Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
April 25
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Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
• Collaborate with cross-functional teams to define problem statements, hypotheses, and success metrics for data science projects • Design, develop and deploy machine learning models and predictive analytics solutions at scale • Perform exploratory data analysis, feature engineering, and data preprocessing to support model development • Apply statistical analysis and machine learning techniques to extract insights and solve business problems • Prototype and implement data products and pipelines using modern data tools and frameworks • Drive the adoption of best practices in data science, including experiment design, testing, and evaluation • Communicate findings and insights to stakeholders through data visualization, reports, and presentations • Stay up-to-date with the latest developments and trends in machine learning and data science
• 5+ years of industry experience in data science or related field • Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms • Proficient in Python and popular data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) • Experience with big data processing frameworks (e.g., Spark, Hadoop) • Solid understanding of SQL and databases • Experience with cloud platforms (e.g., AWS, Azure, GCP) • Excellent problem-solving and analytical skills • Strong communication and presentation skills • Master's or PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred
• Currently all interviews and onboarding processes through virtual meetings.
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