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

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, * 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.

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