Data Scientist 3 4P/298

4P Consulting Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist to lead data-driven solutions across the organization. The ideal candidate will have substantial experience in advanced analytics and machine learning, paired with strong leadership skills, to tackle complex business challenges. Responsibilities include statistical analysis, model deployment, and mentoring junior data scientists. Candidates should possess a Master's or Ph.D. in a quantitative discipline and have a track record in successful data initiatives.

Qualifications

• 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.

Responsibilities

• Conduct advanced statistical and machine learning analyses on large datasets.
• Develop and deploy predictive models using deep learning.
• Lead feature engineering efforts to improve model performance.

Skills

Python

R

Statistical modeling

Machine learning

Data governance

Communication

Education

Master’s or Ph.D. in a quantitative discipline

Tools

Hadoop

Spark

Tableau

Power BI

Scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

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