Manager-Data Science

Cognizant; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Cognizant in Chennai, India is seeking a Manager-Data Science to lead analytics initiatives and drive data-driven decision making across the organization. You will manage data science projects, oversee predictive modeling, ML, and statistical analyses, and translate complex data into actionable business insights for stakeholders.

This role requires strong collaboration with IT and data engineering teams, mentoring, and staying current with the latest trends in analytics to deliver impactful

Qualifications

• Strong expertise in analytics including predictive modeling, statistical analysis and machine learning.
• Translate complex data into actionable business strategies.
• Familiar with data visualization tools and communicating findings.
• Work with large and complex datasets.
• Collaborate with cross-functional teams.
• Proven track record of managing data science projects.
• Programming experience in Python, R or SQL.
• Familiar with cloud-based analytics platforms and tools.
• Experience in mentoring teams.
• Stay updated with latest data science trends.
• Strong business acumen to align initiatives with goals.
• Attention to detail and quality in data science work.

Responsibilities

• Lead the development and implementation of data science strategies to address complex business challenges and opportunities.
• Oversee design and execution of predictive models, machine learning algorithms and analyses.
• Provide guidance to the team in identifying trends and correlations within large datasets.
• Collaborate with stakeholders to translate requirements into analytical solutions.
• Ensure the accuracy, reliability, and scalability of data science models.
• Drive innovation by exploring new tools and methodologies in data science.
• Monitor and evaluate the performance of data science projects against goals.
• Facilitate knowledge sharing and training sessions to enhance analytical capabilities.
• Partner with IT and data engineering teams to integrate solutions.
• Develop and maintain documentation for data science processes and outcomes.
• Advocate for data-driven decision-making across the organization.
• Manage project timelines, resources and deliverables for successful execution.

Skills

Analytics

Predictive modeling

Statistical analysis

Machine learning

Data visualization

Cross-functional collaboration

Business acumen

Problem solving

Attention to detail

Mentoring

Tools

Python

R

SQL

Cloud platforms

Job description

Job Summary

This role involves managing data science projects driving analytics strategies and delivering actionable insights to support business decisions. The Manager-Data Science will collaborate with cross-functional teams to optimize processes and enhance organizational performance through data-driven solutions.

Responsibilities

• Lead the development and implementation of data science strategies to address complex business challenges and opportunities.
• Oversee the design and execution of predictive models machine learning algorithms and statistical analyses to derive actionable insights.
• Provide guidance to the team in identifying trends patterns and correlations within large datasets to support decision-making processes.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Ensure the accuracy reliability and scalability of data science models and solutions.
• Drive innovation by exploring new tools techniques and methodologies in the field of data science and analytics.
• Monitor and evaluate the performance of data science projects ensuring alignment with organizational goals and objectives.
• Facilitate knowledge sharing and training sessions to enhance the analytical capabilities of team members and stakeholders.
• Partner with IT and data engineering teams to ensure seamless integration of data science solutions into existing systems.
• Develop and maintain documentation for data science processes methodologies and outcomes.
• Advocate for data-driven decision-making across the organization by showcasing the impact of analytics and insights.
• Manage project timelines resources and deliverables to ensure successful execution of data science initiatives.

Qualifications

• Possess strong expertise in analytics including predictive modeling statistical analysis and machine learning techniques.
• Demonstrate proficiency in analytics and insights with the ability to translate complex data into actionable business strategies.
• Have a solid understanding of data visualization tools and techniques to effectively communicate findings.
• Exhibit excellent problem-solving skills and the ability to work with large and complex datasets.
• Showcase strong collaboration and communication skills to work effectively with cross-functional teams.
• Hold a proven track record of managing data science projects and delivering impactful results.
• Display knowledge of programming languages such as Python R or SQL for data manipulation and analysis.
• Demonstrate familiarity with cloud-based analytics platforms and tools.
• Have experience in mentoring and guiding teams to achieve their full potential.
• Show commitment to staying updated with the latest trends and advancements in data science and analytics.
• Possess a strong business acumen to align data science initiatives with organizational goals.
• Exhibit attention to detail and a focus on quality in all aspects of data science work.

Certifications Required

Certified Analytics Professional (CAP) Google Data Analytics Professional Certificate