Description & Requirements

What you will do:

Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust. Assess clients' data strategy, systems, and datasets by exploring cloud and on-premise infrastructure and conducting meetings. Contribute to the design and development of data products, leading aspects of technical design. Conduct exploratory data analysis, develop predictive models, and create pipelines that generate reliable outputs for visualizations and applications. Set a high standard for quality and performance in code development, ensuring integration with CI pipelines through functional and unit testing. Take on leadership responsibilities in client projects as technical expertise grows. Provide training and mentorship to team members and interns as needed. Lead and support client engagement throughout all phases of the project lifecycle. Minimum Qualifications: Bachelor's degree in a Data & Analytics-related field (or equivalent experience), such as Data Science or Data Engineering. Knowledge of cloud architecture, system design, and integration. Expertise in developing and deploying data models and products in production environments. Proficiency in data visualization tools such as Power BI or Tableau. Experience with text mining, NLP, or Generative AI. Background in solution architecture, DevOps, or data engineering with platforms like Azure, AWS, or GCP. Strong proficiency in Python, Pandas, PySpark, and scikit-learn. Understanding of various machine learning techniques, including clustering, decision trees, boosting, and neural networks. Familiarity with Linux ecosystems, including Bash, SSH, virtualization, and automation. Experience with databases such as SQL and Spark-based platforms (Databricks, Fabric, Synapse). Comfort working with Git for Continuous Integration and Deployment (GitLab CI, Docker Compose). Strong command of data exploration and analysis in an open-source environment. Proven ability to develop and implement machine learning models and simulations. Preferred Qualifications: Experience in data visualization Strong problem-solving abilities, particularly in product development. Motivation to drive business impact through data-driven strategies. Comfort working with diverse stakeholders and teams. Excellent written and verbal communication for cross-team collaboration. Enthusiasm for learning and mastering new technologies in a fast-evolving environment. Ability to travel occasionally Ability to support and engage with users of data and analytics products.

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