KPMG—Data Science - Consultant

Job description

Description: Data Science: Consultant Experience: 4-7 years Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series Forecasting to join our dynamic team. The ideal candidate will have robust experience in developing advanced forecasting models. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome. Key Responsibilities: - Develop and implement advanced machine learning models, particularly focused on time series forecasting. - Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets. - Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency. - Should have extensive experience in developing time series models which was deployed or used at the client side. - Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing. - Communicate results and insights effectively to both technical and non-technical stakeholders. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field; - Strong programming skills in Python and SQL - In-depth knowledge of machine learning algorithms, statistical methods, and time series analysis techniques. - Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others. - Proficiency with data manipulation and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn. - Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment. - Strong analytical and problem-solving skills with attention to detail. - Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences. Preferred Qualifications: - Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models. - Some experience in GenAI is preferred. Requirements: Data Science: Consultant Experience: 4-7 years Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series Forecasting to join our dynamic team. The ideal candidate will have robust experience in developing advanced forecasting models. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome. Key Responsibilities: - Develop and implement advanced machine learning models, particularly focused on time series forecasting. - Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets. - Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency. - Should have extensive experience in developing time series models which was deployed or used at the client side. - Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing. - Communicate results and insights effectively to both technical and non-technical stakeholders. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field; - Strong programming skills in Python and SQL - In-depth knowledge of machine learning algorithms, statistical methods, and time series analysis techniques. - Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others. - Proficiency with data manipulation and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn. - Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment. - Strong analytical and problem-solving skills with attention to detail. - Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences. Preferred Qualifications: - Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models. - Some experience in GenAI is preferred. Responsibilities: Data Science: Consultant Experience: 4-7 years Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series Forecasting to join our dynamic team. The ideal candidate will have robust experience in developing advanced forecasting models. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome. Key Responsibilities: - Develop and implement advanced machine learning models, particularly focused on time series forecasting. - Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets. - Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency. - Should have extensive experience in developing time series models which was deployed or used at the client side. - Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing. - Communicate results and insights effectively to both technical and non-technical stakeholders. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field; - Strong programming skills in Python and SQL - In-depth knowledge of machine learning algorithms, statistical methods, and time series analysis techniques. - Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others. - Proficiency with data manipulation and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn. - Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment. - Strong analytical and problem-solving skills with attention to detail. - Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences. Preferred Qualifications: - Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models. - Some experience in GenAI is preferred.