Data Scientist

Data Scientist

Experience:

📍 Locations: Noida

Must Have Required Skills:

Minimum 4+year of experience in data science roles with exposure to: AI/ML pipelines, predictive modelling, Optimization techniques or industrial scheduling .

• Proficiency in Python, especially with: pandas, numpy, scikit-learn ortools, pulp, cvxpy or other optimization libraries, matplotlib, plotly for visualization.
• Time-series analysis, sensor data, or anomaly detection, Manufacturing execution systems (MES), SCADA, PLC logs, or OPC UA data, Simulation tools (SimPy, Arena, FlexSim) or digital twin technologies.
• Solid understanding of: Production planning & control processes (dispatching rules, job-shop scheduling, etc.), Machine Learning fundamentals (regression, classification, clustering)
• Familiarity with version control (Git), Jupyter/VSCode environments, and CI/CD principles 
• Exposure to containerization (Docker) and model deployment (FastAPI, Flask)
• Understanding of lean manufacturing principles, Theory of Constraints, or Six Sigma

Key Responsibilities:

• Engage in hands-on data science and machine learning tasks.

• Manage data, including data fetching, storage, and organization.

• Interpret and analyze data problems to break them down and find solutions.

• Collaborate with internal and external stakeholders to identify opportunities to use company data for business solutions.

• Utilize predictive modelling to achieve desired business outcomes while maintaining a smooth user experience.

• Coordinate with different functional teams to implement models and monitor results.

• Identify relevant data sources and datasets to support client business needs, including both structured and

unstructured data.

• Analyze data from company databases to optimize product development, marketing strategies, and business

tactics.

• Assess the effectiveness and accuracy of new data sources and data collection techniques.

• Spend time at client locations to gain an in-depth understanding of processes and work with client teams to

develop solutions.

• Identify practical challenges related to industrial operations, user behaviour, financial considerations, and policy constraints to propose solutions accepted by clients.
• Knowledge of machine learning algorithms and statistical methods, particularly those applicable to time-series analysis, for example ARIMA, SARIMAX, LSTM etc.

• Hands-on experience in data cleansing, transformation, and feature engineering.

Qualifications:

Bachelor’s or Master’s degree in: Data Science, Computer Science, Industrial Engineering, Operations Research, Applied Mathematics, or equivalent. 

🌐 To know more about us Visit : https://algo8.ai/

📧 Interested Applicants can share the resume: smita.choudhury@algo8.ai