Lead AI Analyst

ESP Engineered

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

ESP Engineered in Bengaluru, Karnataka, is seeking a Lead AI Analyst to lead a team of Data Scientists. The role involves developing predictive models and robust data pipelines, exploring data, and applying data mining techniques for business insights. Ideal candidates will have over 6 years of experience in Data Analytics and must hold a B Tech/BE in a relevant field. The company offers an engaging environment focused on innovative data-driven solutions.

Qualifications

  • 6+ years of experience in Data Analytics, Model development, and deployment.
  • Strong forecasting experience.
  • Must have exposure to developing predictive analytics and machine learning algorithms for business applications.
  • Good knowledge of data management and visualization techniques.
  • Hands-on experience working with SQL, R, Python, Hadoop.
  • Experience managing teams of at least 2-3 members.

Responsibilities

  • Understand business objectives and formulate the problem as a Data Science problem.
  • Develop and maintain robust data processing pipelines.
  • Explore data and communicate insights clearly.
  • Manage a team of data scientists.
  • Analyze experimental results and refine models.
  • Build analytic systems and predictive models.
  • Test performance of data-driven products.
  • Experiment with new models and techniques.

Skills

Data Analytics
Model development
Predictive analytics
Machine learning algorithms
Data management
Data visualization
SQL
R
Python
Hadoop
Leadership

Education

B Tech/BE in Computer Science, Data Science, Mathematics or similar field

Job description

Lead AI Analyst will lead a team of Data Scientists / Senior Data Scientists and help us discover the information hidden in vast amounts of data, make smarter decisions to deliver even better products. The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What this role entails
  • Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)
  • Develop and maintain robust data processing pipelines and reproducible modelling pipelines.
  • Explore data and communicate insights clearly
  • Manage a team of data scientists and senior data scientists
  • Analyze experimental results, iterate and refine models to create significant business impact
  • Build analytic systems and predictive models
  • Test performance of data-driven products
  • Experiment with new models and techniques
What lands you in this role
  • 6+ years of experience in Data Analytics, Model development and deployment
  • Strong forecasting experience
  • Must have exposure to developing predictive analytics and machine learning algorithms for business applications
  • Good knowledge of data management and visualization techniques
  • Hands‑on experience of working across SQL, R, Python, Hadoop
  • Experience of managing teams of at least 2-3 members
  • Strong organizational and leadership skills
  • Understanding and exposure to business applications and integration of analytics with businesses.
  • B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field
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