Tredence Analytics Solutions - Manager - Data Science

Job Description :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 :- Masters 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. (ref:hirist.tech)