Job Description:
Utilizing AI and statistical techniques to extract insights from complex datasets and drive data-driven decision-making. As a Data Scientist, you’ll transform raw data into actionable insights that drive our AI, web, and geospatial solutions. You’ll work on diverse datasets, from business intelligence and customer behavior data to drone and satellite imagery for remote sensing.
Your work will directly support projects in machine learning, predictive analytics, and decision-making systems, helping clients across industries make smarter, data-driven choices.
Responsibilities:
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Collect, clean, and analyze structured and unstructured data.
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Build predictive models and statistical analyses for real-world applications.
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Work with ML engineers to deploy scalable AI/ML solutions.
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Develop data pipelines for geospatial and business datasets.
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Create compelling data visualizations and reports for clients.
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Collaborate with cross-functional teams to integrate data-driven insights into products.
Preferred Qualifications:
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Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.
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Strong skills in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
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Proficiency in SQL and experience with large datasets.
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Knowledge of data visualization tools (Tableau, Power BI, or matplotlib/Plotly).
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Solid understanding of machine learning algorithms and statistical modeling.
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Bonus: Experience with geospatial/remote sensing data or LLMs/NLP.
