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 budgetCollaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools.
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.
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 oneStrong understanding of SQL and working with relational databases.Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.