Data Scientist – Manufacturing AI (Python, Time-Series & Machine Learning) | IndiCog Tech | Remote

IndiCog Tech; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

IndiCog Tech in the United States is seeking a Data Scientist – Manufacturing AI to lead time-series data analysis, predictive maintenance, anomaly detection, and industrial IoT data pipelines in a remote, full-time role. You will design end-to-end AI solutions for manufacturing environments, build models in Python using NumPy, Pandas, and Scikit-Learn, and collaborate with engineers and CTO founders.

This position offers growth, international exposure, and competitive compensation within a

Qualifications

• BE/BTech in CS, DS, EE or related field.
• 1–2 years of data science and ML experience.
• Strong Python and data science libraries (NumPy, Pandas, Scikit-Learn).
• Experience with time-series data, forecasting, and anomaly detection.
• Authorized to work remotely in the US.

Responsibilities

• Design, develop, train, and deploy ML models for manufacturing environments.
• Analyze high-frequency time-series data, sensor feeds, and telemetry logs.
• Implement forecasting models, anomaly detection, and process optimization.
• Build scalable data preprocessing and feature engineering pipelines in Python.
• Collaborate with manufacturing engineers, IoT architects, and software teams.
• Maintain documentation, model architecture, experiments, and deployment runbooks.

Skills

Python programming

Time-series analysis

NumPy

Pandas

Scikit-Learn

Education

Bachelor of Engineering / Bachelor of Technology in CS/DS/EE

Tools

Jira

Confluence

GitHub Enterprise

Job description

Position Summary

Driving advanced industrial data analytics, machine learning solutions, and manufacturing AI innovation across remote operations, IndiCog Tech is actively seeking an accomplished Data Scientist – Manufacturing AI for a permanent full-time professional engagement. In this vital technical leadership role, you will take full operational, tactical, and technical ownership of time-series data analysis, predictive maintenance models, anomaly detection algorithms, and industrial IoT data pipelines. Bringing a Bachelor of Engineering or Bachelor of Technology degree and 1 to 2 years of progressive professional experience in data science and machine learning, you will empower an elite industrial AI enterprise to achieve uncompromised operational transparency, secure sensor data intelligence, and superior digital transformation outcomes. This prestigious career opportunity offers competitive remuneration, international enterprise exposure, and professional growth within a leading industrial artificial intelligence consultancy enterprise.

Detailed Job Description

As a Data Scientist – Manufacturing AI supporting IndiCog Tech on a remote professional full-time basis, you will take full operational, tactical, and technical ownership of industrial data processing, algorithmic model training, forecasting architectures, and cross-functional engineering collaboration. Your day-to-day responsibilities include building end-to-end industrial data and AI solutions to accelerate digital transformation in manufacturing environments, designing and implementing robust machine learning models utilizing Python, statistical analysis, and advanced forecasting techniques, analyzing high-frequency time-series data, sensor feeds, and anomaly detection logs, collaborating proactively with manufacturing engineers, IoT specialists, and software developers, and interacting directly with founders and chief executive officers like Rama Shankar Tiwari.

Key Responsibilities

• Design, develop, train, and deploy advanced machine learning models and predictive analytics solutions for manufacturing environments.
• Analyze complex, high-frequency industrial time-series datasets, operational sensor feeds, and equipment telemetry logs.
• Implement robust forecasting algorithms, anomaly detection mechanisms, and process optimization models for industrial systems.
• Build scalable data preprocessing pipelines, feature engineering frameworks, and evaluation harness datasets utilizing Python.
• Collaborate proactively with manufacturing plant engineers, IoT architects, and software development squads.
• Ensure strict adherence to data privacy standards, industrial security protocols, and machine learning model validation benchmarks.
• Scale machine learning inference and industrial data processing infrastructure to handle real-time sensor streams.
• Maintain meticulous technical documentation, model architecture blueprints, experiment tracking logs, and deployment runbooks.

Required Qualifications & Skills

• Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) degree in Computer Science, Data Science, Electrical Engineering, or related technical discipline.
• Minimum of 1 to 2 years of progressive professional hands-on experience in data science, machine learning, and statistical analysis.
• Strong, demonstrable operational proficiency in Python programming and core data science libraries (NumPy, Pandas, Scikit-Learn).
• Comprehensive working knowledge and practical experience with time-series data analysis, statistical modeling, and forecasting.
• Deep practical experience with anomaly detection algorithms and manufacturing process sensor data interpretation.
• Exceptional analytical problem-solving aptitude, technical diagnostic capabilities, and professional stakeholder communication skills.
• Mandatory legal work authorization and physical availability for remote professional operations.

Nice-to-Have Skills

• Specialized professional experience in predictive maintenance algorithms, process optimization, or industrial IoT (IIoT) platforms.
• Hands-on familiarity with signal processing techniques and vibration analysis for rotating machinery diagnostics.
• Prior professional working experience supporting manufacturing plants, smart factory initiatives, or industrial automation companies.
• Experience utilizing enterprise agile tracking and collaboration platforms (Jira, Confluence, GitHub Enterprise).
• Active participation in industrial AI open-source communities, data science meetups, or manufacturing research forums.

Application Information

• Salary/Rate: Market Competitive / Enterprise Manufacturing AI Package
• Work Schedule: Remote Professional Operations
• Deadline: Open until filled (Urgent Remote Data Scientist Manufacturing AI Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Employment (Remote)

Recruitment Pro Tip

When applying for this Data Scientist – Manufacturing AI position through IndiCog Tech, ensure your resume explicitly highlights your time-series forecasting portfolio, industrial sensor data experience, and machine learning expertise.