Lead Data Scientist
5 days ago
Job Description: Data Scientist Team Lead
Location: Hyderabad
Work Mode: Work from Office
Experience Required: 8 - 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 8 – 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.
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