Python, R

Job Description

Location Any UST office location. NP Immediate to 30 days. Skills : Python, R, SQL, PySpark, Scala Experience with machine learning models.Description for Internal Candidates Statistical analysis o Visualizing data o Detecting patterns and anomalies in datasets o Implementing statistical tests - Machine Learning o Implementing algorithms and statistical models locally and in databricks o Building machine learning pipelines o Tuning hyperparameters o Assessing performance and iterating to improve accuracy Skills: - Programming skills - knowledge and experience with Python, R, SQL, PySpark, Scala - Experience with team-specific tools: databricks, automl - Statistics ability to use statistical tests, regression, maximum likelihood estimators - Knowledge of libraries including pandas, scikitlearn, numpy, statsmodels, beautifulsoup, tensorflow - experience with machine learning models like k-means clustering, random forest, especially those used in time series forecasting including Facebook prophet, holt-winters, ARMA - strong math background including multivariable calculus, linear algebraEXP 6+ yrs.CTC 18 LPA.Location Any UST office location. NP Immediate to 30 days. Skills : Python, R, SQL, PySpark, Scala Experience with machine learning models.Description for Internal Candidates Statistical analysis o Visualizing data o Detecting patterns and anomalies in datasets o Implementing statistical tests - Machine Learning o Implementing algorithms and statistical models locally and in databricks o Building machine learning pipelines o Tuning hyperparameters o Assessing performance and iterating to improve accuracy Skills: - Programming skills - knowledge and experience with Python, R, SQL, PySpark, Scala - Experience with team-specific tools: databricks, automl - Statistics ability to use statistical tests, regression, maximum likelihood estimators - Knowledge of libraries including pandas, scikitlearn, numpy, statsmodels, beautifulsoup, tensorflow - experience with machine learning models like k-means clustering, random forest, especially those used in time series forecasting including Facebook prophet, holt-winters, ARMA - strong math background including multivariable calculus, linear algebra Key Skills: skills : Python, R, SQL, PySpark, Scala Experience with machine learning models.Description for Internal Candidates Statistical analysis o Visualizing data o Detecting patterns and anomalies in datasets o Implementing statistical tests - Machine Learning o Implementing algorithms and statistical models locally and in databricks o Building machine learning pipelines o Tuning hyperparameters o Assessing performance and iterating to improve accuracy Skills: - Programming skills - knowledge and experience with Python, R, SQL, PySpark, Scala - Experience with team-specific tools: databricks, automl - Statistics ability to use statistical tests, regression, maximum likelihood estimators - Knowledge of libraries including pandas, scikitlearn, numpy, statsmodels, beautifulsoup, tensorflow - experience with machine learning models like k-means clustering, random forest, especially those used in time series forecasting including Facebook prophet, holt-winters, ARMA - strong math background including multivariable calculus, linear algebraEXP 6+ yrs.CTC 18 LPA.Location Any UST office location. NP Immediate to 30 days. Skills : Python, R, SQL, PySpark, Scala Experience with machine learning models.Description for Internal Candidates Statistical analysis o Visualizing data o Detecting patterns and anomalies in datasets o Implementing statistical tests - Machine Learning o Implementing algorithms and statistical models locally and in databricks o Building machine learning pipelines o Tuning hyperparameters o Assessing performance and iterating to improve accuracy Skills: - Programming skills - knowledge and experience with Python, R, SQL, PySpark, Scala - Experience with team-specific tools: databricks, automl - Statistics ability to use statistical tests, regression, maximum likelihood estimators - Knowledge of libraries including pandas, scikitlearn, numpy, statsmodels, beautifulsoup, tensorflow - experience with machine learning models like k-means clustering, random forest, especially those used in time series forecasting including Facebook prophet, holt-winters, ARMA - strong math background including multivariable calculus, linear algebra,

Keyskills :
time seriesmachine learningstatistical analysismultivariable calculussqlustarmascalaemailnumpytestspythonforestprophetanalysiscalculuspipelinesstatistics