Job DescriptionJob Summary

NWe 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.

NKey Responsibilities

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

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- 15–19 years of overall experience, with at least 8-10 years in data science roles and 5+ years in project/program management.
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- Proven expertise in core Data Science, machine learning, deep learning, and AI.
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- Hands-on experience with programming languages such as Python, R, or Scala, and frameworks like TensorFlow, PyTorch, or scikit-learn.
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- Strong experience in managing data science delivery projects across multiple domains.
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- Proficiency in project management methodologies (Agile, Scrum, or Waterfall) and tools like Jira, MS Project, or Asana.
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- Excellent communication, problem-solving, and stakeholder management skills.
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- Advanced degree in Computer Science, Data Science, Mathematics, Statistics, or a related field;

MBA or PMP certification is a plus.

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nPreferred Skills

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

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- Opportunity to work at the forefront of data science innovation.
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- Lead impactful projectsin a collaborative and diverse work environment.
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- Access to cutting-edge tools, technologies, and a wealth of data resources.
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📌 Director Data Science (Karnataka)
🏢 Tredence
📍 Karnataka