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Experienced Full Stack Data Scientist – Voice of the Customer Analytics and Innovation

Work from home Full-time role Hiring

At arenaflex, we're on a mission to revolutionize the way we listen to our customers and drive business growth through data-driven insights. As a Senior Statistics Architect, you'll play a critical role in transforming our Voice of the Customer (VOC) methodology, leveraging cutting-edge technologies and innovative approaches to deliver exceptional customer experiences.

Join the arenaflex Crew and Shape the Future of Customer Engagement

With over 5 million surveys received from clients each year across consumer, business, and service provider segments, our Customer Listening Team is responsible for implementing the Stop-to-Give-Up Voice of the Customer technique. This involves designing and programming customer satisfaction surveys, including 40+ studies translated into over 10 languages and deployed in more than 20 countries. As a Senior Statistics Architect, you'll work closely with product and process owners, Qualtrics specialists, and the Agile team in Technology to drive innovation and transformation.

Key Responsibilities:

* Collaborate with utility teams to outline, design, and capture business needs, ensuring seamless integration with our Cornerstone Large Data Platform.

  • Develop and leverage knowledge of Voice of the Customer methods to inform and transform data within the Cornerstone platform.
  • Design and build robust data model architecture to facilitate efficient data processing and standardized metric definitions.
  • Deliver high-quality and accurate analytical insights leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to drive innovative solutions.
  • Provide guidance to enhance competencies and drive efficiency in computing programs using massive data ecosystems.
  • Power customer story evaluation and elaboration, design and development of software programs, testing, and builds automation tools.
  • Proactively identify and automate repetitive tasks to improve productivity and efficiency.
  • Work closely with colleagues from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of the VOC Stop-to-Give-Up technique.

Essential Qualifications:

* Hands-on experience with Hive/Hadoop, Pyspark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks for a span of no less than 3+ years.

  • Strong collaboration skills with product managers and stakeholders to translate functional requirements into technical deliverables.
  • Familiarity with Agile methodologies, where small increments of a product are introduced at regular intervals to business groups.
  • Experience with data modeling, data warehousing, and business intelligence tools.

Preferred Qualifications:

* Master's degree in Computer Science, Statistics, or a related field.

  • Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
  • Knowledge of machine learning algorithms and their applications in data analysis.
  • Certification in data science, data engineering, or a related field.

arenaflex Culture and Benefits:

At arenaflex, we prioritize our colleagues' and their loved ones' holistic well-being, offering a range of benefits to support their physical, financial, and intellectual health throughout their career journey. Our competitive base salaries, bonus incentives, and flexible work arrangements ensure a healthy work-life balance. We also offer generous paid parental leave policies, free access to international on-site wellness facilities, and confidential counseling services through our Wholesome Minds application.

Career Growth and Education Opportunities:

arenaflex is committed to supporting your professional development and growth. We offer a range of training programs, mentorship opportunities, and education assistance to help you advance your career and stay up-to-date with industry trends.

How to Apply:

If you're a motivated and experienced data scientist looking to join a dynamic team and shape the future of customer engagement, apply now to become a part of the arenaflex crew. Apply for this job

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