Date Posted:

2024-06-07

Country:

United States of America

Location:

UT6: 4 Farm Springs 4 Farm Springs Road, Farmington, CT, 06032 USA

Position Role Type:

Remote

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 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 Arlington, VA.

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our RTX Corporate team:

Data Scientist, Workforce Intelligence

RTX Workforce Intelligence team brings diverse perspectives, data, research, and technology together to deliver insights on our most strategic asset. Our workforce. Our vision is to enable better business performance, improve employee experience, and inform HR strategy by delivering advanced workforce solutions and strategic consulting.

To be successful in this role, the individual should be a highly curious and research minded with a strong background in Artificial Intelligence and Machine Learning techniques and technologies, statistical theory, predictive modeling techniques, and one or more advanced programming languages.

What You Will Do

• Assist RTX businesses, HR business partners and HR COEs to make data-driven people decisions.
• Work alongside a dynamic and growing Advanced Analytics team, within the Workforce Intelligence organization.
• Support the successful development, deployment and adoption of HR data science and AI initiatives for the enterprise.
• Work with other Data Scientists on the team to design, build, deploy, and maintain Machine Learning, Deep Learning, Natural Language Processing (NLP), Time Series, Mathematical Optimization, and Generative AI (LLMs) models that aim at improving the employee lifecycle, including attracting, recruiting, onboarding, development, progression, engagement, and retention.

Qualifications You Must Have

• Bachelor’s Degree in a related field, such as Data Science, Analytics, Statistics, Economics/Econometrics, Engineering, Computer Science, Operations Research or similar and a minimum 2 years of relevant experience, or an Advanced Degree in a related field.
• Experience with one or more advanced programming language such as Python.
• Strong data wrangling skills and experience in querying language (SQL) and pulling together datasets from multiple relational databases and file formats.
• Experience working with and analyzing large and complex datasets, both structured and unstructured; experience in leveraging those datasets for training, evaluating, and deploying Machine Learning / Deep Learning / NLP / Time Series models.
• Experience with Predictive/Statistical Modeling techniques such as Regression, Support Vector Machines, Decision Trees, Bagging, Boosting, Clustering and Mathematical Simulation techniques like Monte Carlo.

Qualifications We Prefer

• Experience with data science platforms such as Dataiku, Databricks, Alteryx.
• Experience with Deep Learning frameworks like PyTorch or TensorFlow. Experience with vector databases/libraries like OpenSearch, ElasticSearch, Milvus, FIASS.
• Experience with open-source frameworks for building Generative AI models/applications powered by large language models (LLMs) like LangChain, LlamaIndex, Haystack, Nvidia NeMo Guardrails.
• Experience with building and deploying data science applications using Streamlit, Gradio, RShiny, etc.
• Experience in using linear/integer/non-linear optimization techniques to formulate optimization solutions that tackle real-world business problems using toolkits such as CPLEX, Gurobi, GAMS, GLPK or similar open-source tools.

What We Offer

Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Learn More & Apply Now

• Location: Remote – This position is currently designated as fully remote. However, the successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories).

The salary range for this role is 64,000 USD - 128,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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