Data Scientist 2 Job at 4pconsultinginc, Atlanta, GA

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  • 4pconsultinginc
  • Atlanta, GA

Job Description

Position: Data Scientist (5 to 10 Years of Experience)

US Citizen/Greencard Preferred.

Overview:
A Data Scientist with 5 to 10 years of experience plays a pivotal role in leveraging data to uncover actionable insights, create predictive models, and drive informed decision-making within an organization. This role requires expertise in advanced analytics, machine learning, and problem-solving to extract meaningful value from large and complex datasets.

Key Responsibilities:

  1. Data Analysis

    • Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
    • Apply statistical techniques to derive meaningful information from data.
  2. Predictive Modeling

    • Develop and deploy machine learning models to forecast trends, behaviors, and outcomes.
    • Employ techniques such as regression analysis, clustering, and classification.
  3. Data Visualization

    • Design and present compelling visualizations to communicate findings effectively to technical and non-technical audiences using tools like Tableau, Power BI, or Python libraries.
  4. Hypothesis Testing

    • Formulate and validate hypotheses to support data-driven business decisions.
  5. Feature Engineering

    • Engineer and optimize features to enhance the performance of machine learning models.
  6. Algorithm Development

    • Build, test, and fine-tune algorithms, including decision trees, random forests, neural networks, and more, tailored to specific challenges.
  7. Data Integration

    • Collaborate with IT teams to integrate and access data from diverse sources and data warehouses.
  8. Model Deployment

    • Implement machine learning models in production to support real-time decision-making.
  9. A/B Testing

    • Design and analyze A/B tests to evaluate the impact of interventions and enhancements.
  10. Data Ethics

    • Ensure adherence to ethical data practices, including privacy standards and compliance with data protection regulations.
  11. Cross-functional Collaboration

    • Partner with engineers, business analysts, and domain experts to align data initiatives with organizational goals.
  12. Mentorship

    • Mentor and guide junior data scientists and analysts to foster their professional development.
  13. Continuous Learning

    • Stay abreast of the latest tools, techniques, and trends in data science through ongoing education and professional development.

Qualifications:

  • Education:

    • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). A Master's or Ph.D. is preferred.
  • Experience:

    • 5 to 10 years of hands-on experience in data science, including machine learning and statistical analysis.
  • Technical Skills:

    • Proficiency in programming languages such as Python, R, or Julia.
    • Solid understanding of machine learning algorithms and their practical applications.
    • Expertise in data visualization tools (e.g., Tableau, Power BI) or Python libraries (e.g., Matplotlib, Seaborn).
    • Strong skills in SQL for data manipulation and querying.
    • Familiarity with big data technologies (e.g., Hadoop, Spark) is an advantage.
  • Soft Skills:

    • Excellent problem-solving and critical-thinking abilities.
    • Strong communication skills to convey complex insights effectively to varied audiences.
  • Ethics and Compliance:

    • Knowledge of data privacy, ethical considerations, and compliance frameworks.

Summary:
A seasoned Data Scientist with 5 to 10 years of experience is an invaluable contributor to any organization. This professional combines technical expertise, advanced analytics, and strategic thinking to transform data into actionable insights, optimize decision-making, and mentor emerging talent, ensuring sustainable growth in data-driven operations.

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