Senior Data Scientist

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Data-Scientist, Machine-Learning-Scientist, Applied-Scientist, AI-Researcher, Senior-Data-Science, Senior-Data-Scientist-Jobs, Data-Science
Tech
awsazuregcpairflowdockerkubernetessparkpythonremote-countrydatasenior
Source
himalayas
First observed
2026-10-24 10:12 UTC
Last seen
2026-10-24 10:12 UTC
Source claims posted
2026-10-24 10:06 UTC
Consecutive misses
0 of 10

What the posting says

Job Title: Senior Data Scientist

Location: United States (Can be based anywhere)

Travel: As needed

About the Role

We are looking for a Senior Data Scientist to join a high-performing analytics team working on complex, real-world problems across multiple industries. In this role, you will collaborate with cross-functional teams to design, build, and deploy advanced analytics and AI solutions that drive meaningful business impact.

You'll work on a variety of projects, ranging from optimizing operations to building machine learning and AI-driven applications, while continuing to grow your technical and problem-solving skills.

Key Responsibilities

Translate business problems into data-driven solutions

Perform exploratory data analysis and identify key insights

Build, test, and deploy machine learning and AI models

Develop and evaluate models using statistical techniques and experimentation (including A/B testing)

Work with modern AI approaches such as large language models (LLMs) and retrieval-augmented generation (RAG) when applicable

Deploy solutions via APIs or data pipelines and monitor performance over time

Collaborate with engineers and product teams to integrate solutions into applications

Ensure models are accurate, explainable, and scalable

Optimize performance, cost, and efficiency of models and pipelines

What You'll Work With

Python and SQL for data science and analytics

Distributed computing tools like Spark/PySpark

Cloud platforms such as AWS, Azure, or GCP

Tools like Airflow, Databricks, Docker, and Kubernetes

Modern AI/ML techniques including deep learning and GenAI (nice to have)

Qualifications

Bachelor's degree with 8+ years of experience, or Master's/PhD in Computer Science, Statistics, Mathematics, or a related field

Experience applying machine learning to real-world datasets

Strong programming skills in Python and SQL

Experience with large-scale data processing (e.g., Spark)

Familiarity with cloud environments and modern data tools

Strong problem-solving and analytical thinking skills

Excellent communication skills with the ability to explain technical concepts clearly

Ability to work independently in a fast-paced environment

What We Offer

Exposure to a wide range of industries and use cases

Opportunities to work on cutting-edge AI and data science projects

A collaborative, fast-paced, and learning-focused environment

Strong mentorship and career growth opportunities

Competitive compensation and comprehensive benefits

Candidates must be authorized to work in the U.S. without current or future sponsorship.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1523011 2026-10-24 10:12 UTC
    Published