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 continually enhance the company's data capabilities. 
• 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. 

 Qualification:  

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 
• 5-8 years of professional experience in data science, machine learning, and analytics, with a proven track record of 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 non-technical way 
• 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 statistical modeling, 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. 
• Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies.