Data Scientist

V CONSTRUCT LLC
United States
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Artificial Intelligence Data Analysis Computer Vision Cloud Engineering Cluster Analysis Computer Programming Data Cleansing Data Reduction Statistical Hypothesis Testing Python (Programming Language) Machine Learning
+15 more
Natural Language Processing Open Source Technology Recommender Systems SQL Databases Unstructured Data Feature Engineering Large Language Models Prompt Engineering Model Validation Kaggle Generative AI Information Technology Data Analytics Feature Selection Virtual Agents

Job description

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., Data Science & Machine Learning

  • 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.

AI Solution Development

  • 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.

Requirements

  • 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., * 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.

Nice to Have

  • 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.

Soft Skills

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

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.

About vConstruct :

vConstruct specializes in providing high-quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction., VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com, DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationships-DPR is a truly great company. For more information, please visit www.dpr.co

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