Location
Pune | India
Job description
Job Title: Lead Data Scientist
Required Experience: 4+ years Location – Pune (Hybrid) Position Overview As the Lead Data Scientist, you will play a pivotal role in driving data-driven decision-making and
advancing our organization's analytical capabilities. You will lead a team of data scientists,
collaborate with cross-functional teams, and contribute to the development and implementation
of advanced analytics solutions. This position requires a strong combination of technical
expertise, leadership skills, and business acumen.
Responsibilities Team Leadership: - Lead, mentor, and inspire a team of data scientists, fostering a collaborative and innovative work environment.
- Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals.
- Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning:
- Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals.
- Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies.
- Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics:
- Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems.
- Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities.
- Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration:
- Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes.
- Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality:
- Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis.
- Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management:
- Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met.
- Provide regular project updates to stakeholders and manage expectations effectively. Qualifications:
- Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.).
- 4+ years of experience in data science, with a proven track record of leading successful projects.
- Strong proficiency in programming languages such as Python and R.
- Expertise in sentiment analysis, NER, and other natural language processing techniques is a must.
- Experience in MLOps, Machine Learning, Statistical Modeling, and Data Visualization.
- Excellent leadership, communication, and interpersonal skills.
- Experience with big data technologies and cloud platforms is a plus.
- Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met.
- Provide regular project updates to stakeholders and manage expectations effectively.
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