Digital Mold Data Scientist and Manufacturing Analytics Specialist (Remote)

Digital Mold Data Scientist and Manufacturing Analytics Specialist Job Summary COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program. This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance. Key Responsibilities Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.

Establish reliable and repeatable datasets for analytics, reporting, and decision-making. Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings. Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions. Analyze maintenance and operational performance using measures such as: Mean Time to Repair or MTTR Mean Time Between Failures or MTBF Overall Equipment Effectiveness or OEE Preventive and corrective maintenance performance Tool reliability, condition, quality, utilization, and lifecycle indicators Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.

Support continuous improvement, operational excellence, and process optimization initiatives. Align analyses and recommendations with client goals, priorities, and expected business outcomes. Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data. Present findings clearly to technical and nontechnical stakeholders. Help establish consistent data definitions, analytical methods, and reporting standards.

Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate. Learn the COAST software environment and relevant client or third-party systems. Help map and connect tool-specific data across systems so that information can be aligned and used consistently. Required Qualifications Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.

Strong data science and analytics experience involving large, complex, or multi-source datasets. Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management. Strong statistical and analytical problem-solving skills. Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions. Ability to analyze data and translate findings into clear, practical business or operational recommendations.

Experience working with technical, engineering, operational, or business stakeholders. Strong continuous-improvement and process-optimization mindset. Ability to communicate clearly in English with global teams and client stakeholders. Ability to work independently, manage priorities, and investigate unclear or incomplete data. Strong attention to detail and commitment to data accuracy. Preferred Qualifications Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.

Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts. Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs. Experience in plastics manufacturing or packaging, including any of the following: Injection molding B