Opportunity |Senior Lead Data Scientist | Tavant India

Dear candidate,

We found your profile suitable for our current opening, please go through the below JD for better understanding of the role,

Job Description :

Role : Senior Lead Datasceintist

Exp : 18 - 25years

Mode of work : Hybrid Model

Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata

Role Overview:

We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership, and technical proficiency across classical machine learning, deep learning, and generative AI. You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions.

Roles & Responsibilities

Key Responsibilities

1. Pre-Sales & Client Engagement
• Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions.
• Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients.
• Translate complex client requirements into actionable project scopes, estimates,and technical proposals.
2. Leadership & Team Management
• Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers.
• Establish best practices in solution design, code reviews, model validation, and production deployment.
• Drive the strategic roadmap for AI initiatives, ensuring alignment with organizational goals and market trends.
3. Classical Machine Learning & Statistical Modeling
• Apply classical machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods) to solve diverse business problems.
• Design and optimize data pipelines, feature engineering processes, and model selection strategies.
• Ensure robust model evaluation, tuning, and performance monitoring in production environments.
4. Deep Learning & Generative AI
• Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems.
• Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services.
• Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances.
5. Project Delivery & MLOps
• Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance.
• Implement MLOps best practices (CI/CD, containerization, model versioning) on cloud or on-premise infrastructures.
• Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems.
6. Stakeholder Management & Communication
• Serve as a key technical advisor to executive leadership, product managers, and client teams.
• Communicate complex AI/ML findings in clear, actionable terms to both technical and non-technical audiences.
• Advocate data-driven decision-making and foster a culture of innovation within the organization.

Required Qualifications

• Education & Experience
• Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred.
• 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity.
• Technical Expertise
• Pre-Sales: Demonstrated experience in client-facing roles, solutioning, and proposal development.
• Classical ML: Skilled in traditional algorithms (regression, classification,clustering, etc.) and statistical methods.
• Deep Learning: Hands-on expertise with frameworks (e.g., TensorFlow,PyTorch) for CNNs, RNNs, transformer architectures, etc.
• Generative AI: Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models.
• MLOps: Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP).
• Leadership & Communication
• Proven ability to mentor and lead data science/ML engineering teams to meet project goals.
• Exceptional communication skills for presenting to clients, stakeholders, and executive leadership.
• Experience in agile methodologies and project management, balancing multiple projects simultaneously.

Please check below link for organisation details,

https://www.tavant.com/

If interested , please drop your resume to dasari.gowri@tavant.com

Regards

Dasari Krishna Gowri

Associate Manager - HR

www.tavant.com