Data Scientist- Husky( India ) Guindy,Chennai

Husky Injection Molding Systems Ltd.; Chennai District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Husky Technologies TM is seeking a DST Data Scientist to transform enterprise data into actionable insights. You will partner with data engineers, architects, and analysts to develop analytics, ML models, and enterprise reporting using Azure, Databricks, Microsoft Fabric, and Power BI.

You will design scalable analytics solutions, improve operational efficiency, and support data governance and enterprise data management strategy across the organization.

Qualifications

• Bachelor's degree in a relevant field plus 5–10 years in data science or analytics.
• Experience delivering analytics and reporting solutions in manufacturing, industrial, or global enterprise environments.
• Experience working with cross-functional international teams.
• Strong knowledge of modern analytics platforms and data governance.

Responsibilities

• Identify business opportunities through advanced analytics, ML, and AI.
• Design, develop, validate, and deploy predictive models and dashboards.
• Build data pipelines using Azure, Databricks, and SQL technologies.
• Collaborate with stakeholders to define KPIs and reporting requirements.
• Deploy and monitor ML models, ensuring governance and explainability.
• Support enterprise data management strategy and data quality initiatives.

Skills

Data science

Statistical analysis

Analytics

Education

Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or related discipline

Tools

Databricks Lakehouse Platform

Unity Catalog

Structured Streaming

Semantic Models

Snowflake

Fabric Warehouse

Kimball Dimensional Modeling

Enterprise Data Warehousing

Data Quality Management

Job description

Job Description

Id: 20970

Type: FullTime

AtHusky Technologies TM , our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.

Husky Technologies TM has a strong foundation built on innovation, close customer relationships and a unique culture and values. We are dedicated to offering our customers the highest quality products and services and are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy. We are a leader in developing state-of-the-art technology and it is this technology base that uniquely positions us to serve customers who seek differentiation through solutions that provide speed, flexibility and maximum productivity. This capability is at the core of our mission and competitive strategy.

Husky Technologies TM offers a wealth of opportunity for personal growth and development. Most importantly,Husky Technologies TM offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a company taking on new challenges and for the right people this means exceptional career development opportunities, the chance to be part of a team that is the best in the world at what we do and the experience that comes from working in an environment that demands constant transformation and innovation.

Husky Technologies TM is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive contribution – then we want you to join theHusky Technologies TM team!

Job Purpose

The DST Data Scientist is a key member of Husky's global Enterprise Data & Analytics organization, responsible for transforming enterprise data into actionable business insights, predictive intelligence, and AI-driven solutions. This role partners with business stakeholders, data engineers, architects, and analysts to design, develop, and deploy advanced analytics, machine learning models, and enterprise reporting solutions.

The Data Scientist leverages modern cloud-based data platforms including Azure, Databricks, Microsoft Fabric, Power BI, and Data Vault methodologies to support Husky's Enterprise Data Management strategy. The role contributes to the development of scalable analytical solutions that improve operational efficiency, product quality, customer experience, and strategic decision-making across the organization

Key Responsibilities & Key Success Metrics

Advanced Analytics & Data Science

• Identify business opportunities and challenges that can be addressed through advanced analytics, machine learning, and artificial intelligence.


• Design, develop, validate, and deploy predictive and prescriptive models.


• Develop forecasting, anomaly detection, optimization, and classification models.


• Apply statistical analysis and machine learning techniques to solve complex business problems.


• Create reusable analytical assets and data science accelerators.


• Profile, assess, transform, and prepare enterprise data for analytical use.


• Develop and maintain data pipelines using Azure Data Factory, Databricks, Microsoft Fabric, and SQL-based technologies.


• Assist in the design and implementation of Enterprise Data Vault and Analytical Data Models.


• Support data integration initiatives spanning ERP, CRM, Manufacturing, IoT, and external data sources.

Data Visualization & Business Intelligence

• Create analytical dashboards and executive reporting solutions using Power BI.


• Translate complex analytical findings into business-focused recommendations.


• Collaborate with business stakeholders to define KPIs, metrics, and reporting requirements.


• Present analytical insights to technical and non-technical audiences.

AI & Machine Learning Operations (MLOps)

• Deploy and monitor machine learning models in production environments.


• Implement model versioning, monitoring, governance, and performance management.


• Support MLOps practices utilizing Databricks MLflow, Azure Machine Learning, Git, and CI/CD pipelines.


• Ensure model explainability, reproducibility, and governance standards are maintained.


• Support Husky's Enterprise Data Management strategy and roadmap.


• Contribute to Data Governance, Data Quality, Metadata Management, and Master Data initiatives.


• Partner with Data Architects and Data Governance teams to ensure data consistency and compliance.


• Support implementation of enterprise data standards and best practices.

Stakeholder & Project Engagement

• Facilitate requirements gathering and business analysis sessions.


• Act as a consultant between business teams and technical delivery teams.


• Participate in enterprise analytics and digital transformation initiatives.


• Support project delivery through analysis, design, testing, deployment, and user adoption activities.

Key Success Metrics

Delivery Metrics

• % of analytics projects delivered on time and within scope.


• Number of production-ready analytical solutions delivered annually.


• Reduction in manual reporting effort through automation.

Data Quality Metrics

• Data quality score improvement across supported domains.


• Reduction in data-related incidents and defects.


• Accuracy and completeness of analytical datasets.

Business Value Metrics

• Measurable business benefits generated from analytical solutions.


• User adoption rate of dashboards and analytical tools.


• Increase in business process efficiency supported by analytics.

AI/ML Metrics

• Predictive model accuracy and performance.


• Machine learning model deployment success rate.


• Percentage of models actively monitored through MLOps processes.

Stakeholder Satisfaction

• Business stakeholder satisfaction scores.


• Reduction in reporting turnaround time.


• Number of self-service analytics capabilities enabled.


• Supporting program manager in delivery of the overall advanced analytical solutions


• Ensuring that quality standards are met


• Supporting Enterprise Data Management Strategy

Qualifications

Education

• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related discipline.


• Master's Degree considered an asset.

Experience

• 5-10 years of experience in Data Science, Analytics, Data Engineering, Business Intelligence, or Enterprise Data Management.


• Experience delivering analytics and reporting solutions in manufacturing, industrial, or global enterprise environments.


• Experience working with cross-functional international teams.

Technical Skills

Data Science & Analytics

• Statistical Analysis


• Feature Engineering


• Databricks Lakehouse Platform

Databricks Expertise

• Unity Catalog


• Structured Streaming


• Semantic Models

Database Technologies

• Snowflake (asset)


• Fabric Warehouse


• Kimball Dimensional Modeling


• Enterprise Data Warehousing


• Data Quality Management

DevOps & DataOps

Husky Technologies TM offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are committed to equal employment opportunity and respect, value and welcome diversity in our workplace.Husky Technologies TM also values being a great place to work and strives to maintain a safe workplace. Accordingly,Husky Technologies TM conditions all offers of employment on satisfactory completion of background checks. No agency or telephone inquiries please.