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Data Scientist

Raleigh🌐 Remote💼 Full-time💰 $125,000–$125,000🗓 2026-09-01 → 2026-09-25

Core

Design, implement, and optimize predictive and statistical models for enterprise marketing use cases, translating ambiguous business challenges into technical specifications and AI product roadmaps.

Role type

Senior IC Data Scientist (AI/ML)

Builds

Production-grade AI/ML applications, model-serving APIs, and analytical dashboards for enterprise marketing decision-making.

Domain

Enterprise B2B technology marketing / Software industry

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Python, SQL (PostgreSQL, PL/SQL, Spark SQL), Machine Learning (XGBoost, LightGBM, CatBoost, PyMC), NLP (NLTK, gensim, spaCy), Reinforcement Learning (Gymnasium, Ray), MLOps (GitLab, Kubeflow, MLflow), Docker, Kubernetes, OpenShift, Tableau, Streamlit, JIRA

Preferred skills

Graph Neural Networks (PyTorch Geometric), Transfer Learning, Semantic Search, Academic research integration

Technologies

XGBoost, LightGBM, CatBoost, PyMC, NLTK, gensim, spaCy, Gymnasium, Ray, GitLab, Kubeflow, MLflow, Docker, Podman, Kubernetes, OpenShift, Tableau, Streamlit, JIRA, PostgreSQL, PL/SQL, Spark SQL

Responsibilities

Design and optimize predictive models using Gradient Boosting and Bayesian frameworks; Develop automated data transformation and preprocessing workflows within MLOps frameworks; Define statistical evaluation metrics and drift detection mechanisms; Design analytical dashboards in Tableau and interactive prototypes in Streamlit; Translate business challenges into formal technical specifications and AI product roadmaps; Analyze production data trends and system telemetry to identify factors affecting AI system outputs; Lead strategic AI solution planning and prioritization within agile frameworks; Apply NLP, Transformer architectures, and Reinforcement Learning to oversee AI/ML system lifecycles; Review scientific literature to incorporate advanced modeling methodologies; Oversee model training, cross-validation, recalibration, and continuous improvement processes; Develop production-grade AI/ML applications and build APIs for model serving.

Seniority

Senior, hands-on IC

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