Senior Data Scientist

Consulting Solutions LLC
September 23, 2022
Jacksonville, FL
Job Type


Senior Data Scientist


The ideal candidate has experience blending various datasets, building statistical/machine learning models, and communicating the results back to business partners.

Essential Duties and Responsibilities

  • Apply machine learning, advanced analytical techniques, and critical thinking to solve complex business problems
  • Seek, build, and consolidate data inputs proactively to create and improve models
  • Translate business partners’ needs into data science projects and make technical decisions based on the tradeoff between complexity and value
  • Drive projects, individually and collaboratively, through the data science lifecycle including data collection, exploration/analysis, model development, validation, and deployment
  • Develop presentations to communicate key messages to senior sponsors, non-technical partners, fellow data scientists, and other stakeholders
  • Work with technical partners to deploy models and streamline the process to scale our work


Quantitative Foundation:

  • B.S. degree in a quantitative field (e.g., Statistics, Engineering, Computer Science, Mathematics, Economics, Operations Research).


  • 5+ years’ experience in data science building and deploying models into production

Technical Skills:

  • Programming: compose clean, efficient, and reusable code in Python and/or R.
  • Machine Learning / Modeling: understand what types of algorithms to use, their benefits and drawbacks, and how to implement them.
  • Data Wrangling: write efficient SQL queries from scratch that blend data from a variety of sources in the right form for modeling, analysis, and scoring.
  • Statistical Analysis: investigate trends, patterns, and relationships using statistical methods and tests to reach actionable conclusions and understand causal relationships.
  • Data visualization: grasp data-ink ratios and bring data-driven stories to life through visuals.

Soft Skills

  • Curious: bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning.
  • Ownership: take responsibility to proactively advance projects, contribute to the team/organization, and improve existing processes.
  • Business acumen: understand the bigger picture for customers and the business while connecting your work to key objectives for both.
  • Storytelling: write and present messages and insights clearly to persuade non-technical partners that they can confidently use our models and solutions.

Bonus points if you have:

  • A graduate degree (Masters or PhD) in a quantitative field
  • Experience with spatial statistics, greenhouse gas emissions, or sensor data
  • Proficiency using git for version control, collaboration, and releases
  • Expertise with cloud services like AWS (SageMaker, S3, Redshift, etc.) and Snowflake
  • Built dashboards for visualizing model outputs and performance monitoring using Microsoft PowerBI, Python dash, or similar tools

- provided by Dice

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