Data Scientist, Workforce Intelligence (Remote) Job Opportunity at RTX Corporation

Date Posted: June 7, 2024

Country: United States of America

Location: Remote - Farmington, CT

About RTX Corporation

RTX Corporation is a leading Aerospace and Defense company providing advanced systems and services for commercial, military, and government customers worldwide. Comprising three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon – RTX harnesses the skills of 185,000 employees to push the boundaries of known science. Focus areas include quantum physics, electric propulsion, directed energy, hypersonics, avionics, and cybersecurity. Headquartered in Arlington, VA, RTX was formed in 2020 through the merger of Raytheon Company and United Technologies Corporation’s aerospace businesses.

Our Commitment to Diversity and Inclusion

At RTX, we strive to create an environment where all employees are respected, valued, and supported. We believe diversity drives stronger business results, fueling success for employees, partners, investors, and communities. Our commitment to diversity manifests in our business practices and opportunities for growth.

Position Overview: Data Scientist, Workforce Intelligence

Join our RTX Workforce Intelligence team to bring diverse perspectives, data, research, and technology together. Our mission is to provide insights enhancing business performance, employee experience, and HR strategy through advanced workforce solutions and strategic consulting.

Key Responsibilities

• Assist RTX businesses, HR business partners, and HR Centers of Excellence in making data-driven people decisions.
• Collaborate with a dynamic, growing Advanced Analytics team to develop, deploy, and adopt HR data science and AI initiatives enterprise-wide.
• Work with other Data Scientists to design, build, deploy, and maintain Machine Learning, Deep Learning, Natural Language Processing (NLP), Time Series, Mathematical Optimization, and Generative AI (LLMs) models aimed at improving the employee lifecycle—from attracting and recruiting to development and retention.

Required Qualifications

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

Preferred Qualifications

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

What We Offer

At RTX, we provide a robust total rewards package, including compensation, healthcare, wellness, retirement, and work/life benefits. Our offerings include:

• Parental leave (including paternal leave)
• Flexible work schedules
• Achievement awards
• Educational assistance
• Child/adult backup care

The salary range for this role is $64,000 - $128,000 USD, representing a good faith estimate for all experience levels. The offer considers several factors, including role,