VicTree Solutions is hiring a Lead Data Scientist for a client in Bengaluru, Karnataka
Imp Note: Experience with product based companies is must.
- Role: Lead Data Scientist
- Salary Range: ₹ 35-40 LPA
- Experience: 7+ years
- Location: Bengaluru, Karnataka
The Role:
For a client, we are seeking an experienced and visionary Lead Data Scientist to guide the data science team and spearhead AI initiatives. As the lead, you will be responsible for setting the
strategic direction for data science, mentoring a talented team, and remaining hands-on in
the development and deployment of sophisticated AI models at scale. This role is critical, as you will be translating complex data from IoT devices and energy systems into actionable insights and automated solutions that help achieve a balance between people, planet and profit.
Key Responsibilities:
- Leadership & Strategy: Define and execute the data science roadmap, aligning projects with business objectives and identifying new opportunities for data-driven products.
- Team Mentorship: Guide, manage, and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
- Model Development & Innovation: Design, build, and validate robust machine learning models for tasks such as time-series forecasting, anomaly detection, and predictive maintenance. This includes everything from data preprocessing and feature engineering to algorithm selection and hyperparameter tuning.
- MLOps & Productionization: Own the end-to-end machine learning lifecycle. Design, build, and maintain scalable, automated ML pipelines using MLOps best practices and tools.
- Technical Architecture: Collaborate with engineering and DevOps teams to select the right cloud infrastructure and tools for model training and deployment at scale.
- Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to understand requirements and deliver impactful solutions.
- Communication: Translate complex statistical concepts and model results into clear, actionable insights for both technical and non-technical audiences.
Required Qualifications:
- Experience: A minimum of 7+ years of hands-on experience in data science, with a proven track record of delivering successful machine learning projects from conception to production.
- Technical Proficiency: Expert-level proficiency in Python and its core data science libraries, including pandas, NumPy, scikit-learn, plotly, TensorFlow, and Keras.
- MLOps & DevOps: Strong knowledge of MLOps principles and hands-on experience with tools like MLFlow for experiment tracking and model management. Solid understanding of DevOps tools like Docker, and CI/CD pipelines using Jenkins or GitHub Actions.
- Cloud Computing: Demonstrable experience with a major cloud platform, such as AWS (S3, SageMaker, EC2, Lambda) or Azure (Blob Storage, Azure ML).
- LLM Application: Proven experience using Large Language Models (LLMs) in a production environment.
- Storytelling & Visualization: Strong communication and presentation skills, with experience delivering projects to clients.
Preferred Qualifications:
- Team Leadership: Previous experience leading a project or a team of data scientists is a strong plus.
- Transformer Architectures: An understanding of GPT, BERT architectures is a plus.
- Container Orchestration: A working understanding of Kubernetes for scaling and managing containerized applications is good to have.
- Backend Familiarity: Basic understanding of backend elements (HTML, CSS) and how ML models integrate with web applications.
- Educational Background: A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Domain Knowledge: Experience in the energy, manufacturing, sustainability, or IoT sectors is highly desirable.
Lets connect on LinkedIn - www.linkedin.com/in/aneeshkjain
