General information

Name
Consulting - Analytics - Data Scientist & Data Engineer - Senior Consultant
Posting Title
Senior Consultant – Analytics – Data Scientist and Data Engineer
Ref #
2235079
Date Published
Thursday, June 5, 2025
City
Boca Raton
State
Florida
Country
United States
Job Category
Analytics
Office
Analytics (MUSA)
Advertised Location
US-FL-Boca Raton, US-GA-Atlanta, US-NC-Charlotte, US-NC-Charlotte, US-TX-Dallas, US-TX-Houston
Working time
Full Time

Description & Requirements

How You Will Contribute:

  • 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.  


We are looking for people who have Forward Vision and:

  • 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.


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 PowerBI 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.  
  • Experience in data visualization (preferred).

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