999 Coders Brain Jobs

Must have skills : SQL, ML, Statistics for min 3 years

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 :

- Bachelors or Masters 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.