Data Scientist

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    "location": {
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    "datePosted": "2025-02-01",
    "atsLocation": {
      "city": "Remote",
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      "country": "Colombia",
      "countryId": "47"
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    "description": "<p>We are looking for a highly skilled <span style=\"font-weight: bold\">Data Scientist</span> to develop advanced models, analyze complex datasets, and generate insights that fuel decision-making and automation.</p>\n<p><br></p>\n<p>This role focuses on leveraging data and AI to create innovative solutions that drive business success.<br>You will collaborate with Data Engineers, AI Engineers, and Product Managers to build scalable and impactful data solutions.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li>Develop and deploy machine learning models for predictive analytics, recommendation systems, NLP, and computer vision.</li>\n<li>Perform statistical analysis and data exploration to extract actionable insights.</li>\n<li>Design and implement AI/ML algorithms, including supervised and unsupervised learning techniques.</li>\n<li>Utilize Deep Learning frameworks (TensorFlow, PyTorch) for complex AI tasks.</li>\n<li>Work with big data processing frameworks such as Apache Spark and Dask.</li>\n<li>Collaborate with Data Engineers to optimize data pipelines and feature engineering.</li>\n<li>Implement model monitoring, validation, and optimization techniques.</li>\n<li>Use A/B testing and experimentation to refine models and improve decision-making.</li>\n<li>Deploy AI solutions in cloud environments (AWS, Azure, GCP).</li>\n<li>Stay updated with AI/ML research trends and integrate state-of-the-art techniques into business applications.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">Requirements</span></p>\n<p><span style=\"font-weight: bold\">Required Skills &amp; Experience</span></p>\n<ul>\n<li>Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn.</li>\n<li>Strong understanding of supervised, unsupervised, and deep learning models.</li>\n<li>Experience in data analysis and visualization (Pandas, NumPy, Matplotlib, Seaborn).</li>\n<li>Hands-on experience with SQL and NoSQL databases for data retrieval and processing.</li>\n<li>Proficiency in Python, R, or Julia for machine learning and data analysis.</li>\n<li>Experience with cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).</li>\n<li>Strong knowledge of time-series forecasting, NLP, and recommendation systems.</li>\n<li>Experience in A/B testing, experimentation, and model performance evaluation.</li>\n<li>Familiarity with MLOps tools (MLflow, Kubeflow) for model deployment and tracking.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred Qualifications</span></p>\n<ul>\n<li> Experience with Large Language Models (LLMs) and generative AI.</li>\n<li>Hands-on knowledge of Retrieval-Augmented Generation (RAG) and prompt engineering.</li>\n<li>Strong background in graph analytics, anomaly detection, and optimization algorithms.<br></li>\n<li>Understanding of graph databases (Neo4j, ArangoDB) and knowledge graphs.</li>\n<li>Contributions to open-source AI/ML projects or academic research.</li>\n</ul>\n<p><br></p>",
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