Data Scientist 1

4 days ago

Atlanta, Georgia, United States 4P Consulting Full time

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 detailing your experience and why you'd be a great fit for the Data Scientist role.

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