Quantitative Analyst

We are seeking a highly skilled Data Scientist to join our team at Lockheed Martin. As a Data Scientist, you will play a critical role in driving business growth and innovation by leveraging advanced analytics and machine learning techniques.

• Develop and maintain large-scale data flows, standardizing and pre-processing vast quantities of data to support business decision-making.
• Design, develop, and fine-tune machine learning models to drive predictive insights and improve business outcomes.
• Collaborate with cross-functional teams to identify key business challenges and develop data-driven solutions.
• Develop and maintain data visualizations to communicate complex insights to stakeholders.
• Work with subject matter experts to identify key business opportunities and develop data-driven recommendations.
• Develop and maintain scripts to extract information from various data sources and formats.
• Translate business requirements into software prototypes to drive innovation and improvement.
• Apply AI techniques to improve business processes and reduce analyst workload.
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and drive business decisions.
• Develop experiments to collect data or models to simulate data when required data are unavailable.
• Develop feature vectors for input into machine learning algorithms.
• Identify the most appropriate algorithm for a given dataset and tune input and model.
• Evaluate and validate the performance of analytics using standard techniques.

• Experience with data science and modern machine learning techniques in the cyber domain and discovery operations.
• Experience with standard analytic techniques and metrics.
• Knowledge of Natural Language Processing and Image Processing techniques.
• Familiarity with Predictive modelling, Statistical Analysis and Hypothesis testing.
• Experience with algorithm design and development in cloud environments.
• Fluency in at least one coding language (Python preferred) and surrounding libraries for data management, statistics, machine learning, and visualisation.
• Experience of standard machine learning frameworks like TensorFlow and PyTorch.
• Experience of working with large quantities of data using Hadoop and Spark.
• Knowledge of cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery.
• Experience with workflow and pipelining frameworks such as Kubeflow, MLFlow, or Argo.
• Strong appreciation of ethical AI considerations.

• A competitive salary and benefits package.
• A collaborative and dynamic work environment.
• Opportunities for professional growth and development.
• A comprehensive training program.
• A flexible and supportive work environment.