Lead Data Scientist @ Sedin Technologies
placeChennai, Tamil Nadu, India
attach_money ₹150,000
businessOn Site
scheduleFull Time
Posted 10 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @sedintech.com
Recommended after applying
Job Details
About the Role
As a Lead Data Scientist at Lead Data Scientist, you will drive end-to-end delivery of data science projects, transforming business problems into analytical solutions. You will lead a team of data scientists and ML engineers, providing technical guidance, code reviews, and mentorship.
Responsibilities
- Drive analytical solutions for complex business problems.
- Lead and mentor a team of data scientists and ML engineers.
- Engage with clients and internal stakeholders for pre-sales and solution design.
- Collaborate with product managers, engineers, and domain experts.
- Stay updated on AI/ML advancements and apply cutting-edge techniques.
- Represent the company in thought leadership initiatives.
Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- 10+ years of hands-on experience in applied data science and ML.
- Proven track record of delivering ML projects in production.
- Expertise in Python for data manipulation, model development, and visualization.
- Proficiency in Streamlit for interactive data apps and demos.
- Experience building and deploying APIs using FastAPI or Flask.
- Understanding of ML deployment workflows and ML Ops practices.
- Experience in pre-sales or client-facing solutioning for analytics/AI projects.
- Strong problem-solving, communication and team leadership skills.
Nice to Have
- Experience publishing research papers or contributing to open-source AI/ML projects.
- Familiarity with modern NLP techniques and frameworks like LangChain or OpenAI APIs.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and scalable ML infrastructure.
- Exposure to BI tools and data warehousing systems.
Our Technology Stack
- Python, Jupyter Notebooks, SQL, Spark/PySpark
- Tensorflow, PyTorch
- Streamlit, Gradio, Flask
- MLflow, Weights & Biases, Docker, Airflow, FastAPI, GitHub Actions
- Github, Jira
- AWS, Azure, GCP, Dataiku, Databricks
Key skills/competency
- Data Science
- Machine Learning
- Python
- Streamlit
- FastAPI
- ML Ops
- Team Leadership
- API Deployment
- Client Engagement
- Cloud Platforms
How to Get Hired at Sedin Technologies
🎯 Tips for Getting Hired
- Customize Your Resume: Highlight relevant data science and leadership skills.
- Showcase Projects: Emphasize ML projects and production experience.
- Research Sedin Technologies: Understand company culture and tech stack.
- Prepare for Interviews: Review technical questions on Python, ML Ops, and API deployment.
📝 Interview Preparation Advice
Technical Preparation
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Review Python and Jupyter basics.
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Practice ML model deployment on FastAPI.
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Study ML Ops practices and CI/CD.
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Revise data manipulation and visualization.
Behavioral Questions
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Describe your leadership style.
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Explain handling client disagreements.
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Discuss teamwork in challenging projects.
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Illustrate mentoring team members.
Frequently Asked Questions
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