Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Data Scientist
ICT
Company shared salary
NA
Market rate
NA
Based on similar roles (title + domain + location).
About the Company
vConstruct, a part of DPR Construction, is transforming the construction industry through Artificial Intelligence, Machine Learning, Data Engineering, Computer Vision, and Digital Engineering. We develop AI-powered solutions that improve safety, quality, productivity, and decision-making across the construction lifecycle. We are looking for a passionate Data Scientist to solve real-world business challenges using data, machine learning, and AI. Join a team shaping the future of construction through AI. At vConstruct, you'll work on impactful, real-world problems, collaborate with experienced AI professionals, and contribute to innovative solutions that transform one of the world's largest industries. vConstruct specializes in providing high-quality
About the Role
As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact.
Responsibilities
- ● Analyze structured and unstructured data to identify patterns, trends, and business opportunities.
- ● Perform exploratory data analysis (EDA), feature engineering, and data preparation.
- ● Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.
- ● Apply statistical techniques to solve business problems and validate model performance.
- ● Design and execute experiments to improve model accuracy and business outcomes.
- ● Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.
- ● Translate business requirements into scalable data science approaches.
- ● Contribute to Generative AI and advanced analytics initiatives where applicable.
- ● Document methodologies, model performance, and key findings.
- ● Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.
- ● Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.
- ● Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.
- ● Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.
- ● Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.
- ● Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.
- ● Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.
- ● Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.
- ● Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred.
Requirements
- ● Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
- ● 2-4 years of experience developing machine learning or data science solutions.
- ● Experience working on end-to-end data science projects in a business environment.
- ● Exposure to Generative AI, LLMs, RAG, or Agentic AI.
- ● Experience with Computer Vision or Natural Language Processing (NLP).
- ● Familiarity with cloud-based AI platforms.
- ● Knowledge of construction, engineering, manufacturing, or industrial domains.
- ● Participation in hackathons, research, Kaggle competitions, or open-source projects.
- ● Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.
⚡ Full Resume Sandbox Canvas