Autosar Developer

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
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing

Location: Bangalore, India

Experience: 3 Years

Company: Tradelab Technologies

About Tradelab Technologies:

Tradelab Technologies is a leading fintech solutions provider building high-performance trading platforms, brokerage infrastructure, and financial technology products. Our systems handle real-time market data, order management, and analytics for clients across the trading ecosystem.

Role Overview:

We are looking for a skilled DevOps Engineer to manage, optimize, and scale our trading infrastructure. The ideal candidate should have strong experience with CI/CD pipelines, cloud infrastructure, containerization, and system automation, with an emphasis on reliability and performance in production environments.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for automated deployment and monitoring.
• Manage and scale cloud infrastructure (AWS, GCP, or Azure) for high-availability trading systems.
• Work closely with development and QA teams to ensure smooth integration and release processes.
• Automate provisioning, configuration, and monitoring using tools like Ansible, Terraform, or similar.
• Implement logging, alerting, and monitoring systems for proactive issue detection.
• Ensure system reliability, security, and performance in production environments.
• Manage version control and containerized environments (Git, Docker, Kubernetes).
• Troubleshoot infrastructure issues and optimize deployment performance.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent.
• Minimum 3 years of experience in DevOps, SRE, or Infrastructure Engineering roles.
• Strong hands-on experience with AWS / GCP / Azure.
• Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Expertise in Docker, Kubernetes, and container orchestration.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or CloudFormation.
• Proficient with Linux administration, shell scripting, and Python or Go for automation.
• Knowledge of monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Familiarity with networking, security, and load balancing concepts.

Nice-to-Have Skills:

• Experience working with trading or low-latency systems.
• Knowledge of message queues (Kafka, RabbitMQ).
• Exposure to microservices architecture and API management.
• Experience with incident management and disaster recovery planning.

Why Join Tradelab Technologies:

• Be part of a fast-paced fintech environment working on scalable trading infrastructure.
• Collaborate with talented teams solving real-world financial technology challenges.
• Competitive pay, flexible work culture, and opportunities for growth.

Position: SCM Head (leather, trims, hardware, and raffia)

Location: IMT Manesar

Experience: 10+ year in SCM in Bag manufacturing Industry

Salary: Negotiable

Industry: Fashion/ apparel/ leather

Education: Bachelors/Masters degree in Supply Chain Management, Logistics, or related field.

We are looking for a seasoned Supply Chain Manager with 10-15 years of experience. The ideal candidate will possess strong knowledge of leather, trims, hardware, and raffia. You will lead our supply chain team, developing and implementing strategies to optimize efficiency, reduce costs, and enhance overall supply chain resilience.

Key Responsibilities:

·        Develop and execute comprehensive supply chain strategies aligned with business revenue.

·        Lead and build a high-performing supply chain team.

·        Negotiate contracts and prices with suppliers.

·        Manage inventory levels, ensuring optimal stock levels and minimizing waste.

·        Implement and maintain robust supply chain processes and systems.

·        Identifying opportunities for cost savings and process improvements.

·        Collaborate with internal teams (production, procurement, logistics) to ensure seamless operations.

·        Ensure compliance with regulatory requirements and industry standards.

Requirements:

·        10-15 years of experience in Supply Chain Management, preferably in bag manufacturing or similar industries.

·        Strong knowledge of leather, trims, hardware, and raffia.

·        Proven leadership and team management skills.

·        Action-oriented approach with excellent problem-solving abilities.

·        Excellent communication, negotiation, and interpersonal skills.

·        Strong analytical and strategic thinking skills.

·        Ability to work under pressure and meet deadlines.

Certifications:

- APICS, CSCP, or similar certifications preferred.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 8 8 5 1O1 8 1 6 2

Website: www.glansolutions.com

Click for more jobs- https://glansolutions.com/jobs.php

Google search: Glan Management Consultancy

Work on improving the flows and overall architecture of the core product at OneCard and OneScore app. 

What you will do:

• Execute all product design flows and visual design stages from concept to final hand-off to engineering.
• Conceptualize original mobile design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Create seamless navigation flows and architecture to improve discoverability, engagement and conversions. 
• Present and defend designs and key deliverables to peers and executive-level stakeholders.
• Establish and promote design guidelines, best practices, and standards.
• Leverage user testing to make product improvements.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

Proven 5-6 years of work experience as a Product Designer. Must have worked on digital products. Familiar with user research practices. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable Product design skills with a strong portfolio is a must.
• Proficiency in Adobe XD, Illustrator and Figma is a must.
• Design eye-catching mobile app experiences for our app experiences.
• Up-to-date with the latest Mobile app trends, techniques, and technologies.
• BS/MS in Human-Computer Interaction, Interaction Design, or Visual Arts is a plus.

Roles & Responsibilities :

• You’ll work as part of the software engineering team along with other front-end, back-end, mobile app, QA teams & you will also closely work with the founder.
• You should be able to take the ownership of a project end to end.
• Your primary focus will be to build, implement & maintain the complete back-end stack of the product.
• You will create production grade code and will implement the solutions which run bug free.
• Participate in product development discussions and product development road-maps.
• Collaborate with members across departments to identify and build on improvements to product, process and systems.
•  
• Required Experience and Qualifications:

• 2 to 6 years of software development experience.
• Experience of working on application architecture design will be preferred.
• Experience of working in at least 1 or 2 projects, managing or leading the entire tasks.
• Experience in Docker/Kubernetes, Agile methodologies & CI/CD  automation process.
• Knowledge of Queueing technologies like Kafka, RabbitMQ, ActiveMQ, Version control using Git.
• Experience in microservices architecture, in-memory systems like Redis and basic knowledge of Linux/Unix systems.
• Experience of building applications processing large volumes of streaming data will be preferred.
• Experience from a middle size company or from a startup will be preferred.
• BE/MCA/MSc in Computers/Information technology with a good academic record.

Key Skills:

• Java, & Spring boot
• Hibernate
• Spring Boot JPA
•  Object Oriented Programming
• MySQL & MongoDB
• Jenkins

Perks & Benefits:

• Great learning, innovative and development platform.
• Remote work and flexible timings.
• Reimbursement of the online learning courses on certification.
• Medical insurance coverage for you and the dependence.
• Five Working days per week.

• Looking for an expert JavaScript developer who is highly skilled with Vue.js and Vuex(redux).
• Someone with the ability to create testable, reusable, and scalable code.
• Someone very good at understanding requirements and developing services & features quickly.
• Good communication skills & team player, who engages with all stakeholders of the project to add clarity for all aspects of the ongoing software development project.

Your responsibilities will include:

• Collaborate with project stakeholders, gather requirements, and develop the UI application.
• Create reusable, effective, and scalable VueJs Code.
• Implement front-end components with Vue.js and Vuex(redux) framework.
• Ensure developing robust, secure, modular, and maintainable code.
• Translate technical requirements into code.
• Build responsive UI screens with cross-browser & cross-platform support.
• Test and update web applications.

Key Requirements :

• Degree in Computer Science, Engineering or a related field.
• Highly proficient with the JavaScript language and its modern ES6+ syntax and features.
• Experience with the Vue.js ecosystem, including Vue CLI, Vuex, Vue Router, and Nuxt.js
• Should be having strong knowledge in HTML, HTML DOM, Bootstrap, Stylus, Sass, Less, CSS, and npm for builds.
• Good problem solving, decision making, and prioritization