Data Scientist Team Lead

Job Description: Data Scientist Team Lead

Location: Hyderabad
Work Mode: Work from Office

Experience Required: 5 - 10 years

Role Overview

We are seeking an experienced Data Scientist Team Lead to manage and mentor a team of data scientists while driving data-driven decision-making across projects. The ideal candidate will have extensive experience with XML and other tools essential for advanced data analysis, modeling, and visualization.

Key Responsibilities

• Lead and manage a team of data scientists, fostering a collaborative and high-performance environment.
• Develop and implement advanced data models and algorithms to solve business challenges.
• Utilize XML and other data manipulation tools for data extraction, transformation, and analysis.
• Collaborate with stakeholders to understand business needs and provide data-driven insights.
• Ensure the accuracy and quality of data pipelines and processes.
• Stay updated with the latest trends and advancements in data science and integrate them into workflows.
• Design and deploy scalable machine learning models and predictive analytics.
• Oversee project timelines and deliverables, ensuring alignment with business goals.

Required Skills and Qualifications

• Proven experience 5 10 years in data science, with a focus on team leadership.
• Strong expertise in XML for data parsing, transformation, and integration.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced Excel.
• Solid experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Hands-on experience with big data technologies like Hadoop, Spark, or similar.
• Familiarity with data visualization tools (Tableau, Power BI, or others).
• Strong understanding of statistical methods and predictive modeling.
• Excellent problem-solving and communication skills.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.

Preferred Qualifications

• Prior experience in leading cross-functional data science teams.
• Knowledge of cloud platforms like AWS, Azure, or GCP.
• Certifications in data science, machine learning, or related fields.