4P Consulting Inc
Data Scientist 1
4P Consulting Inc - Atlanta, Georgia, United States, 30383
Work at 4P Consulting Inc
Overview
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Overview
Job Description :
4P Consulting Inc. is seeking a highly skilled
Data Scientist
to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology.
Key Responsibilities : Data Collection : Gather and collect large datasets from multiple sources, including APIs, databases, and external providers. Data Cleaning : Preprocess and clean data to ensure consistency, address missing values, and remove outliers. Exploratory Data Analysis (EDA) : Conduct in-depth analysis to understand data characteristics and patterns. Feature Engineering : Develop features from raw data to enhance machine learning models. Machine Learning Modeling : Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations. Model Evaluation : Assess and fine-tune models using relevant evaluation metrics for optimal performance. Data Visualization : Create clear, insightful visualizations and reports to present findings to non-technical stakeholders. Predictive Analytics : Utilize statistical and machine learning techniques to predict trends and future outcomes. Statistical Analysis : Apply statistical methods to test hypotheses and analyze data. A/B Testing : Design and execute A/B tests to evaluate changes and improvements. Data Integration : Integrate data science solutions into existing workflows and software systems. Data Security : Ensure data privacy by implementing appropriate security measures. Documentation : Maintain clear documentation of processes, models, and findings. Continuous Learning : Stay current on developments in data science and machine learning. Qualifications :
Education : Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred). Programming Skills : Proficiency in Python or R. Data Tools : Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch). Database Knowledge : Strong understanding of SQL and relational databases. Statistical Skills : Expertise in statistical analysis techniques. Machine Learning : Deep knowledge of machine learning algorithms and techniques. Data Visualization : Proficient in tools like Matplotlib, Seaborn, or Tableau. Problem-Solving : Strong analytical and problem-solving skills. Communication : Ability to clearly explain complex findings to non-technical audiences. Collaboration : Experience working within cross-functional teams. Domain Knowledge : Relevant industry experience (e.g., healthcare, finance) may be required. Ethical Considerations : Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits :
Competitive salary Opportunities for career growth and development Health and wellness benefits Collaborative and dynamic work environment
How to Apply : Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you'd be a great fit for the Data Scientist role.
Data Scientist
to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology.
Key Responsibilities : Data Collection : Gather and collect large datasets from multiple sources, including APIs, databases, and external providers. Data Cleaning : Preprocess and clean data to ensure consistency, address missing values, and remove outliers. Exploratory Data Analysis (EDA) : Conduct in-depth analysis to understand data characteristics and patterns. Feature Engineering : Develop features from raw data to enhance machine learning models. Machine Learning Modeling : Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations. Model Evaluation : Assess and fine-tune models using relevant evaluation metrics for optimal performance. Data Visualization : Create clear, insightful visualizations and reports to present findings to non-technical stakeholders. Predictive Analytics : Utilize statistical and machine learning techniques to predict trends and future outcomes. Statistical Analysis : Apply statistical methods to test hypotheses and analyze data. A/B Testing : Design and execute A/B tests to evaluate changes and improvements. Data Integration : Integrate data science solutions into existing workflows and software systems. Data Security : Ensure data privacy by implementing appropriate security measures. Documentation : Maintain clear documentation of processes, models, and findings. Continuous Learning : Stay current on developments in data science and machine learning. Qualifications :
Education : Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred). Programming Skills : Proficiency in Python or R. Data Tools : Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch). Database Knowledge : Strong understanding of SQL and relational databases. Statistical Skills : Expertise in statistical analysis techniques. Machine Learning : Deep knowledge of machine learning algorithms and techniques. Data Visualization : Proficient in tools like Matplotlib, Seaborn, or Tableau. Problem-Solving : Strong analytical and problem-solving skills. Communication : Ability to clearly explain complex findings to non-technical audiences. Collaboration : Experience working within cross-functional teams. Domain Knowledge : Relevant industry experience (e.g., healthcare, finance) may be required. Ethical Considerations : Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits :
Competitive salary Opportunities for career growth and development Health and wellness benefits Collaborative and dynamic work environment
How to Apply : Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you'd be a great fit for the Data Scientist role.