Tredence - Senior Manager - Data Science

Senior Manager - Data Science | 12-16 Years of Experience

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We are seeking an experienced Senior Manager Data Science to lead and grow a high-performing team of Data Scientists and Analysts, while driving data-driven products, insights and AI/ML solutions. The ideal candidate will combine strong technical expertise in Machine Learning and Analytics with strategic thinking, business acumen and stakeholder management skills.

Key Responsibilities:

1. Leadership & Strategy:

• Lead, mentor and develop a high-performing team of Data Scientists and Analysts.
• Define and execute the Data Science roadmap aligned with business objectives.
• Partner with Product, Engineering and Business teams to identify and prioritize high-impact data science initiatives.
• Drive adoption of data-driven decision-making across the organization.

2. Technical Leadership:

• Oversee the design, development and deployment of Machine Learning models, predictive analytics, recommendation systems and AI solutions.
• Establish best practices across model development, feature engineering, validation, deployment and monitoring.
• Ensure data quality, reproducibility, scalability and governance across analytics initiatives.
• Provide technical guidance on complex Data Science and Machine Learning problems.

3. Business Impact:

• Translate complex analytical findings into actionable business insights and recommendations.
• Partner with senior leadership to define KPIs, success metrics and measurable business outcomes.
• Identify opportunities where Data Science and AI can improve business performance, customer experience and operational efficiency.
• Champion a data-first culture across the organization.

4. People Management:

• Hire, coach and retain high-quality Data Science and Analytics talent.
• Set goals, conduct performance reviews and provide continuous feedback.
• Build career development plans and foster a culture of learning, innovation and collaboration.
• Encourage knowledge sharing and adoption of industry best practices.

Required Qualifications:

• 12-16 years of overall experience, with at least 3-5 years of experience leading Data Science or Analytics teams.
• Strong understanding of Machine Learning, Statistics, Data Modeling and Advanced Analytics.
• Hands-on experience with Python, R and SQL.
• Experience with modern ML frameworks such as scikit-learn, TensorFlow or PyTorch.
• Proven ability to manage Data Science projects end-to-end, from problem definition through model deployment.
• Experience working with large-scale datasets and cloud platforms such as AWS, GCP or Azure.
• Strong stakeholder management, communication and presentation skills.

Preferred Qualifications:

• Masters or PhD in Computer Science, Data Science, Statistics, Mathematics or a related field.
• Experience building data products, MLOps platforms or AI-driven business solutions.
• Exposure to BI and visualization tools such as Tableau, Power BI or Looker.
• Knowledge of A/B testing, experimentation, causal inference and optimization techniques.

Key Attributes:

• Strategic thinker with strong hands-on technical expertise.
• Strong business acumen and problem-solving ability.
• Effective people leader with a passion for developing talent.
• Data-driven, curious and innovative mindset.
• Ability to influence senior stakeholders and drive data-led transformation.