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Data Scientist II - QuantumBlack, AI by McKinsey

at McKinsey & Company

Back to all Data Science / AI / ML jobs
McKinsey & Company logo
Industry not specified

Data Scientist II - QuantumBlack, AI by McKinsey

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

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Compensation
Not specified

Currency: Not specified

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**Data Scientist II - QuantumBlack, AI by McKinsey** combines AI and business acumen to drive real-world impact. Key responsibilities include: - Designing and implementing machine learning models - Analyzing and interpreting complex data sets - Collaborating with cross-functional teams to deliver innovative solutions - Storytelling data insights to stakeholders at all levels Required skills and experience: - Proven expertise in Python, R, and data visualization libraries (e.g., TensorFlow, PyTorch, Keras, Matplotlib, Seaborn, Tableau) - Strong statistical and mathematical foundations (e.g., feature engineering, model selection, A/B testing) - Experience in data manipulation tools (e.g., pandas, NumPy, Spark) - Familiarity with cloud platforms (e.g., AWS, GCP) - Two to five years of practical data science experience

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

Data Scientist II - QuantumBlack, AI by McKinsey

at McKinsey & Company

Back to all Data Science / AI / ML jobs
McKinsey & Company logo
Industry not specified

Data Scientist II - QuantumBlack, AI by McKinsey

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Data Scientist II - QuantumBlack, AI by McKinsey** combines AI and business acumen to drive real-world impact. Key responsibilities include: - Designing and implementing machine learning models - Analyzing and interpreting complex data sets - Collaborating with cross-functional teams to deliver innovative solutions - Storytelling data insights to stakeholders at all levels Required skills and experience: - Proven expertise in Python, R, and data visualization libraries (e.g., TensorFlow, PyTorch, Keras, Matplotlib, Seaborn, Tableau) - Strong statistical and mathematical foundations (e.g., feature engineering, model selection, A/B testing) - Experience in data manipulation tools (e.g., pandas, NumPy, Spark) - Familiarity with cloud platforms (e.g., AWS, GCP) - Two to five years of practical data science experience

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

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