Financial Planning Data Analyst
5 days ago
Leidos is seeking a highly skilled Data Scientist for Financial Planning to join their team. This role will be responsible for building statistical models, testing hypotheses, interpreting and summarizing data findings, and leveraging automation and machine learning to manage data and make recommendations.
The successful candidate will have strong experience with Python coding and visualization building skills, as well as knowledge of commonly used ML libraries (SciKit-learn). Experience with data engineering and MLOps is also a plus.
In this role, you will collaborate closely with the VP of FP&A in building a Data Analytics Team within Finance, and work with the AI Accelerator team to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects.
Key Responsibilities:- Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
- Performs large-scale experimentation and builds data-driven models to answer business questions
- Mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership
- Bachelor's degree in Computer Science, Data Science, Data Engineering or related field with 2+ years of relevant experience
- Strong experience with Python as well as fluency in multiple programming languages and statistical analysis tools such as C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
- Experience/familiarity with frequentist statistics and probability including predicative modeling
$67,600.00 - $122,200.00
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