149 applicants

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Company

Original Job Post

RTX · 6 days ago

Data Scientist, Workforce Intelligence

Farmington, CT

Full-time

Hybrid

Entry, Mid Level

$64K/yr - $128K/yr

2+ years exp

Wonder how qualified you are to the job?

AerospaceManufacturing

Insider Connection @RTX

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

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.

Design, build, deploy, and maintain Machine Learning, Deep Learning, NLP, Time Series, Mathematical Optimization, and Generative AI models to improve the employee lifecycle.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLData WranglingMachine LearningDeep LearningNLPTime SeriesPredictive ModelingStatistical ModelingRegressionSupport Vector MachinesDecision TreesBaggingBoostingClusteringMonte Carlo SimulationData Science PlatformsDeep Learning FrameworksVector DatabasesGenerative AI ModelsOpen-Source FrameworksData Science ApplicationsOptimization TechniquesToolkits

Required

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.

Preferred

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.

Benefits

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

Holidays

Company

RTX

Glassdoor

3.8

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Founded in 1922

Waltham, Massachusetts, USA

10,001+ employees