Remote Senior Data Scientist — ML Engineer & Mentor

artefactlinkedin; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote‑first setup

Meal and transportation benefits

Gympass and insurance

Job summary

artefactlinkedin is seeking a senior data scientist to design, build, and maintain scalable data products that enable analytics and informed decision making across the business.

Role blends hands‑on ML engineering with technical leadership in a remote‑first international team, using fluent English. You’ll mentor juniors, ensure data quality, and deliver production‑grade models with monitoring.

Qualifications

• Degree in Computer Science, Statistics, Engineering, Economics, or another quantitative field.
• Strong Python skills for data science, including pandas, NumPy, scikit‑learn, and PySpark.
• Hands‑on experience with cloud platforms (GCP, AWS, Azure, Databricks).
• Familiarity with data warehousing and databases (PostgreSQL, SQL Server, BigQuery, Snowflake).
• Experience with supervised models (XGBoost, logistic regression) and clustering.
• Working knowledge of MLOps tooling (Databricks, MLflow, SageMaker, Vertex AI) and Git workflows (GitHub, Azure DevOps, GitLab).
• Strong communication, mentoring ability, problem solving, and fluent English for an international environment.

Responsibilities

• Design, develop, and deploy end‑to‑end ML models with data acquisition and feature engineering.
• Collaborate with analysts, product managers, and engineers to translate problems into DS frameworks.
• Engineer features from large datasets to boost model accuracy and business performance.
• Ensure data quality and define dataset requirements for analytics and modeling.
• Monitor deployed models, handle drift and performance bottlenecks.
• Document methodologies, findings, and strategic recommendations for technical and non‑technical audiences.
• Mentor junior data scientists and analysts through code reviews and design sessions.

Skills

Python

Pandas

NumPy

scikit-learn

PySpark

GCP

AWS

Azure

Databricks

PostgreSQL

SQL Server

BigQuery

Snowflake

XGBoost

Logistic regression

Clustering

MLOps

Databricks MLflow

SageMaker

Vertex AI

GitHub

Azure DevOps

GitLab

Communication

Education

Degree in Computer Science or quantitative field

Tools

Databricks

MLflow

SageMaker

Vertex AI

GitHub

Azure DevOps

GitLab

BigQuery

Snowflake

Job description

artefactlinkedin is seeking a senior data scientist to design, build, and maintain scalable data products that enable analytics and informed decision making across the business.

Role blends hands‑on ML engineering with technical leadership in a remote‑first international team, using fluent English. You’ll mentor juniors, ensure data quality, and deliver production‑grade models with monitoring.