As a Data Scientist - Technical Lead at our company in Noida, you will be responsible for driving advanced analytics, machine learning solutions, and data-driven product initiatives. Your role will involve leading the design, development, and deployment of machine learning and statistical models. You will translate business problems into scalable analytical solutions and collaborate closely with engineering, product, and business stakeholders to deliver production-ready solutions. Additionally, you will mentor and guide junior data scientists and analysts, drive experimentation and continuous improvement, and ensure best practices in model governance, reproducibility, and documentation. Your expertise in Python, machine learning libraries, deep learning frameworks, statistics, and cloud environments will be essential for success in this role.

• *Key Responsibilities:**
• Lead design, development, and deployment of machine learning and statistical models
• Translate business problems into scalable analytical solutions
• Build predictive, classification, clustering, and recommendation models
• Work closely with engineering, product, and business stakeholders to deliver production-ready solutions
• Mentor and guide junior data scientists and analysts
• Drive experimentation, model evaluation, and continuous improvement
• Develop data pipelines and ensure data quality for model training
• Present insights and recommendations to leadership teams
• Participate in architecture discussions for AI/ML systems
• Ensure best practices in model governance, reproducibility, and documentation
• *Required Skills:**
• 7+ years of experience in data science / machine learning
• Strong proficiency in Python for data science and model development
• Strong experience with libraries such as Pandas, NumPy, Scikit-learn
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
• Strong knowledge of statistics, probability, and machine learning algorithms
• Experience with SQL and large-scale data handling
• Familiarity with model deployment and MLOps practices
• Experience with cloud environments such as Amazon Web Services, Google Cloud, or Microsoft Azure
• Strong communication and stakeholder management skills
• *Preferred Skills:**
• Experience in NLP, recommendation systems, forecasting, or computer vision
• Familiarity with big data technologies such as Apache Spark
• Knowledge of MLOps tools and pipelines
• Experience with data visualization tools like Tableau or Power BI

In this role, you will also be expected to:

• Lead technical decisions for data science initiatives
• Mentor team members and review model quality
• Drive collaboration across engineering and product teams
• Support roadmap planning and delivery execution
• *Qualification:**
• Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field
• *Nice to Have:**
• Experience leading enterprise AI/ML deployments
• Exposure to real-time analytics systems
• Publications, patents, or advanced research background

This is a full-time position with an annual pay range of 481,047.05 - 2,338,008.76. The work location is in person. As a Data Scientist - Technical Lead at our company in Noida, you will be responsible for driving advanced analytics, machine learning solutions, and data-driven product initiatives. Your role will involve leading the design, development, and deployment of machine learning and statistical models. You will translate business problems into scalable analytical solutions and collaborate closely with engineering, product, and business stakeholders to deliver production-ready solutions. Additionally, you will mentor and guide junior data scientists and analysts, drive experimentation and continuous improvement, and ensure best practices in model governance, reproducibility, and documentation. Your expertise in Python, machine learning libraries, deep learning frameworks, statistics, and cloud environments will be essential for success in this role.

• *Key Responsibilities:**
• Lead design, development, and deployment of machine learning and statistical models
• Translate business problems into scalable analytical solutions
• Build predictive, classification, clustering, and recommendation models
• Work closely with engineering, product, and business stakeholders to deliver production-ready solutions
• Mentor and guide junior data scientists and analysts
• Drive experimentation, model evaluation, and continuous improvement
• Develop data pipelines and ensure data quality for model training
• Present insights and recommendations to leadership teams
• Participate in architecture discussions for AI/ML systems
• Ensure best practices in model governance, reproducibility, and documentation
• *Required Skills:**
• 7+ years of experience in data science / machine learning
• Strong proficiency in Python for data science and model development
• Strong experience with libraries such as Pan