Data Scientist -Manager, Total Rewards

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Raytheon Technologies Corporation is looking for a Data Scientist (Manager, Total Rewards) in Farmington, Connecticut.

Raytheon Technologies Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises four industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, Raytheon Intelligence & Space and Raytheon Missiles & Defense. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Waltham, Massachusetts.

Primary Responsibilities:

• Partner with data engineers and data steward to identify process improvements in the modeling life cycle and assess the quality of data.
• Monitor and maintain the models currently in production and leverage external research and feedback from stakeholders to periodically enhance and improve these computer models.
• Explore issues in computing, leverage large HR and other related datasets and develop theories and models to assist leaders and HR business partners to make data-driven decisions.
• Develop and deploy scalable advanced decision support models and predictive algorithms improve the software systems that influence important decisions for customers in areas such as talent, rewards and workforce planning.
• Manage cross-functional data science projects, define project scope, goals, deliverables, timelines, and communicate the progress to project stakeholders.
• Mentor team members on various tasks, including cleansing and exploring large datasets, testing hypotheses, conducting statistical analysis, and building and deploying predictive models.
• Review code, models, insights, and prepare final reports and presentations accompanied by effective data visualization and storytelling for delivery.

Required Qualifications:

• Must possess at least a bachelor’s degree or its equivalent in Statistics, Computer Science or a related field and at least 5 years of progressive experience in data science or a related field. In the alternative, must have at least a master’s degree or its equivalent in Statistics, Computer Science or a related field and at least 3 years of experience in data science or a related field.
• At least 3 years of experience with coding in a statistical programming language such as R, Python, or SAS
• At least 3 years of experience in data wrangling skills (R, Python, SAS, or SQL) and creating datasets from multiple databases or file formats
• At least 3 years of experience working with Generalized Linear Models (GLM) and Statistical Methods (such as Log-linear Regression, Logistic Regression, Hypothesis Testing and Inference, Correlation)
• Demonstrable experience analyzing structured and unstructured data, and building scalable machine learning models for various tasks such as regression, classification, clustering, recommender engines
• Demonstrable experience applying natural language processing (NLP) techniques to large amounts of open-text data (such as Deep Learning, NER, Word2Vec, Topic Modeling)
• Demonstrable experience with Time Series Forecasting, Bagging and Boosting Algorithms, SVM, and Neural Networks