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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