Lead Data Scientist

7 days ago

Anywhere in IndiaMultiple Locations RiskInsight Consulting Pvt Ltd Full time

About the Role :

We are seeking a passionate and experienced Lead Data Scientist to join our dynamic team and play a key role in shaping the future of data science within our organization.

In this leadership role, you will leverage your expertise to guide complex data projects, manage a team of data scientists, and unlock valuable insights that drive strategic :

- Lead and manage the development and execution of data science projects, ensuring alignment with business objectives.

- Partner with stakeholders across departments to understand data needs, translate them into actionable insights, and communicate findings effectively.

- Develop and implement innovative machine learning algorithms, statistical models, and data analysis techniques to extract valuable insights from large datasets.

- Foster a collaborative and high-performing data science team, providing mentorship, coaching, and guidance to junior data scientists.

- Oversee the data science lifecycle, including data acquisition, cleaning, analysis, model building, deployment, and monitoring.

- Champion a culture of data-driven decision making by evangelizing the power of data science across the organization.

- Stay up-to-date on the latest advancements in data science methodologies and technologies, and continuously improve our data science practices.

- Track and monitor the performance of data science models, refine them as needed, and measure their business impact.

- Identify and prioritize new data science opportunities that optimize business processes and drive competitive advantage.

- Manage and maintain a robust data science infrastructure, ensuring data security, accessibility, and quality.

Qualifications :

- Master's degree in Statistics, Computer Science, Mathematics, or a related field (or equivalent experience and proven achievements).

- Minimum of 5-7 years of experience in a data science or related role with a demonstrated ability to lead and manage projects.

- Strong expertise in machine learning algorithms, statistical modeling, and data analysis techniques.

- Experience working with big data technologies (e.g., Spark, Hadoop) is a plus.

- Excellent communication, collaboration, and leadership skills, with the ability to effectively lead and motivate a team.

- Proven ability to manage projects effectively, meet deadlines, and deliver results within budget constraints.

- Passion for data science and a strong desire to apply cutting-edge techniques to solve real-world problems.

(ref:hirist.tech)

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