What are the responsibilities and job description for the Data Scientist position at CMCI?
Job Details
Data Scientist
Location: Los Angeles, LA - Onsite
Why CMCI?
CMCI provides management consulting and IT services that empower enterprises to achieve their business goals in today's highly competitive market. Our goal is to seamlessly integrate into each customer's organization to fully understand their business and technology needs. This approach allows us to quickly deliver high quality solutions while achieving the highest level of customer satisfaction on time and within budget. By choosing CMCI, you are choosing a company that can deliver business outcomes and mission needs in the most cost-effective manner and without sacrificing capability. As a part of CMCI's culture of loyalty and commitment to its employees, CMCI is committed to providing a tremendous career path by promoting employees to their highest potential.
Job Description
1) Experience coding data science solutions using R programming language and/or Python.
2) Experience building statistical models, creating predictive/forecasting models, and understand algorithmic bias in stats & implications.
3) Experience shepherding a data science model from requirements gathering from business stakeholders, to coding, to releasing to production, to assessing performance, to refining/optimization.
4) Clearly express the details of a data science model to peers and support finding with simulations measuring the effectiveness the model and optimize for constraints.
5) Experience in a government, school district, or related setting is preferred
6) Support a Data Science Team in using collaboration software using Posit Workbench, Databricks, Hex, or similar 7) Train Data Science team on how to check in code and collaborate using GIT and provide training and knowledge transfer on statistical models and methods.
8) Explaining complex statistical models and concepts into clear, understandable language for non-technical users who have minimal level knowledge of statistics.
9) Configure and troubleshoot Linux servers for hosting data science tools.
10) Document code, server settings, software settings, and workflows to facilitate lasting processes.
All qualified applicants will receive consideration for employment without regard to any characteristic protected by local, state, or federal laws, rules, or regulations
