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Mid-level, generalist Data Science Engineer in metro startup with broad ML/AI requirements increases applicant competition.
Strong ML/AI and product-focused expertise makes cross-industry transferability limited and domain-sensitive.
Specific five-year minimum and technical plus leadership requirements create tight, high-filter shortlisting.
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Lead data science initiatives to create scalable, predictive, and prescriptive analytics frameworks for product development.
Develop and deploy advanced machine learning and optimization models (including neural networks and knowledge graphs) integrated into products to improve functionality and user experience.
Ensure production readiness, data quality standards, governance, and mentor junior data science team members.
Bachelor’s or Master’s degree in Data Science, Computer Science, Operations Research, or related field.
Minimum 5 years experience in data science focused on product-driven forecasting, classification, and optimization solutions.
Proficiency with machine learning, optimization modeling, Python and SQL; experience with neural networks, transformers, knowledge graphs, and generative AI using LLMs.
Work Experience Required: Minimum 5 years in relevant data science roles.
Experienced leader capable of guiding a high-performing data science team in a startup or fast-growing tech environment.
Strong technical expertise in advanced ML techniques, model deployment and integration into real-world products.
Familiarity or interest in domains like aviation, maritime, or connectivity product landscapes with an ability to translate complex data science into actionable product insights.