Data Architect

2 weeks ago

Anantapur, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Data Scientist

We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As a key member of our organization, you will be responsible for designing and building innovative machine learning and data analytics solutions that drive business growth and improvement.

About the Role

This is an exceptional opportunity for a talented individual to lead our data science team and contribute to the development of cutting-edge technology that shapes the future of map-making. If you have a passion for data-driven decision making, a strong technical background, and excellent leadership skills, we encourage you to apply.

Responsibilities
  • Design and build scalable Big Data infrastructure and machine learning models to improve global-scale digital map-making processes.
  • Develop and deploy predictive modeling solutions to drive business outcomes and optimize internal data-driven processes.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
Requirements
  • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum 7+ years related professional experience.
  • Expert-level knowledge in data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
  • Proficiency with statistical analysis packages and associated scripting languages such as Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • Demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
Preferred Qualifications
  • Development experience with Scala
  • Development experience with Docker
  • Development experience with GIS data
  • Development experience with NoSQL (i.e. DynamoDB)

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