Data Science Manager
First seen by Alion on Sep 25, 2026.
Role Overview :
We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and solutions.
The ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, with proven experience in translating business challenges into scalable analytical solutions.
Key Responsibilities :
Leadership & Strategy :
- Lead, mentor, and grow a high-performing data science team.
- Define and execute the data science roadmap aligned with business goals.
- Collaborate cross-functionally with Product, Engineering, and Business units to prioritize projects and deliver measurable impact.
Technical Execution :
- Oversee the design and deployment of predictive models, recommendation systems, and advanced analytics solutions.
- Drive the adoption of best practices in model development, feature engineering, validation, and monitoring.
- Ensure data quality, reproducibility, and governance across all analytics initiatives.
Business Impact :
- Translate complex analytical findings into clear business insights and recommendations.
- Partner with leadership to define KPIs and measure the success of data-driven initiatives.
- Evangelize a data-first culture within the organization.
People Management :
- Hire, coach, and retain top talent in data science and analytics.
- Conduct performance reviews and set clear goals for team members.
- Foster continuous learning, innovation, and collaboration.
Required Qualifications :
- 8 - 14 years of overall experience, with at least 3 - 5 years leading data science or analytics teams.
- Strong understanding of machine learning, statistics, and data modeling.
- Hands-on experience with Python, R, SQL, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Proven ability to manage projects end-to-end - from problem definition to model deployment.
- Experience working with large-scale datasets and cloud platforms (AWS, GCP, or Azure).
- Excellent communication and stakeholder management skills.
Preferred Qualifications :
- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Experience in building data products, MLOps, or AI-driven business solutions.
- Exposure to BI tools and data visualization (Tableau, Power BI, Looker).
- Familiarity with experimentation (A/B testing, causal inference) and optimization techniques.
Key Attributes :
- Strategic mindset with hands-on technical expertise.
- Strong business acumen and problem-solving orientation.
- Empathetic leadership and a passion for developing people.
- Curious, data-driven, and committed to innovation.
Skills
Data Science, Machine Learning, Python, SQL, Artificial Intelligence, R, Tensorflow, PyTorch, Data Scientist