weekday-1
Senior Manager Applied Science
- Compensation
- Not disclosed
- Location
- Bengaluru, Karnataka, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- Lead, mentor, and manage a team of applied scientists, including senior scientists and team leads.
- Build and scale a high-performing team of 5-8 scientists; provide regular mentoring and establish clear career development paths.
- Set and promote best practices for research, development, code quality, and technical excellence
- Bachelor’s, Master’s, or Ph.D. in Data Science, Mathematics, Operations Research, Applied Mathematics, Computational Science, or a related field.
- Strong foundation in probability, statistics, and scientific problem-solving.
- 12+ years of hands-on experience in analytics, data science, and deep learning in business-critical environments.
- 3+ years of experience managing teams of 5 or more, preferably in applied science or cross-functional settings..
- Proven track record of delivering high-impact, data-driven solutions to complex business problems.
- Proficient in machine learning, deep learning, and explainable AI techniques, with the ability to communicate technical concepts to non-technical stakeholders.
- Experience developing and deploying state-of-the-art ML models tailored to specific business needs.
- Strong programming skills in Python and SQL; experience with feature engineering and deep learning pipelines.
- Familiarity with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
- Experience with computer vision (e.g., OpenCV) and natural language processing (e.g., spaCy).
- Skilled in the Design of Experiments for scientific testing and optimization.
Nice to have
- Demonstrated leadership experience in mentoring junior engineers and managing cross-functional projects.
- Proven innovation track record—solutions that delivered significant business impact or led to patents.
- Self-motivated, proactive problem-solver with strong project ownership.
- Domain knowledge or experience in recommendation systems, NLP, or computer vision.
- Strong collaboration skills across multiple teams, with an ability to manage conflict and align priorities.
Full description
**This role is for one of Weekday’s clients
Salary range: Rs 7000000 - Rs 12000000 (ie INR 70 - 120 LPA)**
Min Experience: 14+ years
Location: Bengaluru
JobType: full-time
We are seeking a passionate and dynamic Senior Manager of Applied Science to lead a team of applied scientists focused on building next-generation AI applications on the cloud. You will work closely with product, business, machine learning engineering, and customer success teams to align priorities, timelines, and deliverables. You will drive AI/ML development efforts and ensure customer engagements are supported with high-quality, scalable solutions that deliver measurable impact.
RequirementsKey Responsibilities
Leadership and Team Management
- Lead, mentor, and manage a team of applied scientists, including senior scientists and team leads.
- Build and scale a high-performing team of 5-8 scientists; provide regular mentoring and establish clear career development paths.
- Set and promote best practices for research, development, code quality, and technical excellence
Customer Engagement & Deliverable Management
- Collaborate with product and customer success teams to prioritize customer needs and align development timelines accordingly.
- Integrate customer feedback into development cycles, adapting priorities as business needs evolve.
- Act as the technical point of contact for customer engagements, setting clear expectations for deliverables and timelines.
- Ensure high-quality, on-time delivery of customer-facing AI/ML products that meet or exceed expectations.
Product Development & Strategy
- Lead the execution of the R&D and product roadmap, aligning ML initiatives with business goals and customer priorities.
- Drive product strategy in collaboration with product management, business development, and operations.
- Provide architectural and technical leadership on key projects, ensuring robustness, scalability, and flexibility.
Scalability & Best Practices
- Foster a high-performing team through agile workflows, continuous improvement, and strong delivery processes.
- Architect and implement scalable AI/ML solutions aligned with ASD's long-term vision, using cloud-native technologies and microservices.
- Oversee the full ML lifecycle-including data collection, model training, validation, deployment, and monitoring-ensuring effective team collaboration and resource management.
- Promote advanced techniques such as model compression, quantization, and distributed training.
- Champion industry best practices in development to ensure code quality, performance, and scalability.