Data Scientist

Job Details

Job Title: Data Scientist (Contract) - Job#5125

Worksite: Hybrid Onsite Houston TX
We are seeking a curious, proactive, and innovative Data Scientist to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and communicating the results back to business partners.

• 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

Preferred:

• Graduate degree (Masters or PhD) in a quantitative field
•  
• 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

Must Have Education and Experience

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