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Data Scientist

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Job Location drjobs

Atlanta, GA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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:
  • Masters 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

Employment Type

Full Time

Company Industry

About Company

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