Delivery Head - Data Science

Jobnoc; Gurugram District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Jobnoc in India is seeking a Director to lead Data Science delivery, combining deep DS methods with strong project management. You will drive end-to-end DS projects from concept to deployment, applying analytics, ML, and AI to solve business problems and deliver measurable outcomes.

You will oversee a team of data scientists, data engineers, and analysts, mentor talent, and align initiatives with strategic goals.

Qualifications

• 13–21 years total experience, with 8–10 years in data science
• 5+ years in project or program management
• Hands-on with Python/Scala/R and ML frameworks
• Experience managing DS delivery across domains
• Advanced degree; MBA/PMP a plus

Responsibilities

• Lead end-to-end data science projects from concept to deployment
• Apply analytics, ML, AI to solve business problems
• Ensure quality, scalable model development and validation
• Oversee timelines, budgets, and quality metrics
• Mentor data scientists, engineers, and analysts
• Communicate insights to technical and non-technical audiences
• Define and implement DS strategy aligned with goals

Skills

Data science leadership

Project management

Team leadership

Stakeholder engagement

Strategic vision

Python

R

Scala

Cloud platforms

Communication

Agile/Scrum

Education

Advanced degree in Computer Science/Data Science/Math/Stats

MBA or PMP certification

Tools

Jira

MS Project

Asana

Tableau

Power BI

TensorFlow

PyTorch

scikit-learn

Hadoop

Spark

Job description

Job Overview

We are seeking a dynamic and results-driven Director to lead Data Science (DS) delivery projects, combining deep expertise in data science methodologies with strong project management skills. The ideal candidate will have a strong track record of driving data-driven decision-making, managing end-to-end delivery of complex projects, and leading teams of data scientists and analysts in achieving business outcomes.

Key Responsibilities

1. Data Science Leadership:
   • Drive end-to-end execution of data science projects, from conceptualization to deployment.
   • Apply advanced analytics, machine learning, and AI techniques to solve complex business problems.
   • Ensure high-quality and scalable solutions by applying best practices in model development and validation.
2. Project Management:
   • Oversee project delivery timelines, budgets, and quality metrics.
   • Act as the bridge between business stakeholders and technical teams, translating business needs into technical requirements.
   • Identify and mitigate risks in project execution while maintaining alignment with strategic objectives.
3. Team Leadership:
   • Lead and mentor a team of data scientists, data engineers, and analysts.
   • Foster a culture of innovation, collaboration, and continuous learning within the team.
   • Ensure the team is equipped with the right tools, techniques, and training to meet evolving business needs.
4. Stakeholder Engagement:
   • Collaborate with senior leadership to identify opportunities where data science can create business value.
   • Communicate complex technical solutions and insights in a clear, actionable manner to both technical and non-technical audiences.
   • Build and maintain strong relationships with internal and external stakeholders.
5. Strategic Vision:
   • Define and implement the data science strategy in alignment with organizational goals.
   • Stay updated with emerging trends and technologies in data science, ensuring their adoption within the team where applicable.
   • Drive thought leadership initiatives and contribute to organizational data maturity.

Required Qualifications

• 13-21 years of overall experience, with at least 8-10 years in data science roles and 5+ years in project/program management.
• Proven expertise in advanced analytics, machine learning, deep learning, and AI.
• Hands-on experience with programming languages such as Python, R, or Scala, and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong experience in managing data science delivery projects across multiple domains.
• Proficiency in project management methodologies (Agile, Scrum, or Waterfall) and tools like Jira, MS Project, or Asana.
• Excellent communication, problem-solving, and stakeholder management skills.
• Advanced degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; MBA or PMP certification is a plus.
• Experience in deploying data science solutions in cloud environments (AWS, Azure, GCP).

Preferred Skills

• Experience in deploying data science solutions in cloud environments (AWS, Azure, GCP).
• Familiarity with big data technologies like Hadoop, Spark, and Hive.
• Experience with visualization tools like Tableau, Power BI, or similar.
• Strong business acumen with the ability to align data initiatives to strategic objectives.

(ref:hirist.tech) .