Data Scientist
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Role details
Tech stack
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Job description
For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.
Requirements
4+ years of experience in data science, advanced analytics, machine learning, or statistical modeling.
Strong proficiency in Python, SQL, and statistical programming tools such as R.
Experience with machine learning frameworks including scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong understanding of statistical modeling, regression analysis, classification, clustering, and predictive analytics.
Experience cleaning, transforming, and analyzing large structured and unstructured datasets.
Knowledge of feature engineering, model training, validation, and performance evaluation.
Experience with cloud-based analytics and machine learning platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
Familiarity with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly.
Experience with natural language processing (NLP), generative AI, or deep learning preferred.
Ability to communicate complex analytical findings to technical and nontechnical audiences.
About the company
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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