4P Consulting Inc
Data Scientist 3 4P/298
4P Consulting Inc - Atlanta, Georgia, United States, 30383
Work at 4P Consulting Inc
Overview
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Overview
Job Title:
Senior Data Scientist
Experience:
10-15 Years Location:
Atlanta, Ga
Contract- 1 Year
Client Southern Company Job Summary:
We are seeking a highly experienced and innovative
Senior Data Scientist
to lead the development and implementation of data-driven solutions across the organization. This strategic role is ideal for a professional with deep technical expertise, strong leadership capabilities, and a proven track record of leveraging advanced analytics and machine learning to solve complex business challenges. Key Responsibilities: Conduct advanced statistical and machine learning analyses on large, complex data sets Develop and deploy predictive models using deep learning, ensemble methods, and neural networks Create effective data visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) Lead feature engineering efforts to improve model performance Perform statistical testing and hypothesis validation to support business decisions Design, build, and optimize custom machine learning algorithms Collaborate with IT and data engineering to access and integrate data from varied sources Deploy machine learning models in production for real-time applications Design and analyze A/B testing experiments Ensure compliance with data privacy and ethical standards Partner with business and technical teams to align data science efforts with organizational goals Mentor junior data scientists and promote a data-driven culture Define long-term strategy for data science initiatives and innovation Qualifications: Master's or Ph.D. in a quantitative discipline 10-15 years of experience in data science, including leadership roles Strong programming skills in Python, R, or Julia Expert in advanced machine learning and statistical modeling Experienced in big data ecosystems (e.g., Hadoop, Spark) Proficient in SQL and data wrangling techniques Strong communication and storytelling abilities for technical and non-technical audiences Deep understanding of data governance, ethics, and compliance Preferred Tools & Technologies: Languages/Frameworks:
Python, R, SQL, Spark Visualization Tools:
Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly) Big Data Technologies:
Hadoop, Spark, Kafka Machine Learning Libraries:
Scikit-learn, TensorFlow, PyTorch, XGBoost
Senior Data Scientist
Experience:
10-15 Years Location:
Atlanta, Ga
Contract- 1 Year
Client Southern Company Job Summary:
We are seeking a highly experienced and innovative
Senior Data Scientist
to lead the development and implementation of data-driven solutions across the organization. This strategic role is ideal for a professional with deep technical expertise, strong leadership capabilities, and a proven track record of leveraging advanced analytics and machine learning to solve complex business challenges. Key Responsibilities: Conduct advanced statistical and machine learning analyses on large, complex data sets Develop and deploy predictive models using deep learning, ensemble methods, and neural networks Create effective data visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) Lead feature engineering efforts to improve model performance Perform statistical testing and hypothesis validation to support business decisions Design, build, and optimize custom machine learning algorithms Collaborate with IT and data engineering to access and integrate data from varied sources Deploy machine learning models in production for real-time applications Design and analyze A/B testing experiments Ensure compliance with data privacy and ethical standards Partner with business and technical teams to align data science efforts with organizational goals Mentor junior data scientists and promote a data-driven culture Define long-term strategy for data science initiatives and innovation Qualifications: Master's or Ph.D. in a quantitative discipline 10-15 years of experience in data science, including leadership roles Strong programming skills in Python, R, or Julia Expert in advanced machine learning and statistical modeling Experienced in big data ecosystems (e.g., Hadoop, Spark) Proficient in SQL and data wrangling techniques Strong communication and storytelling abilities for technical and non-technical audiences Deep understanding of data governance, ethics, and compliance Preferred Tools & Technologies: Languages/Frameworks:
Python, R, SQL, Spark Visualization Tools:
Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly) Big Data Technologies:
Hadoop, Spark, Kafka Machine Learning Libraries:
Scikit-learn, TensorFlow, PyTorch, XGBoost