Senior Data Scientist, AI for Business Functions

• Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments.
• Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges.
• Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what-if modeling) to evaluate trade-offs, optimize business decisions, and improve operational and financial outcomes across complex, multi-constraint problem spaces.
• Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights.
• Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels.
• Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making.
• Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity.

• 2+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive data-informed decisions.
• Strong foundation in machine learning, data mining, and predictive analytics, including both supervised and unsupervised learning techniques, with a proven ability to translate insights into actionable outcomes.
• Advanced Python programming skills with hands-on experience using key data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Extensive experience working with large-scale datasets and cloud-based data platforms, including Snowflake, Google Cloud, AWS, and Azure, as well as data extraction and transformation using SQL and other query languages.
• Excellent analytical, communication, and presentation skills, with expertise in data visualization, data quality management, and effectively conveying complex findings to both technical and non-technical partners., * Master’s degree in Statistics, Data Science, Computer Science, Engineering, or a related field, or demonstrated equivalent experience.
• Proven ability in working alongside generative AI and large language models (LLMs) within business contexts to build AI solutions.
• Strong experience applying optimization and simulation techniques, including linear/nonlinear programming, discrete-event or Monte Carlo simulation, and scenario modeling.

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