Location
Pune | India
Job description
Job Role: Lead Data Scientist
Required Experience: 4+ years
The candidate should be from Pune
Job Description:
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 computer vision, natural language processing, 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.
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Salary