Iceberg
Key Responsibilities
Collect, clean, and analyze large datasets from multiple sources. Build and deploy machine learning models to support business and research initiatives. Write production-ready code in Python, R, or similar languages to automate workflows and improve data pipelines. Collaborate with stakeholders to translate business needs into data-driven solutions. Present findings through clear visualizations, dashboards, and reports for both technical and non-technical audiences. What We’re Looking For
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. 3+ years of experience in data science, analytics, or a related role. Proficiency in Python, R, SQL (experience with additional languages like Java or Scala a plus). Strong knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (Tableau, Power BI, or matplotlib). Familiarity with cloud platforms (AWS, Azure, or GCP) preferred. Excellent problem-solving skills and the ability to communicate complex ideas clearly. Why Apply?
Opportunity to work on high-visibility projects with real-world impact. Collaborative and innovative work culture. Competitive compensation and benefits package. Based in Washington, D.C. with opportunities for hybrid/remote flexibility depending on project needs.
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Collect, clean, and analyze large datasets from multiple sources. Build and deploy machine learning models to support business and research initiatives. Write production-ready code in Python, R, or similar languages to automate workflows and improve data pipelines. Collaborate with stakeholders to translate business needs into data-driven solutions. Present findings through clear visualizations, dashboards, and reports for both technical and non-technical audiences. What We’re Looking For
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. 3+ years of experience in data science, analytics, or a related role. Proficiency in Python, R, SQL (experience with additional languages like Java or Scala a plus). Strong knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (Tableau, Power BI, or matplotlib). Familiarity with cloud platforms (AWS, Azure, or GCP) preferred. Excellent problem-solving skills and the ability to communicate complex ideas clearly. Why Apply?
Opportunity to work on high-visibility projects with real-world impact. Collaborative and innovative work culture. Competitive compensation and benefits package. Based in Washington, D.C. with opportunities for hybrid/remote flexibility depending on project needs.
#J-18808-Ljbffr