AL/ML Engineers/ Data Scientist

2 days ago

Eden Prairie, United States Dexian Full time

AL/ML Engineers/ Data Scientist

Remote

C2H role


Drive end-to-end Machine Learning projects with high degrees of ambiguity, scale, and complexity.

Develop novel machine learning (ML) algorithms and indicators for time-series forecasting, with applications in actuarial reserving and the development of affordability programs.

Implement state-of-the-art machine learning models and evaluate their performance.

Communicate the performance of machine learning algorithms across an interdisciplinary team.

Write internal and external documentation of novel algorithms, including publications in machine learning and other scientific conferences and journals.

Develop research and innovation agendas.

Collaborate with fellow scientists and engineers.


5+ years of industry/academic experience in machine learning or a related field.

Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including non-parametric tests, linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs.

Experience with Python, Apache Spark (PySpark, Databricks), and DevOps tools (Git, GitHub Actions, Docker, etc.).




Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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