IndiGo - Data Science Lead/Manager - Big Data Tools

Description :

Key Responsibilities :

- Gather and extract data from various databases and sources, ensuring data quality and consistency.

- Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives.

- Develop predictive models and algorithms to address complex business challenges and forecast outcomes.

- Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives.

- To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity.

- Design and implement automated dashboards and reporting systems to streamline data insights and accessibility.

- Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies.

- Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support.

- Present findings and recommendations to senior leadership in a clear, concise, and impactful manner.

- Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals.

- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Qualifications :

- Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Experience in data science, analytics, or a similar role, with at least 2-3 years in a leadership or managerial position.

- Proven experience in building and deploying machine learning models and automated solutions.

Technical Skills :

- Proficiency in programming languages such as Python, R, or Java.

- Strong SQL skills and experience with data querying and transformation.

- Familiarity with big data technologies like Hadoop, Spark, or AWS.

- Experience with data visualization tools such as Tableau, Power BI, or similar.

- Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow).

Soft Skills :

- Strong analytical and problem-solving abilities.

- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

- Ability to work collaboratively in a team environment and lead projects with minimal supervision.

Preferred Qualifications :

- Experience in creating real-time data pipelines and automated alert systems.

- Understanding of data governance and compliance practices.

- Prior experience in aviation or a customer-centric or high-growth industry is a plus.