysts, and Engineering teams.
• Present analytical findings and actionable recommendations to stakeholders.

Required qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related field.
• 2–5 years of experience in Data Science or a related field.
• Strong programming skills in Python and experience with NumPy, Pandas, Scikit-learn.
• Solid understanding of statistics, probability, and machine learning algorithms.
• Proficiency in SQL and data visualization techniques.

Nice to have

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of NLP, Generative AI, and A/B testing.