Manager - Data Scientist

Seedworks International; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Seedworks International in Hyderabad, India, seeks an experienced Data Scientist Manager to drive digital transformation through data analytics, AI, and automation. You will define data strategy, oversee data engineering, build dashboards, and develop predictive models to optimize operations.

The role requires leading cross-functional teams, translating business problems into analytical solutions, and delivering scalable data solutions that improve efficiency and business outcomes.

Qualifications

• 9+ years in data science, analytics, or digital transformation.
• Experience in building dashboards, data models, and automation solutions.
• Agri Business or FMCG experience preferred.
• Masters degree preferred.

Responsibilities

• Data Strategy: Develop and execute the data science roadmap and align with business goals.
• Data Engineering & Management: Design and optimize data pipelines and data ingestion frameworks; ensure data quality.
• Data Analytics & Automation: Build predictive models, dashboards, and automate decision-making using real-time analytics.
• Visualization & Reporting: Create interactive dashboards and monitor KPIs, ROI and performance.
• Cross-Functional Collaboration: Work with departments, project teams, and vendors to translate business problems into analytical solutions.
• Continuous Improvement: Stay updated with trends in Data Science, AI, and Digital Transformation.

Skills

Data analytics

Machine learning

Automation

AI

Data visualization

Education

Bachelor's degree in CS/ Electronics/ Statistics/ Mathematics

Master's degree preferred

Tools

ETL pipelines

Dashboard tools

BI tools

Job description

We are looking for an experienced Data Scientist Manager to drive digital transformation by leveraging data analytics, machine learning, and automation to enable real-time, data-driven decision-making across business functions. The role involves building data strategy, overseeing data engineering processes, developing dashboards, and implementing advanced analytics models to improve operational efficiency and business outcomes.

Key Responsibilities:

Data Strategy

• Support the development and execution of the organizations data science roadmap.
• Identify opportunities to integrate advanced analytics and AI into business processes.
• Collaborate with leadership to align data initiatives with business goals.

Data Engineering & Management

• Design and optimize data pipelines, ETL processes, and data ingestion frameworks.
• Manage data extraction, transformation, validation, and cleansing from multiple sources.
• Ensure data quality, governance, and process efficiency.

Data Analytics & Automation

• Analyze business requirements and develop data-driven dashboards and reports.
• Build predictive models, algorithms, and recommendation systems.
• Automate decision-making using real-time analytics and AI/ML solutions.
• Develop scalable data models to support strategic business insights.

Visualization & Reporting

• Create interactive dashboards using BI tools.
• Monitor KPIs, ROI, and performance metrics.
• Present insights to senior stakeholders and cross-functional teams.

Cross-Functional Collaboration

• Work closely with departments, project teams, and vendors.
• Translate business problems into analytical solutions.
• Support digital innovation and ecosystem development.

Continuous Improvement

• Stay updated with emerging trends in Data Science, AI, and Digital Transformation.
• Drive a culture of innovation, experimentation, and data-driven thinking.

Educational Qualification

• Bachelors in Computer Science / Electronics / Statistics / Mathematics (Masters preferred).

Experience

• 9+ years of experience in Data Science, Data Analytics, or Digital Transformation.
• Experience in Agri Business or FMCG industry is preferred.
• Proven experience in building dashboards, data models, and automation solutions.