1 to 25 of 166 Remote scikit-learn Jobs

services industry or similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning ...

services industry or similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning ...

services industry or similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning ...

services industry or similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning ...

statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have ...

natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring ...

core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...

impact Portfolio of completed projects and publications showcasing real-world problem-solving Technical Skills Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation ...