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
- 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
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1523011 2026-10-24 10:12 UTCPublished