Data Scientist
Private Tech Inc.
United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$100,000 - $175,000
Working hours
Regular working hours
Job source
Tech stack
A/B Testing
Artificial Intelligence
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
Cloud Computing
Computer Programming
Data Files
Data Visualization
Statistical Hypothesis Testing
Python (Programming Language)
+12 more
Machine Learning
Natural Language Processing
NumPy
Tensorflow
SQL Databases
Google Cloud
Pytorch
Deep Learning
Generative AI
Pandas
Scikit Learn
Information Technology
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., * 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.
Requirements
Data Science, Machine Learning, Data Science, Statistics, Business Support, Data Sets, Analysis Skills, Algorithms, Predictive Modeling, Trend Analysis, * Bachelorβs or Masterβs 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.
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