Key Responsibilities:

• Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions.
• Analyze construction project data and develop predictive models using traditional data science methods and Generative AI.
• Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment.
• Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring.
• Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg.
• Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly.
• Stay current with advancements in data science and machine learning to help leveraging Company’s data.
• Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget
• Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools.
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• Qualification:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related -field.
• 8-10 years of professional experience with atleast 6 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions.
• Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required.
• Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language.
• Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus.
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• Technical Skills:
• Expertise in programming languages such as Python, R, or Scala.
• Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience in predictive analytics, clustering, classification, regression & multi-variate techniques.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one
• Strong understanding of SQL and working with relational databases.
• Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.