Data Scientist

About the Role:

We are seeking an experienced Data Scientist to join our Leidos Corporate Financial Planning & Analysis (FP&A) team. As a Data Scientist, you will play a key role in supporting a new team working on projects to improve our Enterprise financial analytics and forecasting.

Key Responsibilities:

• Build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings.
• Leverage automation and machine learning to manage data, predict scenarios, and make recommendations.
• Partner with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects.
• Model complex business problems through statistical, algorithmic, mining, and visualization techniques.
• Support senior leadership by creating business insights, reports, and analyses to aid in the decision-making process.

Requirements:

• Bachelor's degree in Computer Science, Data Science, or related field, and over 6 years of relevant experience, or Masters with 4 years of experience, or PhD with 2 years of 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 with data repositories and reporting tools.
• Good understanding of machine learning algorithms, tools, and platforms.
• Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas) and Jupyter notebooks.
• Experience with time series modeling, causal inference, or probabilistic forecasting models.
• Experience with tabular data analysis using languages such as SQL, R, and/or Python.
• Experience with statistical modeling and data analysis.
• Understanding of transformers and foundation models.
• Self-starter with high intellectual curiosity.
• Great communication skills, able to explain model results to a non-technical audience.
• Proficient in data exploration techniques and tools.
• Ability to work in a cross-functional team.

Preferred Qualifications:

• Experience with data visualization libraries such as Plotly, Streamlit, and matplotlib.
• Experience with building LLM and other Generative AI applications.
• Willing to learn new skills and platforms to support data analytics.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.