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Experienced Full Stack Data Scientist – Business Intelligence and Analytics

Work from home Full-time role Hiring

Join arenaflex, a world-renowned airline, in shaping the future of aviation and data-driven decision making. Are you a data enthusiast with a passion for uncovering insights and driving business growth? Do you thrive in a fast-paced, dynamic environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Scientist to join our Business Intelligence and Analytics team. As a key member of our team, you will play a critical role in developing and implementing data-driven solutions that drive business outcomes and improve customer experiences.

About arenaflex

arenaflex is a global airline that has been a leader in innovation and customer satisfaction for over a century. Our commitment to excellence is reflected in our state-of-the-art aircraft, exceptional customer service, and dedication to safety. At arenaflex, we believe that diversity and inclusion are essential to our success, and we strive to create a workplace that is welcoming and inclusive for all employees.

Our Culture

Our culture is built on the principles of collaboration, innovation, and customer-centricity. We believe that our employees are our greatest asset, and we invest in their growth and development through training, mentorship, and opportunities for advancement. Our team is passionate about making a positive impact on the world, and we are committed to sustainability and social responsibility.

Job Summary

As a Full Stack Data Scientist at arenaflex, you will be responsible for designing, developing, and implementing data-driven solutions that drive business outcomes and improve customer experiences. You will work closely with cross-functional teams to identify business needs and develop data-driven solutions that meet those needs. Your expertise in data science, machine learning, and business intelligence will be essential in driving business growth and improving customer satisfaction.

Key Responsibilities

* Execute solutions for business issues using data analysis, data mining, streamlining tools, statistical modeling, and AI methods

  • Continuously develop and exhibit improved analysis strategies
  • Possess strong skills and be comfortable with possessing data and working from idea through to execution
  • Identify a business issue and the available data and determine what analysis and modeling procedures can be applied to respond to a business question
  • This position is subject to local conditions and requirements. Expat assignments and sponsorship for business visas, even on a time-limited visa status, will not be granted. This position is for arenaflex Business Services Pvt. Ltd - a fully owned subsidiary of arenaflex Inc.
  • arenaflex is an equal opportunity employer. arenaflex initiates, employs, trains, adjusts, and advances regardless of race, religion, color, national origin, gender character, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.

Requirements

* Bachelor's degree in a quantitative field such as Math, Statistics, Operations Research, or MBA

  • At least 2+ years of experience in data science/AI
  • Demonstrated comfort and scholarly interest in working with extremely large sets of data, and proficiency in predictive modeling
  • Strong knowledge of either R or Python
  • Familiarity with controlling and analyzing complex, high-volume, high-dimensionality data from various sources to identify patterns and relationships
  • Understanding of how and when to apply predictive and AI procedures like linear regression, random forests, GBM, Neural Nets, SVM, etc.
  • Ability to use data set querying tools and be able to write complex queries and techniques using Teradata SQL or potentially Microsoft TSQL
  • Hands-on experience in using Large Data environments (Hadoop/Spark), API Gateways, and non-structured data will be an added advantage
  • Ability to communicate complex quantitative analysis and calculations in a clear, accurate, and compelling way
  • Strong written and verbal communication skills in English
  • Around 4 months of travel to the US in a year
  • Should be legally authorized to work in India for any business without sponsorship
  • Successful completion of interview expected to meet work capability
  • Reliable, consistent attendance is a fundamental requirement of the position
  • Should be conversant in English and Hindi (written and spoken)
  • Successful completion of interview expected to meet work capability
  • Reliable, consistent attendance is a fundamental requirement of the position

Preferred Qualifications

* Graduate degree in a quantitative field like Math, Statistics, Operations Research, or MBA

  • Experience in working with cloud-based data platforms such as AWS or Azure
  • Familiarity with data visualization tools such as Tableau or Power BI
  • Experience in working with machine learning libraries such as scikit-learn or TensorFlow
  • Strong understanding of data governance and data quality principles

What We Offer

* Competitive salary and benefits package

  • Opportunities for career growth and advancement
  • Collaborative and dynamic work environment
  • Recognition and rewards for outstanding performance
  • Comprehensive training and development programs
  • Access to cutting-edge technology and tools
  • Flexible work arrangements and work-life balance
  • Opportunities for professional development and certification

How to Apply

If you are a motivated and talented data scientist looking for a challenging and rewarding career opportunity, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

Equal Opportunity Employer

arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, and we strive to provide equal opportunities for employment, training, and advancement. Apply for this job

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