About careerzynith

careerzynith is a global leader in financial services and innovative customer experiences. With a heritage of more than a century, we have continuously reinvented the way we connect with consumers, businesses, and partners worldwide. Our mission is to deliver first‑class experiences that are built on trust, integrity, and a deep understanding of the voice of the customer. At careerzynith, every employee is valued, heard, and empowered to shape the future of the industry.

Why This Role Matters

Our Voice of the Customer (VOC) program captures millions of insights each year from surveys, feedback loops, and real‑time interactions across more than 20 countries and 10 languages. The Senior Statistics Architect you will become is the architect of the data foundation that turns raw feedback into actionable intelligence. By designing robust data models, building scalable pipelines, and collaborating with cross‑functional teams, you will help careerzynith transform customer sentiment into strategic advantage.

Key Responsibilities

• Data Platform Design & Architecture: Lead the design, development, and maintenance of the Cornerstone data platform that stores and processes VOC data at petabyte scale.
• End‑to‑End Pipeline Development: Build and optimize batch and real‑time data pipelines using Hadoop, HDFS, MapReduce, Hive, Spark, and Python to ensure timely delivery of insights.
• Collaboration with Product & Engineering Teams: Partner closely with product owners, data scientists, and agile technology squads to translate business requirements into technical specifications.
• Data Modeling & Metric Standardization: Create robust data models and standardized metric definitions that enable consistent reporting across the organization.
• Performance Tuning & Quality Assurance: Conduct rigorous testing, validation, and performance tuning to guarantee data accuracy, reliability, and compliance.
• Automation & Tooling: Develop automation scripts (Shell, Python) and CI/CD pipelines to streamline data ingestion, transformation, and deployment processes.
• Thought Leadership: Advocate best practices in big‑data engineering, data governance, and agile delivery within careerzynith’s analytics community.
• Mentorship & Knowledge Sharing: Coach junior engineers and data analysts, fostering a culture of continuous learning and innovation.

Essential Qualifications

• Minimum 3 years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark/PySpark.
• Proficiency in Python for data processing, scripting, and automation.
• Strong background in SQL and data modeling for large‑scale analytical workloads.
• Demonstrated experience building and maintaining real‑time data pipelines and batch processing jobs.
• Solid understanding of agile methodologies and ability to work in fast‑paced, iterative development cycles.
• Excellent problem‑solving skills with a focus on delivering high‑quality, production‑ready solutions.
• Effective communication skills—able to articulate technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP) and managed big‑data services.
• Familiarity with data visualization tools (Tableau, Power BI) and reporting frameworks.
• Knowledge of VOC or survey analytics domains, including Qualtrics‑style data structures.
• Certification in data engineering or big‑data technologies (e.g., Cloudera, Hortonworks).
• Previous work in a multinational, remote‑first environment.

Core Skills & Competencies

• Technical Mastery: Hadoop, Spark, Hive, HDFS, Python, Shell scripting, SQL, data warehousing.
• Analytical Thinking: Ability to translate complex business questions into scalable data solutions.
• Collaboration: Strong teamwork orientation, comfortable partnering with product managers, data scientists, and UX researchers.
• Adaptability: Thrive in a dynamic environment where priorities shift based on emerging customer insights.
• Leadership: Mentor junior talent and champion data‑driven decision making across the organization.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Senior Statistics Architect, you will have access to:

• Continuous learning budgets for certifications, conferences, and online courses.
• Mentorship programs that pair you with senior leaders in data science and engineering.
• Opportunities to lead high‑visibility projects that directly influence product strategy and customer experience.
• Cross‑functional rotations that broaden your expertise across analytics, product, and technology domains.

Work Environment & Culture

Our remote‑first philosophy empowers you to work from anywhere in Costa Rica while staying connected to a vibrant, inclusive community. careerzynith fosters a culture where:

• Every voice is respected and encouraged to contribute ideas.
• Innovation is celebrated, and calculated risk‑taking is supported.
• Work‑life balance is a priority, with flexible schedules and hybrid options.
• Diversity, equity, and inclusion are embedded in every hiring and promotion decision.

Compensation, Perks & Benefits

While exact figures vary, careerzynith offers a competitive compensation package that includes:

• Base hourly rate of $35 plus performance‑based bonuses.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Retirement savings plans with company matching contributions.
• Generous paid parental leave and family‑care benefits.
• Access to a global employee assistance program, including confidential counseling and mental‑health resources.
• Well‑being initiatives such as virtual fitness classes, nutrition workshops, and on‑site health clinics (where applicable).
• Paid time off, holidays, and flexible vacation policies to recharge and explore.

How to Apply

If you are passionate about turning raw customer feedback into strategic insight, thrive in a data‑intensive environment, and want to make a tangible impact at a world‑renowned financial services leader, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.

Apply Now

Join careerzynith – Shape the Future of Customer Experience

At careerzynith, your expertise will help us listen, learn, and lead. Together, we will build the next generation of data‑driven experiences that empower millions of customers worldwide. Take the next step in your career and become part of a team that values curiosity, collaboration, and continuous improvement.