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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** 4P Consulting Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Algorithm Design, Data Analysis, Artificial Neural Networks, Big Data, Databases, Data Governance, Data Integration, Data Visualization, Data Warehousing, Distributed Computing Environment, Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Regression Analysis, Power BI, Tableau (Software), Data Processing, Feature Engineering, Apache Spark, Matplotlib, Information Technology, Machine Learning Operations, Programming Languages - **Published:** September 26, 2026 - **Apply:** https://www.juju.com/job/16_a0cdcec617 ## About the Role A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets., * Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master's or Ph.D. is a plus. * Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. * Programming Languages & Tools: Proficiency in Python, R, or Julia. * Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). * Database Skills: Strong understanding of databases and SQL-based data manipulation. * Additional Skills: + Advanced problem-solving and critical thinking abilities. + Strong communication skills for conveying technical findings to diverse audiences. + Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. + Awareness of data ethics and regulatory compliance. ## Description 1. Data Analysis: * Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. * Apply statistical techniques to derive meaningful information for business strategies. 2. Predictive Modeling: * Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. * Utilize techniques such as regression analysis, classification, and clustering. 3. Data Visualization: * Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). * Effectively communicate insights to both technical and non-technical stakeholders. 4. Hypothesis Testing: * Formulate and test hypotheses to statistically validate business decisions and recommendations. 5. Feature Engineering: * Engineer and select relevant features to optimize the performance of machine learning models. 6. Algorithm Development: * Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 7. Data Integration: * Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 8. Model Deployment: * Deploy machine learning models into production environments to support real-time analytics and decision-making. 9. A/B Testing: * Design and evaluate A/B tests to assess the impact of process or product changes. 10. Data Ethics: * Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 11. Cross-functional Collaboration: * Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 12. Mentorship: * Provide guidance and mentorship to junior data scientists and analysts to support team development. 13. Continuous Learning: * Stay updated on the latest data science tools, trends, and best practices through professional development. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)